Forming global representations with extended backpropagation. - Risto Miikkulainen; Michael G. Dyer (ICNN, 1988)

A PDP Architecture For Processing Sentences With Relative Clauses. - Risto Miikkulainen (COLING, 1990)

Natural Language Processing With Modular PDP Networks and Distributed Lexicon. - Risto Miikkulainen; Michael G. Dyer (Cogn. Sci., 1991)

Trace feature map: a model of episodic associative memory. - Risto Miikkulainen (Biol. Cybern., 1992)

Subsymbolic natural language processing - an integrated model of scripts, lexicon, and memory. - Risto Miikkulainen (MIT Press, 1993)

Incremental grid growing: encoding high-dimensional structure into a two-dimensional feature map. - Justine Blackmore; Risto Miikkulainen (ICNN, 1993)

Representing visual schemas in neural networks for scene analysis. - Wee Kheng Leow; Risto Miikkulainen (ICNN, 1993)

How lateral interaction develops in a self-organizing feature map. - Joseph Sirosh; Risto Miikkulainen (ICNN, 1993)

Parsing Embedded Clauses with Distributed Neural Networks. - Risto Miikkulainen; Dennis Bijwaard (AAAI, 1994)

The Capacity of Convergence-Zone Episodic Memory. - Mark Moll; Risto Miikkulainen; Jonathan Abbey (AAAI, 1994)

Evolving Neural Networks to Focus Minimax Search. - David E. Moriarty; Risto Miikkulainen (AAAI, 1994)

Improving Game-Tree Search with Evolutionary Neural Networks. - David E. Moriarty; Risto Miikkulainen (International Conference on Evolutionary Computation, 1994)

Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations. - Risto Miikkulainen (ICTAI, 1994)

SARDNET: A Self-Organizing Feature Map for Sequences. - Daniel L. James; Risto Miikkulainen (NIPS, 1994)

Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex. - Joseph Sirosh; Risto Miikkulainen (NIPS, 1994)

Cooperative self-organization of afferent and lateral connections in cortical maps. - Joseph Sirosh; Risto Miikkulainen (Biol. Cybern., 1994)

VISOR: Schema-based scene analysis with structured neural networks. - Wee Kheng Leow; Risto Miikkulainen (Neural Process. Lett., 1994)

A Unified Neural Network Model for the Self-organization of Topographic Receptive Fields and Lateral Interaction. - Joseph Sirosh; Risto Miikkulainen (ICANNGA, 1995)

Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network. - Justine Blackmore; Risto Miikkulainen (ICML, 1995)

Efficient Learning from Delayed Rewards through Symbiotic Evolution. - David E. Moriarty; Risto Miikkulainen (ICML, 1995)

Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition. - Yoonsuck Choe; Joseph Sirosh; Risto Miikkulainen (NIPS, 1995)

Script-Based Inference and Memory Retrieval in Subsymbolic Story Processing. - Risto Miikkulainen (Appl. Intell., 1995)

Discovering Complex Othello Strategies through Evolutionary Neural Networks. - David E. Moriarty; Risto Miikkulainen (Connect. Sci., 1995)

On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning. - Patrick Goetz; Shailesh Kumar; Risto Miikkulainen (ICML, 1996)

Subsymbolic Case-Role Analysis of Sentences With Embedded Clauses. - Risto Miikkulainen (Cogn. Sci., 1996)

Efficient Reinforcement Learning through Symbiotic Evolution. - David E. Moriarty; Risto Miikkulainen (Mach. Learn., 1996)

Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex. - Joseph Sirosh; Risto Miikkulainen (Neural Process. Lett., 1996)

Culling and Teaching in Neuro-Evolution. - Paul McQuesten; Risto Miikkulainen (ICGA, 1997)

Evolving Neural Networks to Play Go. - Norman Richards; David E. Moriarty; Paul McQuesten; Risto Miikkulainen (ICGA, 1997)

Self-Organization and Segmentation with Laterally Connected Spiking Neurons. - Yoonsuck Choe; Risto Miikkulainen (IJCAI, 1997)

Intrusion Detection with Neural Networks. - Jake Ryan; Meng-Jang Lin; Risto Miikkulainen (NIPS, 1997)

Incremental Evolution of Complex General Behavior. - Faustino J. Gomez; Risto Miikkulainen (Adapt. Behav., 1997)

Visual Schemas in Neural Networks for Object Recognition and Scene Analysis. - Wee Kheng Leow; Risto Miikkulainen (Connect. Sci., 1997)

Forming Neural Networks Through Efficient and Adaptive Coevolution. - David E. Moriarty; Risto Miikkulainen (Evol. Comput., 1997)

Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex. - Joseph Sirosh; Risto Miikkulainen (Neural Comput., 1997)

Convergence-Zone Episodic Memory: Analysis and Simulations. - Mark Moll; Risto Miikkulainen (Neural Networks, 1997)

Combining Maps and Distributed Representations for Shift-Reduce Parsing. - Marshall R. Mayberry; Risto Miikkulainen (Hybrid Neural Systems, 1998)

A Self-Organizing Neural Network Model of the Primary Visual Cortex. - Risto Miikkulainen; James A. Bednar; Yoonsuck Choe; Joseph Sirosh (ICONIP, 1998)

Evolving Neural Networks to Play Go. - Norman Richards; David E. Moriarty; Risto Miikkulainen (Appl. Intell., 1998)

Self-organization and segmentation in a laterally connected orientation map of spiking neurons. - Yoonsuck Choe; Risto Miikkulainen (Neurocomputing, 1998)

Solving Non-Markovian Control Tasks with Neuro-Evolution. - Faustino J. Gomez; Risto Miikkulainen (IJCAI, 1999)

Confidence Based Dual Reinforcement Q-Routing: An adaptive online network routing algorithm. - Shailesh Kumar; Risto Miikkulainen (IJCAI, 1999)

SARDSRN: A Neural Network Shift-Reduce Parser. - Marshall R. Mayberry; Risto Miikkulainen (IJCAI, 1999)

Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning? - James A. Bednar; Risto Miikkulainen (AAAI/IAAI, 2000)

A Self-Organizing Neural Network for Contour Integration through Synchronized Firing. - Yoonsuck Choe; Risto Miikkulainen (AAAI/IAAI, 2000)

Eugenic Neuro-Evolution for Reinforcement Learning. - Daniel Polani; Risto Miikkulainen (GECCO, 2000)

