Avoiding the Past: A Simple but Effective Strategy for Reactive Navigation. - Tucker R. Balch; Ronald C. Arkin (ICRA (1), 1993)

Communication of Behavioral State in Multi-agent Retrieval Tasks. - Elizabeth Nitz; Ronald C. Arkin; Tucker R. Balch (ICRA (3), 1993)

Dynamic scheduling for mobile robots. - Tucker R. Balch; Harold C. Forbes; Karsten Schwan (RTS, 1994)

Communication in reactive multiagent robotic systems. - Tucker R. Balch; Ronald C. Arkin (Auton. Robots, 1994)

Motor Schema-Based Formation Control for Multiagent Robot Teams. - Tucker R. Balch; Ronald C. Arkin (ICMAS, 1995)

Io, Ganymede, and Callisto A Multiagent Robot Trash-Collecting Team. - Tucker R. Balch; Gary Boone; Thomas R. Collins; Harold C. Forbes; Douglas C. MacKenzie; Juan Carlos Santamaría (AI Mag., 1995)

Teaming Up: Georgia Tech's Multi-Robot Competition Teams. - Thomas R. Collins; Tucker R. Balch (AAAI/IAAI, 1997)

Fast optical hazard detection for planetary rovers using multiple spot laser triangulation. - Larry H. Matthies; Tucker R. Balch; Brian H. Wilcox (ICRA, 1997)

Design and implementation of a teleautonomous hummer. - Darrin C. Bentivegna; Kahled S. Ali; Ronald C. Arkin; Tucker Balch (Mobile Robots, 1997)

Java Soccer. - Tucker R. Balch (RoboCup, 1997)

Integrating Learning with Motor Schema-Based Control for a Robot Soccer Team. - Tucker R. Balch (RoboCup, 1997)

AuRA: principles and practice in review. - Ronald C. Arkin; Tucker R. Balch (J. Exp. Theor. Artif. Intell., 1997)

Profile of a Winner: Georgia Tech. - Tucker R. Balch (AI Mag., 1998)

Behavior-based formation control for multirobot teams. - Tucker R. Balch; Ronald C. Arkin (IEEE Trans. Robotics Autom., 1998)

The Impact of Diversity on Performance in Multi-Robot Foraging. - Tucker R. Balch (Agents, 1999)

Overview of RoboCup-99. - Manuela M. Veloso; Hiroaki Kitano; Enrico Pagello; Gerhard K. Kraetzschmar; Peter Stone 001; Tucker R. Balch; Minoru Asada; Silvia Coradeschi; Lars Karlsson; Masahiro Fujita (RoboCup, 1999)

Integrating information, planning, and execution monitoring agents. - Manuela M. Veloso; Tucker R. Balch; Scott Lenser (Agents, 2000)

Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot. - Manuela M. Veloso; Elly Winner; Scott Lenser; James Bruce; Tucker R. Balch (AIPS, 2000)

Behavior-Based Coordination of Large-Scale Robot Formations. - Tucker R. Balch; Maria Hybinette (ICMAS, 2000)

Social Potentials for Scalable Multi-Robot Formations. - Tucker R. Balch; Maria Hybinette (ICRA, 2000)

Fast and inexpensive color image segmentation for interactive robots. - James Bruce; Tucker R. Balch; Manuela M. Veloso (IROS, 2000)

Progress in RoboCup Soccer Research in 2000. - Minoru Asada; Andreas Birk 002; Enrico Pagello; Masahiro Fujita; Itsuki Noda; Satoshi Tadokoro; Dominique Duhaut; Peter Stone 001; Manuela M. Veloso; Tucker R. Balch; Hiroaki Kitano; Brian Thomas (ISER, 2000)

Merging Gaussian Distributions for Object Localization in Multi-robot Systems. - Ashley W. Stroupe; Martin C. Martin; Tucker R. Balch (ISER, 2000)

CMU Hammerheads Team Description. - Rosemary Emery; Tucker R. Balch; Rande Shern; Kevin Sikorski; Ashley W. Stroupe (RoboCup, 2000)