Effects of presynaptic, postsynaptic resource redistribution in Hebbian weight adaptation. - Yoonsuck Choe; Risto Miikkulainen; Lawrence K. Cormack (Neurocomputing, 2000)

Hebbian learning and temporary storage in the convergence-zone model of episodic memory. - Michael Howe; Risto Miikkulainen (Neurocomputing, 2000)

Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex. - James A. Bednar; Risto Miikkulainen (Neural Comput., 2000)

Online Interactive Neuro-evolution. - Adrian K. Agogino; Kenneth O. Stanley; Risto Miikkulainen (Neural Process. Lett., 2000)

Intelligent process control utilising symbiotic memetic neuro-evolution. - Alex v. E. Conradie; Risto Miikkulainen; Chris Aldrich (IEEE Congress on Evolutionary Computation, 2002)

Numerical optimization with neuroevolution. - Brian Greer; Henri Hakonen; Risto Lahdelma; Risto Miikkulainen (IEEE Congress on Evolutionary Computation, 2002)

Efficient evolution of neural network topologies. - Kenneth O. Stanley; Risto Miikkulainen (IEEE Congress on Evolutionary Computation, 2002)

Eugenic Evolution Utilizing A Domain Model. - Matthew Alden; Aard-Jan van Kesteren; Risto Miikkulainen (GECCO, 2002)

Adaptive Control Utilising Neural Swarming. - Alex v. E. Conradie; Risto Miikkulainen; Christiaan Aldrich (GECCO, 2002)

Continual Coevolution Through Complexification. - Kenneth O. Stanley; Risto Miikkulainen (GECCO, 2002)

Efficient Reinforcement Learning Through Evolving Neural Network Topologies. - Kenneth O. Stanley; Risto Miikkulainen (GECCO, 2002)

Evolving Neural Network through Augmenting Topologies. - Kenneth O. Stanley; Risto Miikkulainen (Evol. Comput., 2002)

Modeling large cortical networks with growing self-organizing maps. - James A. Bednar; Amol Kelkar; Risto Miikkulainen (Neurocomputing, 2002)

Modeling directional selectivity using self-organizing delay-adaptation maps. - Tal Tversky; Risto Miikkulainen (Neurocomputing, 2002)

Neuroevolution for adaptive teams. - Bobby D. Bryant; Risto Miikkulainen (IEEE Congress on Evolutionary Computation, 2003)

Evolving adaptive neural networks with and without adaptive synapses. - Kenneth O. Stanley; Bobby D. Bryant; Risto Miikkulainen (IEEE Congress on Evolutionary Computation, 2003)

Active Guidance for a Finless Rocket Using Neuroevolution. - Faustino J. Gomez; Risto Miikkulainen (GECCO, 2003)

Evolving Keepaway Soccer Players through Task Decomposition. - Shimon Whiteson; Nate Kohl; Risto Miikkulainen; Peter Stone 001 (GECCO, 2003)

Utilizing Domain Knowledge in Neuroevolution. - James Fan; Raymond Lau 001; Risto Miikkulainen (ICML, 2003)

A Taxonomy for Artificial Embryogeny. - Kenneth O. Stanley; Risto Miikkulainen (Artif. Life, 2003)

Self-organization of spatiotemporal receptive fields and laterally connected direction and orientation maps. - James A. Bednar; Risto Miikkulainen (Neurocomputing, 2003)

The role of postsynaptic potential decay rate in neural synchrony. - Yoonsuck Choe; Risto Miikkulainen (Neurocomputing, 2003)

Learning Innate Face Preferences. - James A. Bednar; Risto Miikkulainen (Neural Comput., 2003)

Transfer of Neuroevolved Controllers in Unstable Domains. - Faustino J. Gomez; Risto Miikkulainen (GECCO (2), 2004)

Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting. - Uli Grasemann; Risto Miikkulainen (GECCO (2), 2004)

Evolving Reusable Neural Modules. - Joseph Reisinger; Kenneth O. Stanley; Risto Miikkulainen (GECCO (2), 2004)

Evolving a Roving Eye for Go. - Kenneth O. Stanley; Risto Miikkulainen (GECCO (2), 2004)

Contour integration and segmentation with self-organized lateral connections. - Yoonsuck Choe; Risto Miikkulainen (Biol. Cybern., 2004)

Modeling cortical maps with Topographica. - James A. Bednar; Yoonsuck Choe; Judah B. De Paula; Risto Miikkulainen; Jefferson Provost; Tal Tversky (Neurocomputing, 2004)

Prenatal and postnatal development of laterally connected orientation maps. - James A. Bednar; Risto Miikkulainen (Neurocomputing, 2004)

Competitive Coevolution through Evolutionary Complexification. - Kenneth O. Stanley; Risto Miikkulainen (J. Artif. Intell. Res., 2004)

Scaling self-organizing maps to model large cortical networks. - James A. Bednar; Amol Kelkar; Risto Miikkulainen (Neuroinformatics, 2004)

New developments in self-organizing systems. - Masumi Ishikawa; Risto Miikkulainen; Helge J. Ritter (Neural Networks, 2004)

Computational Maps in the Visual Cortex. - Risto Miikkulainen; James A. Bednar; Yoonsuck Choe; Joseph Sirosh (Springer, 2005)

Retaining Learned Behavior During Real-Time Neuroevolution. - Thomas D'Silva; Roy Janik; Micahel Chrien; Kenneth O. Stanley; Risto Miikkulainen (AIIDE, 2005)

Real-time Learning in the NERO Video Game. - Kenneth O. Stanley; Ryan Cornelius; Risto Miikkulainen (AIIDE, 2005)

Real-Time Evolution in the NERO Video Game (Winner of CIG 2005 Best Paper Award). - Kenneth O. Stanley; Bobby D. Bryant; Risto Miikkulainen (CIG, 2005)

Efficient credit assignment through evaluation function decomposition. - Adrian K. Agogino; Kagan Tumer; Risto Miikkulainen (GECCO, 2005)

Effective image compression using evolved wavelets. - Uli Grasemann; Risto Miikkulainen (GECCO, 2005)

Evolving neural network ensembles for control problems. - David Pardoe; Michael S. Ryoo; Risto Miikkulainen (GECCO, 2005)

Towards an empirical measure of evolvability. - Joseph Reisinger; Kenneth O. Stanley; Risto Miikkulainen (GECCO Workshops, 2005)

Learning basic navigation for personal satellite assistant using neuroevolution. - Yiu-Fai Sit; Risto Miikkulainen (GECCO, 2005)

Neuroevolution of an automobile crash warning system. - Kenneth O. Stanley; Nate Kohl; Rini Sherony; Risto Miikkulainen (GECCO, 2005)

Constructing good learners using evolved pattern generators. - Vinod K. Valsalam; James A. Bednar; Risto Miikkulainen (GECCO, 2005)

Automatic feature selection in neuroevolution. - Shimon Whiteson; Peter Stone 001; Kenneth O. Stanley; Risto Miikkulainen; Nate Kohl (GECCO, 2005)

Self-organization of color opponent receptive fields and laterally connected orientation maps. - James A. Bednar; Judah B. De Paula; Risto Miikkulainen (Neurocomputing, 2005)

Evolving Soccer Keepaway Players Through Task Decomposition. - Shimon Whiteson; Nate Kohl; Risto Miikkulainen; Peter Stone 001 (Mach. Learn., 2005)

Broad-Coverage Parsing with Neural Networks. - Marshall R. Mayberry; Risto Miikkulainen (Neural Process. Lett., 2005)

Real-time neuroevolution in the NERO video game. - Kenneth O. Stanley; Bobby D. Bryant; Risto Miikkulainen (IEEE Trans. Evol. Comput., 2005)

Real-Time Evolution of Neural Networks in the NERO Video Game. - Kenneth O. Stanley; Bobby D. Bryant; Igor Karpov; Risto Miikkulainen (AAAI, 2006)

Real-Time Interactive Learning in the NERO Video Game. - Kenneth O. Stanley; Igor Karpov; Risto Miikkulainen; Aliza Gold (AAAI, 2006)

Evolvability in Developmental Systems. - Joseph Reisinger; Risto Miikkulainen (AAAI Fall Symposium: Developmental Systems, 2006)

The NERO Video Game. - Kenneth O. Stanley; Igor Karpov; Risto Miikkulainen; Aliza Gold (AIIDE, 2006)

Incorporating Advice into Neuroevolution of Adaptive Agents. - Chern Han Yong; Kenneth O. Stanley; Risto Miikkulainen; Igor Karpov (AIIDE, 2006)

Evolving Stochastic Controller Networks for Intelligent Game Agents. - Bobby D. Bryant; Risto Miikkulainen (IEEE Congress on Evolutionary Computation, 2006)

Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents. - Bobby D. Bryant; Risto Miikkulainen (CIG, 2006)

Integration and Evaluation of Exploration-Based Learning in Games. - Igor Karpov; Thomas D'Silva; Craig Varrichio; Kenneth O. Stanley; Risto Miikkulainen (CIG, 2006)

Efficient Non-linear Control Through Neuroevolution. - Faustino J. Gomez; Jürgen Schmidhuber; Risto Miikkulainen (ECML, 2006)

Evolving a real-world vehicle warning system. - Nate Kohl; Kenneth O. Stanley; Risto Miikkulainen; Michael E. Samples; Rini Sherony (GECCO, 2006)

Coevolution of neural networks using a layered pareto archive. - German A. Monroy; Kenneth O. Stanley; Risto Miikkulainen (GECCO, 2006)

Selecting for evolvable representations. - Joseph Reisinger; Risto Miikkulainen (GECCO, 2006)

Detecting Motion in the Environment with a Moving Quadruped Robot. - Peggy Fidelman; Thayne R. Coffman; Risto Miikkulainen (RoboCup, 2006)

Developing navigation behavior through self-organizing distinctive-state abstraction. - Jefferson Provost; Benjamin Kuipers; Risto Miikkulainen (Connect. Sci., 2006)

Joint maps for orientation, eye, and direction preference in a self-organizing model of V1. - James A. Bednar; Risto Miikkulainen (Neurocomputing, 2006)

Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1. - Stefanie Jegelka; James A. Bednar; Risto Miikkulainen (Neurocomputing, 2006)

Self-organization of hierarchical visual maps with feedback connections. - Yiu-Fai Sit; Risto Miikkulainen (Neurocomputing, 2006)

Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution. - Bobby D. Bryant; Risto Miikkulainen (AAAI, 2007)

Coevolving Strategies for General Game Playing. - Joseph Reisinger; Erkin Bahçeci; Igor Karpov; Risto Miikkulainen (CIG, 2007)

Evolving explicit opponent models in game playing. - Alan J. Lockett; Charles L. Chen; Risto Miikkulainen (GECCO, 2007)

Acquiring evolvability through adaptive representations. - Joseph Reisinger; Risto Miikkulainen (GECCO, 2007)

System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks. - Manish Saggar; Tekin Meriçli; Sari Andoni; Risto Miikkulainen (IJCNN, 2007)

Semantic Boost on Episodic Associations: An Empirically-Based Computational Model. - Yaron Silberman; Shlomo Bentin; Risto Miikkulainen (Cogn. Sci., 2007)

A computational model of the signals in optical imaging with voltage-sensitive dyes. - Yiu-Fai Sit; Risto Miikkulainen (Neurocomputing, 2007)

Developing Complex Systems Using Evolved Pattern Generators. - Vinod K. Valsalam; James A. Bednar; Risto Miikkulainen (IEEE Trans. Evol. Comput., 2007)

OpenNERO: A Game Platform for AI Research and Education. - Igor Karpov; John Sheblak; Risto Miikkulainen (AIIDE, 2008)

Constructing Complex NPC Behavior via Multi-Objective Neuroevolution. - Jacob Schrum; Risto Miikkulainen (AIIDE, 2008)

Transfer of evolved pattern-based heuristics in games. - Erkin Bahçeci; Risto Miikkulainen (CIG, 2008)

Evolving opponent models for Texas Hold 'Em. - Alan J. Lockett; Risto Miikkulainen (CIG, 2008)

Evolving neural networks for fractured domains. - Nate Kohl; Risto Miikkulainen (GECCO, 2008)

Modular neuroevolution for multilegged locomotion. - Vinod K. Valsalam; Risto Miikkulainen (GECCO, 2008)

Online kernel selection for Bayesian reinforcement learning. - Joseph Reisinger; Peter Stone 001; Risto Miikkulainen (ICML, 2008)