Overview of RoboCup-2000. - Peter Stone 001; Minoru Asada; Tucker R. Balch; Masahiro Fujita; Gerhard K. Kraetzschmar; Henrik Hautop Lund; Paul Scerri; Satoshi Tadokoro; Gordon F. Wyeth (RoboCup, 2000)

Overview of RoboCup-99. - Silvia Coradeschi; Lars Karlsson; Peter Stone 001; Tucker R. Balch; Gerhard K. Kraetzschmar; Minoru Asada (AI Mag., 2000)

AAAI-98 Robot Exhibition. - Karen Zita Haigh; Tucker R. Balch (AI Mag., 2000)

The AAAI 1999 Mobile Robot Competitions and Exhibitions. - Lisa Meeden; Alan C. Schultz; Tucker R. Balch; Rahul Bhargava; Karen Zita Haigh; Marc Böhlen; Cathryne Stein; David P. Miller (AI Mag., 2000)

Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity. - Tucker R. Balch (Auton. Robots, 2000)

Guest Editorial. - Tucker R. Balch; Lynne E. Parker (Auton. Robots, 2000)

Automatically tracking and analyzing the behavior of live insect colonies. - Tucker R. Balch; Zia Khan; Manuela M. Veloso (Agents, 2001)

Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning. - Martin Zinkevich; Tucker R. Balch (ICML, 2001)

Behavior-Based Control of a Non-Holonomic Robot in Pushing Tasks. - Rosemary Emery; Tucker R. Balch (ICRA, 2001)

Distributed Sensor Fusion for Object Position Estimation by Multi-Robot Systems. - Ashley W. Stroupe; Martin C. Martin; Tucker R. Balch (ICRA, 2001)

CMU Hammerheads 2001 Team Description. - Stephen B. Stancliff; Ravi Balasubramanian; Tucker R. Balch; Rosemary Emery; Kevin Sikorski; Ashley W. Stroupe (RoboCup, 2001)

Protocols for Collaboration, Coordination and Dynamic Role Assignment in a Robot Team. - Rosemary Emery; Kevin Sikorski; Tucker R. Balch (ICRA, 2002)

Collaborative probabilistic constraint-based landmark localization. - Ashley W. Stroupe; Tucker R. Balch (IROS, 2002)

The Georgia Tech Yellow Jackets: A Marsupial Team for Urban Search and Rescue. - Frank Dellaert; Tucker R. Balch; Michael Kaess; Ram Ravichandran; Fernando Alegre; Marc Berhault; Robert McGuire; Ernest Merrill; Lilia V. Moshkina; Daniel Walker (AAAI Mobile Robot Competition, 2002)

Constraint-Based Landmark Localization. - Ashley W. Stroupe; Kevin Sikorski; Tucker R. Balch (RoboCup, 2002)

Ten Years of the AAAI Mobile Robot Competition and Exhibition. - Tucker R. Balch; Holly A. Yanco (AI Mag., 2002)

The 2002 AAAI Spring Symposium Series. - Jussi Karlgren; Pentti Kanerva; Björn Gambäck; Kenneth D. Forbus; Kagan Tumer; Peter Stone 001; Kai Goebel; Gaurav S. Sukhatme; Tucker R. Balch; Bernd Fischer 002; Doug Smith; Sanda M. Harabagiu; et al. (AI Mag., 2002)

RoboCup-2001: The Fifth Robotic Soccer World Championships. - Manuela M. Veloso; Tucker R. Balch; Peter Stone 001; Hiroaki Kitano; Fuminori Yamasaki; Ken Endo; Minoru Asada; Mansour Jamzad; Sayyed Bashir Sadjad; Vahab S. Mirrokni; Moslem Kazemi; Hamid Reza Chitsaz; et al. (AI Mag., 2002)

RoboCup 2001. - Pedro U. Lima; Tucker R. Balch; Masahiro Fujita; Raúl Rojas 001; Manuela M. Veloso; Holly A. Yanco (IEEE Robotics Autom. Mag., 2002)

Efficient particle filter-based tracking of multiple interacting targets using an MRF-based motion model. - Zia Khan; Tucker R. Balch; Frank Dellaert (IROS, 2003)

The AAAI-2002 Mobile Robot Competition and Exhibition. - Holly A. Yanco; Tucker R. Balch (AI Mag., 2003)