Accelerated Neural Evolution through Cooperatively Coevolved Synapses. - Faustino J. Gomez; Jürgen Schmidhuber; Risto Miikkulainen (J. Mach. Learn. Res., 2008)

Evolving multi-modal behavior in NPCs. - Jacob Schrum; Risto Miikkulainen (CIG, 2009)

Evolving neural networks. - Risto Miikkulainen; Kenneth O. Stanley (GECCO (Companion), 2009)

Evolving symmetric and modular neural networks for distributed control. - Vinod K. Valsalam; Risto Miikkulainen (GECCO, 2009)

Representing Semantic Graphs in a Self-Organizing Map. - Marshall R. Mayberry; Risto Miikkulainen (WSOM, 2009)

Modeling the Bilingual Lexicon of an Individual Subject. - Risto Miikkulainen; Swathi Kiran (WSOM, 2009)

Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing. - Yiu-Fai Sit; Risto Miikkulainen (Neural Comput., 2009)

Evolving neural networks for strategic decision-making problems. - Nate Kohl; Risto Miikkulainen (Neural Networks, 2009)

Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution. - Thomas D'Silva; Risto Miikkulainen (Neural Process. Lett., 2009)

Coevolution of Role-Based Cooperation in Multiagent Systems. - Chern Han Yong; Risto Miikkulainen (IEEE Trans. Auton. Ment. Dev., 2009)

Latent Class Models for Algorithm Portfolio Methods. - Bryan Silverthorn; Risto Miikkulainen (AAAI, 2010)

Constructing competitive and cooperative agent behavior using coevolution. - Aditya Rawal; Padmini Rajagopalan; Risto Miikkulainen (CIG, 2010)

Emergence of competitive and cooperative behavior using coevolution. - Padmini Rajagopalan; Aditya Rawal; Risto Miikkulainen (GECCO, 2010)

Evolving agent behavior in multiobjective domains using fitness-based shaping. - Jacob Schrum; Risto Miikkulainen (GECCO, 2010)

Hopfield Network. - Risto Miikkulainen (Encyclopedia of Machine Learning, 2010)

Neuroevolution. - Risto Miikkulainen (Encyclopedia of Machine Learning, 2010)

Neuron. - Risto Miikkulainen (Encyclopedia of Machine Learning, 2010)

Reservoir Computing. - Risto Miikkulainen (Encyclopedia of Machine Learning, 2010)

Simple Recurrent Network. - Risto Miikkulainen (Encyclopedia of Machine Learning, 2010)

Topology of a Neural Network. - Risto Miikkulainen (Encyclopedia of Machine Learning, 2010)

Weight. - Risto Miikkulainen (Encyclopedia of Machine Learning, 2010)

Creating intelligent agents through shaping of coevolution. - Adam Dziuk; Risto Miikkulainen (IEEE Congress on Evolutionary Computation, 2011)

Measure-theoretic evolutionary annealing. - Alan J. Lockett; Risto Miikkulainen (IEEE Congress on Evolutionary Computation, 2011)

The role of reward structure, coordination mechanism and net return in the evolution of cooperation. - Padmini Rajagopalan; Aditya Rawal; Risto Miikkulainen; Marc A. Wiseman; Kay E. Holekamp (CIG, 2011)

UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces. - Jacob Schrum; Igor Karpov; Risto Miikkulainen (CIG, 2011)

Modeling Acute and Compensated Language Disturbance in Schizophrenia. - Uli Grasemann; Ralph Hoffman; Risto Miikkulainen (CogSci, 2011)

Human-assisted neuroevolution through shaping, advice and examples. - Igor Karpov; Vinod K. Valsalam; Risto Miikkulainen (GECCO, 2011)

Real-space evolutionary annealing. - Alan J. Lockett; Risto Miikkulainen (GECCO, 2011)

Learning geometry from sensorimotor experience. - Jeremy Stober; Risto Miikkulainen; Benjamin Kuipers (ICDL-EPIROB, 2011)

Learning Polarity from Structure in SAT. - Bryan Silverthorn; Risto Miikkulainen (SAT, 2011)

Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model. - Uli Grasemann; Chaleece Sandberg; Swathi Kiran; Risto Miikkulainen (WSOM, 2011)

Evolving Symmetry for Modular System Design. - Vinod K. Valsalam; Risto Miikkulainen (IEEE Trans. Evol. Comput., 2011)

Believable Bot Navigation via Playback of Human Traces. - Igor V. Karpov; Jacob Schrum; Risto Miikkulainen (Believable Bots, 2012)

Human-Like Combat Behaviour via Multiobjective Neuroevolution. - Jacob Schrum; Igor V. Karpov; Risto Miikkulainen (Believable Bots, 2012)

Task decomposition with neuroevolution in extended predator-prey domain. - Ashish Jain; Anand Subramoney; Risto Miikkulainen (ALIFE, 2012)

Evolution of a Communication Code in Cooperative Tasks. - Aditya Rawal; Padmini Rajagopalan; Risto Miikkulainen; Kay E. Holekamp (ALIFE, 2012)

HyperNEAT-GGP: a hyperNEAT-based atari general game player. - Matthew J. Hausknecht; Piyush Khandelwal; Risto Miikkulainen; Peter Stone 001 (GECCO, 2012)

Accelerating evolution via egalitarian social learning. - Wesley Tansey; Eliana Feasley; Risto Miikkulainen (GECCO, 2012)

Architecture of a cyberphysical avatar. - Song Han 002; Aloysius K. Mok; Jianyong Meng; Yi-Hung Wei; Pei-Chi Huang; Xiuming Zhu; Luis Sentis; Kwan-Suk Kim; Risto Miikkulainen; Jacob Menashe (REACTION, 2012)

Multiagent Learning through Neuroevolution. - Risto Miikkulainen; Eliana Feasley; Leif M. Johnson; Igor Karpov; Padmini Rajagopalan; Aditya Rawal; Wesley Tansey (WCCI, 2012)

Constructing controllers for physical multilegged robots using the ENSO neuroevolution approach. - Vinod K. Valsalam; Jonathan D. Hiller; Robert MacCurdy; Hod Lipson; Risto Miikkulainen (Evol. Intell., 2012)

Evolving Multimodal Networks for Multitask Games. - Jacob Schrum; Risto Miikkulainen (IEEE Trans. Comput. Intell. AI Games, 2012)

An Integrated Neuroevolutionary Approach to Reactive Control and High-Level Strategy. - Nate Kohl; Risto Miikkulainen (IEEE Trans. Evol. Comput., 2012)

Evolutionary reature evaluation for online Reinforcement Learning. - Julian Bishop; Risto Miikkulainen (CIG, 2013)

General Video Game Playing. - John Levine; Clare Bates Congdon; Marc Ebner; Graham Kendall; Simon M. Lucas; Risto Miikkulainen; Tom Schaul; Tommy Thompson (Artificial and Computational Intelligence in Games, 2013)

A measure-theoretic analysis of stochastic optimization. - Alan J. Lockett; Risto Miikkulainen (FOGA, 2013)

Effective diversity maintenance in deceptive domains. - Joel Lehman; Kenneth O. Stanley; Risto Miikkulainen (GECCO, 2013)

Open-ended behavioral complexity for evolved virtual creatures. - Dan Lessin; Don Fussell; Risto Miikkulainen (GECCO, 2013)

Neuroannealing: martingale optimization for neural networks. - Alan J. Lockett; Risto Miikkulainen (GECCO, 2013)

Architecture of a cyberphysical avatar. - Song Han 002; Aloysius K. Mok; Jianyong Meng; Yi-Hung Wei; Pei-Chi Huang; Quan Leng; Xiuming Zhu; Luis Sentis; Kwan-Suk Kim; Risto Miikkulainen (ICCPS, 2013)

Extended scaled neural predictor for improved branch prediction. - Zihao Zhou; Mayank Kejriwal; Risto Miikkulainen (IJCNN, 2013)

Boosting Interactive Evolution Using Human Computation Markets. - Joel Lehman; Risto Miikkulainen (TPNC, 2013)

Using symmetry and evolutionary search to minimize sorting networks. - Vinod K. Valsalam; Risto Miikkulainen (J. Mach. Learn. Res., 2013)

Neuroevolution. - Joel Lehman; Risto Miikkulainen (Scholarpedia, 2013)

Adopting Morphology to Multiple Tasks in Evolved Virtual Creatures. - Dan Lessin; Don Fussell; Risto Miikkulainen (ALIFE, 2014)

Evolving Multimodal Behavior Through Subtask and Switch Neural Networks. - Xun Li; Risto Miikkulainen (ALIFE, 2014)

The Evolution of General Intelligence. - Padmini Rajagopalan; Kay E. Holekamp; Risto Miikkulainen (ALIFE, 2014)

Evolution of Communication in Mate Selection. - Aditya Rawal; Janette Boughman; Risto Miikkulainen (ALIFE, 2014)

Grasping novel objects with a dexterous robotic hand through neuroevolution. - Pei-Chi Huang; Joel Lehman; Aloysius K. Mok; Risto Miikkulainen; Luis Sentis (CICA, 2014)

Overcoming deception in evolution of cognitive behaviors. - Joel Lehman; Risto Miikkulainen (GECCO, 2014)

Trading control intelligence for physical intelligence: muscle drives in evolved virtual creatures. - Dan Lessin; Don Fussell; Risto Miikkulainen (GECCO, 2014)

General intelligence through prolonged evolution of densely connected neural networks. - Padmini Rajagopalan; Aditya Rawal; Kay E. Holekamp; Risto Miikkulainen (GECCO (Companion), 2014)

Evolving multimodal behavior with modular neural networks in Ms. Pac-Man. - Jacob Schrum; Risto Miikkulainen (GECCO, 2014)

GRADE: Machine Learning Support for Graduate Admissions. - Austin Waters; Risto Miikkulainen (AI Mag., 2014)

Evolutionary annealing: global optimization in measure spaces. - Alan J. Lockett; Risto Miikkulainen (J. Glob. Optim., 2014)

A Neuroevolution Approach to General Atari Game Playing. - Matthew J. Hausknecht; Joel Lehman; Risto Miikkulainen; Peter Stone 001 (IEEE Trans. Comput. Intell. AI Games, 2014)

Frame Skip Is a Powerful Parameter for Learning to Play Atari. - Alexander Braylan; Mark Hollenbeck; Elliot Meyerson; Risto Miikkulainen (AAAI Workshop: Learning for General Competency in Video Games, 2015)

Neural-Symbolic Learning and Reasoning: Contributions and Challenges. - Artur S. d'Avila Garcez; Tarek R. Besold; Luc De Raedt; Peter Földiák; Pascal Hitzler; Thomas Icard; Kai-Uwe Kühnberger; Luís C. Lamb; Risto Miikkulainen; Daniel L. Silver (AAAI Spring Symposia, 2015)

Evaluating team behaviors constructed with human-guided machine learning. - Igor V. Karpov; Leif M. Johnson; Risto Miikkulainen (CIG, 2015)

Tutorial III: Evolving neural networks. - Risto Miikkulainen (CIG, 2015)

Evolving Strategies for Social Innovation Games. - Erkin Bahçeci; Riitta Katila; Risto Miikkulainen (GECCO, 2015)

Enhancing Divergent Search through Extinction Events. - Joel Lehman; Risto Miikkulainen (GECCO, 2015)

Evolutionary Bilevel Optimization for Complex Control Tasks. - Jason Zhi Liang; Risto Miikkulainen (GECCO, 2015)

Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution. - Jacob Schrum; Risto Miikkulainen (GECCO, 2015)

On the Cross-Domain Reusability of Neural Modules for General Video Game Playing. - Alexander Braylan; Mark Hollenbeck; Elliot Meyerson; Risto Miikkulainen (CGW/GIGA@IJCAI, 2015)

Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation. - Pei-Chi Huang; Luis Sentis; Joel Lehman; Chien-Liang Fok; Aloysius K. Mok; Risto Miikkulainen (RTSS, 2015)

Increasing Behavioral Complexity for Evolved Virtual Creatures with the ESP Method. - Dan Lessin; Don Fussell; Risto Miikkulainen; Sebastian Risi (CoRR, 2015)

Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. - Manish Saggar; Anthony P. Zanesco; Brandon G. King; David A. Bridwell; Katherine A. MacLean; Stephen R. Aichele; Tonya L. Jacobs; B. Alan Wallace; Clifford D. Saron; Risto Miikkulainen (NeuroImage, 2015)

Reuse of Neural Modules for General Video Game Playing. - Alexander Braylan; Mark Hollenbeck; Elliot Meyerson; Risto Miikkulainen (AAAI, 2016)