Distributed Path Planning for Robots in Dynamic Environments Using a Pervasive Embedded Network. - Keith J. O'Hara; Tucker R. Balch (AAMAS, 2004)

A Rao-Blackwellized Particle Filter for EigenTracking. - Zia Khan; Tucker R. Balch; Frank Dellaert (CVPR (2), 2004)

Pervasive Sensor-less Networks for Cooperative Multi-robot Tasks. - Keith J. O'Hara; Tucker R. Balch (DARS, 2004)

Value-Based Communication Preservation for Mobile Robots. - Matthew Powers; Tucker Balch (DARS, 2004)

An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. - Zia Khan; Tucker R. Balch; Frank Dellaert (ECCV (4), 2004)

Value-based Action Selection for Exploration and Dynamic Target Observation with Robot Teams. - Ashley W. Stroupe; Ramprasad Ravichandran; Tucker R. Balch (ICRA, 2004)

Communication, Diversity and Learning: Cornerstones of Swarm Behavior. - Tucker R. Balch (Swarm Robotics, 2004)

Special Issue on Mathematics and Algorithms of Social Interactions. - Carl Anderson; Tucker R. Balch (Adapt. Behav., 2004)

Representing Honey Bee Behavior for Recognition Using Human Trainable Models. - Adam Feldman; Tucker R. Balch (Adapt. Behav., 2004)

Using Optimal Foraging Models to Evaluate Learned Robotic Foraging Behavior. - Patrick Ulam; Tucker R. Balch (Adapt. Behav., 2004)

Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems. - Sang Min Oh; James M. Rehg; Tucker R. Balch; Frank Dellaert (AAAI, 2005)

Multitarget Tracking with Split and Merged Measurements. - Zia Khan; Tucker R. Balch; Frank Dellaert (CVPR (1), 2005)

Learning and Inference in Parametric Switching Linear Dynamical Systems. - Sang Min Oh; James M. Rehg; Tucker R. Balch; Frank Dellaert (ICCV, 2005)

What Are the Ants Doing? Vision-Based Tracking and Reconstruction of Control Programs. - Magnus Egerstedt; Tucker R. Balch; Frank Dellaert; Florent Delmotte; Zia Khan (ICRA, 2005)

Physical Path Planning Using the GNATs. - Keith J. O'Hara; Victor Bigio; Eric R. Dodson; Arya Irani; Daniel Walker; Tucker R. Balch (ICRA, 2005)

MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets. - Zia Khan; Tucker R. Balch; Frank Dellaert (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Value-based action selection for observation with robot teams using probabilistic techniques. - Ashley W. Stroupe; Tucker R. Balch (Robotics Auton. Syst., 2005)

Learning executable agent behaviors from observation. - Andrew Guillory; Hai Nguyen; Tucker R. Balch; Charles Lee Isbell Jr. (AAMAS, 2006)

A Distributed Multi-robot Cooperation Framework for Real Time Task Achievement. - Sanem Sariel; Tucker Balch (DARS, 2006)

Empirical Evaluation of Auction-Based Coordination of AUVs in a Realistic Simulated Mine Countermeasure Task. - Sanem Sariel; Tucker Balch; Jason R. Stack (DARS, 2006)

Efficient Bids on Task Allocation for Multi-Robot Exploration. - Sanem Sariel; Tucker R. Balch (FLAIRS, 2006)

Robust multi-robot cooperation through dynamic task allocation and precaution routines. - Sanem Sariel; Tucker R. Balch; Nadia Erdogan (ICINCO-RA, 2006)

Evaluation of a Large Scale Pervasive Embedded Network for Robot Path Planning. - Keith J. O'Hara; Victor Bigio; Shaun Whitt; Daniel Walker; Tucker R. Balch (ICRA, 2006)

AutoPower: Toward Energy-aware Software Systems for Distributed Mobile Robots. - Keith J. O'Hara; Ripal Nathuji; Himanshu Raj; Karsten Schwan; Tucker R. Balch (ICRA, 2006)

Spirits: Using Virtualization and Pervasiveness to Manage Mobile Robot Software Systems. - Himanshu Raj; Balasubramanian Seshasayee; Keith J. O'Hara; Ripal Nathuji; Karsten Schwan; Tucker R. Balch (SelfMan, 2006)