Object-Model Transfer in the General Video Game Domain. - Alexander Eric Braylan; Risto Miikkulainen (AIIDE, 2016)

Evolving Artificial Language through Evolutionary Reinforcement Learning. - Risto Miikkulainen; Xun Li (ALIFE, 2016)

Distributed Age-Layered Novelty Search. - Risto Miikkulainen; Hormoz Shahrzad; Babak Hodjat (ALIFE, 2016)

Surrogate-based evolutionary optimization for friction stir welding. - Cem Celal Tutum; Shaayaan Sayed; Risto Miikkulainen (CEC, 2016)

Learning Behavior Characterizations for Novelty Search. - Elliot Meyerson; Joel Lehman; Risto Miikkulainen (GECCO, 2016)

Evolving Neural Networks. - Risto Miikkulainen (GECCO (Companion), 2016)

Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective. - Aditya Rawal; Risto Miikkulainen (GECCO, 2016)

Estimating the Advantage of Age-Layering in Evolutionary Algorithms. - Hormoz Shahrzad; Babak Hodjat; Risto Miikkulainen (GECCO, 2016)

PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. - Babak Hodjat; Hormoz Shahrzad; Risto Miikkulainen; Lawrence Murray; Chris C. Holmes (GPTP, 2016)

Using SOMs to Gain Insight into Human Language Processing. - Risto Miikkulainen (WSOM, 2016)

Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution. - Jacob Schrum; Risto Miikkulainen (Evol. Comput., 2016)

Guest Editorial: Physics-Based Simulation Games. - Jochen Renz; Risto Miikkulainen; Nathan R. Sturtevant; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2016)

Discovering Multimodal Behavior in Ms. Pac-Man Through Evolution of Modular Neural Networks. - Jacob Schrum; Risto Miikkulainen (IEEE Trans. Comput. Intell. AI Games, 2016)

MARLEDA: Effective distribution estimation through Markov random fields. - Matthew Alden; Risto Miikkulainen (Theor. Comput. Sci., 2016)

Evolving Adaptive Poker Players for Effective Opponent Exploitation. - Xun Li; Risto Miikkulainen (AAAI Workshops, 2017)

From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain. - Nora E. Aguirre-Celis; Manuel Valenzuela-Rendón; Risto Miikkulainen (CogSci, 2017)

Discovering evolutionary stepping stones through behavior domination. - Elliot Meyerson; Risto Miikkulainen (GECCO, 2017)

Conversion rate optimization through evolutionary computation. - Risto Miikkulainen; Neil Iscoe; Aaron Shagrin; Ron Cordell; Sam Nazari; Cory Schoolland; Myles Brundage; Jonathan Epstein; Randy Dean; Gurmeet Lamba (GECCO, 2017)

Evolutionary decomposition for 3D printing. - Eric A. Yu; Jin Yeom; Cem Celal Tutum; Etienne Vouga; Risto Miikkulainen (GECCO, 2017)

How to select a winner in evolutionary optimization? - Risto Miikkulainen; Hormoz Shahrzad; Nigel Duffy; Philip M. Long (SSCI, 2017)

Evolving Deep Neural Networks. - Risto Miikkulainen; Jason Zhi Liang; Elliot Meyerson; Aditya Rawal; Daniel Fink 003; Olivier Francon; Bala Raju; Hormoz Shahrzad; Arshak Navruzyan; Nigel Duffy; Babak Hodjat (CoRR, 2017)

A Probabilistic Reformulation of No Free Lunch: Continuous Lunches Are Not Free. - Alan J. Lockett; Risto Miikkulainen (Evol. Comput., 2017)

Hopfield Network. - Risto Miikkulainen (Encyclopedia of Machine Learning and Data Mining, 2017)

Neuroevolution. - Risto Miikkulainen (Encyclopedia of Machine Learning and Data Mining, 2017)

Neuron. - Risto Miikkulainen (Encyclopedia of Machine Learning and Data Mining, 2017)

Reservoir Computing. - Risto Miikkulainen (Encyclopedia of Machine Learning and Data Mining, 2017)

Simple Recurrent Network. - Risto Miikkulainen (Encyclopedia of Machine Learning and Data Mining, 2017)

Topology of a Neural Network. - Risto Miikkulainen (Encyclopedia of Machine Learning and Data Mining, 2017)

Weight. - Risto Miikkulainen (Encyclopedia of Machine Learning and Data Mining, 2017)

Dynamic Adaptation and Opponent Exploitation in Computer Poker. - Xun Li; Risto Miikkulainen (AAAI Workshops, 2018)

Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization. - Risto Miikkulainen; Neil Iscoe; Aaron Shagrin; Ryan Rapp; Sam Nazari; Patrick McGrath; Cory Schoolland; Elyas Achkar; Myles Brundage; Jeremy Miller; Jonathan Epstein; Gurmeet Lamba (AAAI, 2018)

Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain. - Nora E. Aguirre-Celis; Risto Miikkulainen (BI, 2018)

Opponent modeling and exploitation in poker using evolved recurrent neural networks. - Xun Li; Risto Miikkulainen (GECCO, 2018)

Evolutionary architecture search for deep multitask networks. - Jason Zhi Liang; Elliot Meyerson; Risto Miikkulainen (GECCO, 2018)

Functional generative design: an evolutionary approach to 3D-printing. - Cem Celal Tutum; Supawit Chockchowwat; Etienne Vouga; Risto Miikkulainen (GECCO, 2018)

Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. - Elliot Meyerson; Risto Miikkulainen (ICLR (Poster), 2018)

Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back. - Elliot Meyerson; Risto Miikkulainen (ICML, 2018)

Enhanced Optimization with Composite Objectives and Novelty Selection. - Hormoz Shahrzad; Daniel Fink 003; Risto Miikkulainen (ALIFE, 2018)

Enhancing Evolutionary Optimization in Uncertain Environments by Allocating Evaluations via Multi-armed Bandit Algorithms. - Xin Qiu 001; Risto Miikkulainen (CoRR, 2018)

From Nodes to Networks: Evolving Recurrent Neural Networks. - Aditya Rawal; Risto Miikkulainen (CoRR, 2018)

Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. - Reza Mahjourian; Navdeep Jaitly; Nevena Lazic; Sergey Levine; Risto Miikkulainen (CoRR, 2018)