Learning from examples in unstructured, outdoor environments. - Jie Sun 004; Tejas R. Mehta; David Wooden; Matthew Powers; James M. Rehg; Tucker R. Balch; Magnus Egerstedt (J. Field Robotics, 2006)

MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements. - Zia Khan; Tucker R. Balch; Frank Dellaert (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

How Multirobot Systems Research will Accelerate our Understanding of Social Animal Behavior. - Tucker R. Balch; Frank Dellaert; Adam Feldman; Andrew Guillory; Charles Lee Isbell Jr.; Zia Khan; Stephen C. Pratt; Andrew N. Stein; Hank Wilde (Proc. IEEE, 2006)

A Tracker for Multiple Dynamic Targets Using Multiple Sensors. - Adam Feldman; Summer Adams; Maria Hybinette; Tucker R. Balch (ICRA, 2007)

Incremental multi-robot task selection for resource constrained and interrelated tasks. - Sanem Sariel; Tucker R. Balch; Nadia Erdogan (IROS, 2007)

Control-driven mapping and planning. - David Wooden; Matthew Powers; Douglas C. MacKenzie; Tucker R. Balch; Magnus Egerstedt (IROS, 2007)

A Modular, Hybrid System Architecture for Autonomous, Urban Driving. - David Wooden; Matthew Powers; Magnus Egerstedt; Henrik I. Christensen; Tucker R. Balch (J. Aerosp. Comput. Inf. Commun., 2007)

Engaging Computing Students with AI and Robotics. - Deepak Kumar 002; Douglas S. Blank; Tucker R. Balch; Keith J. O'Hara; Mark Guzdial; Stewart Tansley (AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science, 2008)

Memory-based learning for visual odometry. - Richard Roberts 001; Hai Nguyen; Niyant Krishnamurthi; Tucker R. Balch (ICRA, 2008)

Cost based planning with RRT in outdoor environments. - Jinhan Lee; Charles Pippin; Tucker R. Balch (IROS, 2008)

Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems. - Sang Min Oh; James M. Rehg; Tucker R. Balch; Frank Dellaert (Int. J. Comput. Vis., 2008)

Designing Personal Robots for Education: Hardware, Software, and Curriculum. - Tucker R. Balch; Jay Summet; Douglas S. Blank; Deepak Kumar 002; Mark Guzdial; Keith J. O'Hara; Daniel Walker; Monica Sweat; Gaurav Gupta; Stewart Tansley; Jared Jackson; Mansi Gupta; et al. (IEEE Pervasive Comput., 2008)

Naval Mine Countermeasure Missions. - Sanem Sariel; Tucker R. Balch; Nadia Erdogan (IEEE Robotics Autom. Mag., 2008)

Physical Path Planning Using a Pervasive Embedded Network. - Keith J. O'Hara; Daniel B. Walker; Tucker R. Balch (IEEE Trans. Robotics, 2008)

Graph-based planning using local information for unknown outdoor environments. - Jinhan Lee; Roozbeh Mottaghi; Charles Pippin; Tucker R. Balch (ICRA, 2009)

A learning approach to integration of layers of a hybrid control architecture. - Matthew Powers; Tucker R. Balch (IROS, 2009)

Personalizing CS1 with robots. - Jay Summet; Deepak Kumar 002; Keith J. O'Hara; Daniel Walker; Lijun Ni; Douglas S. Blank; Tucker R. Balch (SIGCSE, 2009)

Learning outdoor mobile robot behaviors by example. - Richard Roberts 001; Charles Pippin; Tucker R. Balch (J. Field Robotics, 2009)

Executive decision support. - Xu Chu Ding; Matthew Powers; Magnus Egerstedt; Shih-Yih Young; Tucker R. Balch (IEEE Robotics Autom. Mag., 2009)

Incremental adaptive integration of layers of a hybrid control architecture. - Matthew Powers; Tucker R. Balch (IROS, 2010)

Augmenting Live Broadcast Sports with 3D Tracking Information. - Rick Cavallaro; Maria Hybinette; Marvin White; Tucker R. Balch (IEEE Multim., 2011)

A Generic Framework for Distributed Multirobot Cooperation. - Sanem Sariel Talay; Tucker R. Balch; Nadia Erdogan (J. Intell. Robotic Syst., 2011)

Conditional Random Fields for Behavior Recognition of Autonomous Underwater Vehicles. - Michael Misha Novitzky; Charles Pippin; Thomas R. Collins; Tucker R. Balch; Michael E. West (DARS, 2012)

Ant Hunt: Towards a Validated Model of Live Ant Hunting Behavior. - Yu-Ting Yang; Andrew Quitmeyer; Brian Hrolenok; Harry Shang; Dinh Bao Nguyen; Tucker R. Balch; Terrance Medina; Cole Sherer; Maria Hybinette (FLAIRS, 2012)

Learning a projective mapping to locate animals in video using RFID. - Pipei Huang; Rahul Sawhney; Daniel Walker; Kim Wallen; Aaron F. Bobick; Shiyin Qin; Tucker R. Balch (IROS, 2012)

Bio-inspired multi-robot communication through behavior recognition. - Michael Misha Novitzky; Charles Pippin; Thomas R. Collins; Tucker R. Balch; Michael E. West (ROBIO, 2012)

The multi-iterative closest point tracker: An online algorithm for tracking multiple interacting targets. - Adam Feldman; Maria Hybinette; Tucker R. Balch (J. Field Robotics, 2012)

Learning Schooling Behavior from Observation. - Brian Hrolenok; Tucker R. Balch (ECAL, 2013)

Inferring Social Structure of Animal Groups from Tracking Data. - Brian Hrolenok; Hanuma Teja Maddali; Michael Misha Novitzky; Tucker Balch (ALIFE, 2014)

Assessing learned models of fish schooling behavior. - Brian Hrolenok; Tucker R. Balch (AAMAS, 2014)

Speeding up large-scale financial recomputation with memoization. - Alexander Moreno; Tucker Balch (WHPCF@SC, 2014)

Behavior-based code generation for robots and autonomous agents. - Terrance Medina; Maria Hybinette; Tucker R. Balch (SimuTools, 2014)

Inferring Social Structure and Dominance Relationships Between Rhesus macaques using RFID Tracking Data. - Hanuma Teja Maddali; Michael Misha Novitzky; Brian Hrolenok; Daniel Walker; Tucker R. Balch; Kim Wallen (CoRR, 2014)

AUV behavior recognition using behavior histograms, HMMs, and CRFs. - Michael Misha Novitzky; Charles Pippin; Thomas R. Collins; Tucker R. Balch; Michael E. West (Robotica, 2014)

Improving financial computation speed with full and subproblem memoization. - Alexander Moreno; Tucker Balch (Concurr. Comput. Pract. Exp., 2016)

Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems. - Brian Hrolenok; Byron Boots; Tucker Hybinette Balch (AAAI, 2017)

Stockyard: A discrete event-based stock market exchange simulator. - Jianling Wang; Vivek George; Tucker Balch; Maria Hybinette (WSC, 2017)

Use of position tracking to infer social structure in rhesus macaques. - Brian Hrolenok; Tucker Balch; David Byrd; Rebecca Roberts; Chanho Kim; James M. Rehg; Scott Gilliland; Kim Wallen (ACI, 2018)

ABIDES: Towards High-Fidelity Market Simulation for AI Research. - David Byrd; Maria Hybinette; Tucker Hybinette Balch (CoRR, 2019)

How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation? - Tucker Hybinette Balch; Mahmoud Mahfouz; Joshua Lockhart; Maria Hybinette; David Byrd (CoRR, 2019)

The Effect of Visual Design in Image Classification. - Naftali Cohen; Tucker Balch; Manuela Veloso (CoRR, 2019)

Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency. - David Byrd; Tucker Hybinette Balch (CoRR, 2019)

Multiplayer AlphaZero. - Nick Petosa; Tucker Balch (CoRR, 2019)

Privacy-Preserving Dark Pools. - Gilad Asharov; Tucker Hybinette Balch; Antigoni Polychroniadou; Manuela Veloso (AAMAS, 2020)