Discretization of Game Space by Environment Attributes. - Alexander Braylan; Risto Miikkulainen (KEG@AAAI, 2019)

Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. - Xin Qiu 001; Risto Miikkulainen (AAAI, 2019)

Quantifying the Conceptual Combination Effect on Word Meanings. - Nora E. Aguirre-Celis; Risto Miikkulainen (CogSci, 2019)

Evolutionary neural AutoML for deep learning. - Jason Zhi Liang; Elliot Meyerson; Babak Hodjat; Daniel Fink 003; Karl Mutch; Risto Miikkulainen (GECCO, 2019)

Implementing evolutionary optimization to model neural functional connectivity. - Kaitlin Maile; Manish Saggar; Risto Miikkulainen (GECCO (Companion), 2019)

Enhanced optimization with composite objectives and novelty pulsation. - Hormoz Shahrzad; Babak Hodjat; Camille Dollé; Andrei Denissov; Simon Lau; Donn Goodhew; Justin Dyer; Risto Miikkulainen (GECCO (Companion), 2019)

Functional generative design of mechanisms with recurrent neural networks and novelty search. - Cameron R. Wolfe; Cem Celal Tutum; Risto Miikkulainen (GECCO, 2019)

Faster Training by Selecting Samples Using Embeddings. - Santiago Gonzalez; Joshua Landgraf; Risto Miikkulainen (IJCNN, 2019)

Factors that Affect the Evolution of Complex Cooperative Behavior. - Padmini Rajagopalan; Kay E. Holekamp; Risto Miikkulainen (ALIFE, 2019)

Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. - Elliot Meyerson; Risto Miikkulainen (NeurIPS, 2019)

Work-in-Progress: Leveraging the Selfless Driving Model to Reduce Vehicular Network Congestion. - Guangli Dai; Pavan Kumar Paluri; Thomas Carmichael; Albert Mo Kim Cheng; Risto Miikkulainen (RTSS, 2019)

Creative AI Through Evolutionary Computation. - Risto Miikkulainen (CoRR, 2019)

Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential. - Risto Miikkulainen; Bret Greenstein; Babak Hodjat; Jerry Smith (CoRR, 2019)

Designing neural networks through neuroevolution. - Kenneth O. Stanley; Jeff Clune; Joel Lehman; Risto Miikkulainen (Nat. Mach. Intell., 2019)

Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework. - Pei-Chi Huang; Luis Sentis; Joel Lehman; Chien-Liang Fok; Aloysius K. Mok; Risto Miikkulainen (ACM Trans. Cyber Phys. Syst., 2019)

Constructing Game Agents Through Simulated Evolution. - Jacob Schrum; Risto Miikkulainen (Encyclopedia of Computer Graphics and Games, 2019)

Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. - Santiago Gonzalez; Risto Miikkulainen (CEC, 2020)

A Comparison of the Taguchi Method and Evolutionary optimization in Multivariate Testing. - Jingbo Jiang; Diego Legrand; Robert Severn; Risto Miikkulainen (CEC, 2020)

Evolution of Complex Coordinated Behavior. - Padmini Rajagopalan; Kay E. Holekamp; Risto Miikkulainen (CEC, 2020)

MDEA: Malware Detection with Evolutionary Adversarial Learning. - Xiruo Wang; Risto Miikkulainen (CEC, 2020)

Evolutionary optimization of deep learning activation functions. - Garrett Bingham; William Macke; Risto Miikkulainen (GECCO, 2020)

Effective reinforcement learning through evolutionary surrogate-assisted prescription. - Olivier Francon; Santiago Gonzalez; Babak Hodjat; Elliot Meyerson; Risto Miikkulainen; Xin Qiu 001; Hormoz Shahrzad (GECCO, 2020)

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. - Xin Qiu 001; Elliot Meyerson; Risto Miikkulainen (ICLR, 2020)

Adapting to Unseen Environments through Explicit Representation of Context. - Cem Celal Tutum; Risto Miikkulainen (ALIFE, 2020)

Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization. - Risto Miikkulainen; Myles Brundage; Jonathan Epstein; Tyler Foster; Babak Hodjat; Neil Iscoe; Jingbo Jiang; Diego Legrand; Sam Nazari; Xin Qiu 001; Michael Scharff; Cory Schoolland; et al. (AI Mag., 2020)

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. - Joel Lehman; Jeff Clune; Dusan Misevic; Christoph Adami; Lee Altenberg; Julie Beaulieu; Peter J. Bentley; Samuel Bernard; Guillaume Beslon; David M. Bryson; Nick Cheney; Patryk Chrabaszcz; et al. (Artif. Life, 2020)

Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. - Santiago Gonzalez; Risto Miikkulainen (CoRR, 2020)

Population-Based Training for Loss Function Optimization. - Jason Zhi Liang; Santiago Gonzalez; Risto Miikkulainen (CoRR, 2020)

Using context to make gas classifiers robust to sensor drift. - J. Warner; A. Devaraj; Risto Miikkulainen (CoRR, 2020)

From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. - Risto Miikkulainen; Olivier Francon; Elliot Meyerson; Xin Qiu 001; Elisa Canzani; Babak Hodjat (CoRR, 2020)

Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior. - Nora E. Aguirre-Celis; Risto Miikkulainen (CoRR, 2020)

Effective Regularization Through Loss-Function Metalearning. - Santiago Gonzalez; Risto Miikkulainen (CoRR, 2020)

Discovering Gated Recurrent Neural Network Architectures. - Aditya Rawal; Jason Zhi Liang; Risto Miikkulainen (Deep Neural Evolution, 2020)

Generalization of Agent Behavior through Explicit Representation of Context. - Cem Celal Tutum; Suhaib Abdulquddos; Risto Miikkulainen (CoG, 2021)

Optimizing loss functions through multi-variate taylor polynomial parameterization. - Santiago Gonzalez; Risto Miikkulainen (GECCO, 2021)

Regularized evolutionary population-based training. - Jason Zhi Liang; Santiago Gonzalez; Hormoz Shahrzad; Risto Miikkulainen (GECCO, 2021)

Evolution of neural networks. - Risto Miikkulainen (GECCO Companion, 2021)

Evaluating medical aesthetics treatments through evolved age-estimation models. - Risto Miikkulainen; Elliot Meyerson; Xin Qiu 001; Ujjayant Sinha; Raghav Kumar; Karen Hofmann; Yiyang Matt Yan; Michael Ye; Jingyuan Yang 003; Damon Caiazza; Stephanie Manson Brown (GECCO, 2021)

The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. - Elliot Meyerson; Risto Miikkulainen (ICLR, 2021)

Improving Neural Network Learning Through Dual Variable Learning Rates. - Elizabeth Liner; Risto Miikkulainen (IJCNN, 2021)

Evolving GAN Formulations for Higher Quality Image Synthesis. - Santiago Gonzalez; Mohak Kant; Risto Miikkulainen (CoRR, 2021)

NeuroComb: Improving SAT Solving with Graph Neural Networks. - Wenxi Wang; Yang Hu; Mohit Tiwari; Sarfraz Khurshid; Kenneth L. McMillan; Risto Miikkulainen (CoRR, 2021)

A biological perspective on evolutionary computation. - Risto Miikkulainen; Stephanie Forrest (Nat. Mach. Intell., 2021)

Creative AI Through Evolutionary Computation: Principles and Examples. - Risto Miikkulainen (SN Comput. Sci., 2021)

From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. - Risto Miikkulainen; Olivier Francon; Elliot Meyerson; Xin Qiu 001; Darren Sargent; Elisa Canzani; Babak Hodjat (IEEE Trans. Evol. Comput., 2021)

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. - Xin Qiu 001; Risto Miikkulainen (AAAI, 2022)

Constructing Individualized Computational Models for Dementia Patients. - Peggy Fidelman; Uli Grasemann; Claudia Peñaloza; Michael Scimeca; Yakeel T. Quiroz; Swathi Kiran; Risto Miikkulainen (CogSci, 2022)

Effective mutation rate adaptation through group elite selection. - Akarsh Kumar; Bo Liu 042; Risto Miikkulainen; Peter Stone 001 (GECCO, 2022)

Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). - Elliot Meyerson; Xin Qiu 001; Risto Miikkulainen (GECCO, 2022)

Evolving explainable rule sets. - Hormoz Shahrzad; Babak Hodjat; Risto Miikkulainen (GECCO Companion, 2022)

DIAS: A Domain-Independent Alife-Based Problem-Solving System. - Babak Hodjat; Hormoz Shahrzad; Risto Miikkulainen (CoRR, 2022)

Evolution of Transparent Explainable Rule-sets. - Hormoz Shahrzad; Babak Hodjat; Risto Miikkulainen (CoRR, 2022)

How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features. - Nora E. Aguirre-Celis; Risto Miikkulainen (Frontiers Artif. Intell., 2022)

AI reflections in 2021. - Cameron Buckner; Risto Miikkulainen; Stephanie Forrest; Silvia Milano; James Zou 001; Carina Prunk; Christopher Irrgang; I. Glenn Cohen; Hao Su 002; Robin R. Murphy; Russell H. Taylor; Axel Krieger; et al. (Nat. Mach. Intell., 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

Discovering Parametric Activation Functions. - Garrett Bingham; Risto Miikkulainen (Neural Networks, 2022)

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. - Garrett Bingham; Risto Miikkulainen (AAAI, 2023)

Accelerating Evolution Through Gene Masking and Distributed Search. - Hormoz Shahrzad; Risto P. Miikkulainen (GECCO, 2023)

Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. - Xin Qiu 001; Risto Miikkulainen (ICML, 2023)

Efficient Activation Function Optimization through Surrogate Modeling. - Garrett Bingham; Risto Miikkulainen (NeurIPS, 2023)

Evolving Strategies for Competitive Multi-Agent Search. - Erkin Bahçeci; Riitta Katila; Risto Miikkulainen (CoRR, 2023)

Discovering Effective Policies for Land-Use Planning. - Risto Miikkulainen; Olivier Francon; Daniel Young; Elliot Meyerson; Babak Hodjat (CoRR, 2023)

Using Context to Adapt to Sensor Drift. - Jamieson Warner; Ashwin Devaraj; Risto Miikkulainen (ICDL, 2024)

NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks. - Wenxi Wang; Yang Hu; Mohit Tiwari; Sarfraz Khurshid; Kenneth L. McMillan; Risto Miikkulainen (ICLR, 2024)

Unlocking the Potential of Global Human Expertise. - Elliot Meyerson; Olivier Francon; Darren Sargent; Babak Hodjat; Risto Miikkulainen (NeurIPS, 2024)

Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space. - Xin Qiu 001; Risto Miikkulainen (NeurIPS, 2024)

Generative AI: An AI paradigm shift in the making? - Risto Miikkulainen (AI Mag., 2024)

Domain-Independent Lifelong Problem Solving Through Distributed ALife Actors. - Babak Hodjat; Hormoz Shahrzad; Risto Miikkulainen (Artif. Life, 2024)

Asynchronous evolution of deep neural network architectures. - Jason Zhi Liang; Hormoz Shahrzad; Risto Miikkulainen (Appl. Soft Comput., 2024)

Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management. - Ashok Khanna; Olivier Francon; Risto Miikkulainen (CoRR, 2024)

Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models. - Xin Qiu 001; Risto Miikkulainen (CoRR, 2024)

GPU-Accelerated Rule Evaluation and Evolution. - Hormoz Shahrzad; Risto Miikkulainen (CoRR, 2024)

Effective Regularization Through Evolutionary Loss-Function Metalearning. - Santiago Gonzalez; Xin Qiu 001; Risto Miikkulainen (CEC, 2025)

How the Stroop Effect Arises from Optimal Response Times in Laterally Connected Self-Organizing Maps. - Divya Prabhakaran; Uli Grasemann; Swathi Kiran; Risto Miikkulainen (CoRR, 2025)

The Odyssey of the Fittest: Can Agents Survive and Still Be Good? - Dylan Waldner; Risto Miikkulainen (CoRR, 2025)

Transformer Based Time-Series Forecasting for Stock. - Shuozhe Li; Zachery B. Schulwol; Risto Miikkulainen (CoRR, 2025)

Evolutionary Policy Optimization. - Zelal Su; Keshav Pingali; Risto Miikkulainen (CoRR, 2025)

Neural Cellular Automata for ARC-AGI. - Kevin Xu; Risto Miikkulainen (CoRR, 2025)

EVOTER: Evolution of Transparent Explainable Rule-sets. - Hormoz Shahrzad; Babak Hodjat; Risto Miikkulainen (ACM Trans. Evol. Learn. Optim., 2025)