SecretMatch: inventory matching from fully homomorphic encryption. - Tucker Balch; Benjamin E. Diamond; Antigoni Polychroniadou (ICAIF, 2020)

Trading via image classification. - Naftali Cohen; Tucker Balch; Manuela Veloso (ICAIF, 2020)

SURF: improving classifiers in production by learning from busy and noisy end users. - Joshua Lockhart; Samuel Assefa; Ayham Alajdad; Andrew Alexander; Tucker Balch; Manuela Veloso (ICAIF, 2020)

Get real: realism metrics for robust limit order book market simulations. - Svitlana Vyetrenko; David Byrd; Nick Petosa; Mahmoud Mahfouz; Danial Dervovic; Manuela Veloso; Tucker Balch (ICAIF, 2020)

ABIDES: Towards High-Fidelity Multi-Agent Market Simulation. - David Byrd; Maria Hybinette; Tucker Hybinette Balch (SIGSIM-PADS, 2020)

Adversarial Attacks on Machine Learning Systems for High-Frequency Trading. - Micah Goldblum; Avi Schwarzschild; Naftali Cohen; Tucker Balch; Ankit B. Patel; Tom Goldstein (CoRR, 2020)

Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. - Joshua Lockhart; Samuel Assefa; Tucker Balch; Manuela Veloso (CoRR, 2020)

Visual Forecasting of Time Series with Image-to-Image Regression. - Naftali Cohen; Srijan Sood; Zhen Zeng; Tucker Balch; Manuela Veloso (CoRR, 2020)

ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets. - Selim Amrouni; Aymeric Moulin; Jared Vann; Svitlana Vyetrenko; Tucker Balch; Manuela Veloso (ICAIF, 2021)

Privacy-preserving portfolio pricing. - Gilad Asharov; Tucker Balch; Antigoni Polychroniadou (ICAIF, 2021)

Towards realistic market simulations: a generative adversarial networks approach. - Andrea Coletta; Matteo Prata; Michele Conti; Emanuele Mercanti; Novella Bartolini; Aymeric Moulin; Svitlana Vyetrenko; Tucker Balch (ICAIF, 2021)

Profit equitably: an investigation of market maker's impact on equitable outcomes. - Kshama Dwarakanath; Svitlana S. Vyetrenko; Tucker Balch (ICAIF, 2021)

Learning to classify and imitate trading agents in continuous double auction markets. - Mahmoud Mahfouz; Tucker Balch; Manuela Veloso; Danilo P. Mandic (ICAIF, 2021)

Stability effects of arbitrage in exchange traded funds: an agent-based model. - Megan Shearer; David Byrd; Tucker Hybinette Balch; Michael P. Wellman (ICAIF, 2021)

Visual time series forecasting: an image-driven approach. - Srijan Sood; Zhen Zeng; Naftali Cohen; Tucker Balch; Manuela Veloso (ICAIF, 2021)

Deep video prediction for time series forecasting. - Zhen Zeng; Tucker Balch; Manuela Veloso (ICAIF, 2021)

Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. - Yuanlu Bai; Tucker Balch; Haoxian Chen 002; Danial Dervovic; Henry Lam; Svitlana Vyetrenko (CoRR, 2021)

Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators. - Victor Storchan; Svitlana Vyetrenko; Tucker Balch (CoRR, 2021)

Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization. - Yuanlu Bai; Henry Lam; Svitlana Vyetrenko; Tucker Balch (CoRR, 2021)

Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization. - Yuanlu Bai; Henry Lam; Tucker Balch; Svitlana Vyetrenko (ICAIF, 2022)

Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. - David Byrd; Vaikkunth Mugunthan; Antigoni Polychroniadou; Tucker Balch (ICAIF, 2022)

Learning to simulate realistic limit order book markets from data as a World Agent. - Andrea Coletta; Aymeric Moulin; Svitlana Vyetrenko; Tucker Balch (ICAIF, 2022)

Optimal Stopping with Gaussian Processes. - Kshama Dwarakanath; Danial Dervovic; Peyman Tavallali; Svitlana Vyetrenko; Tucker Balch (ICAIF, 2022)

Equitable Marketplace Mechanism Design. - Kshama Dwarakanath; Svitlana Vyetrenko; Tucker Balch (ICAIF, 2022)

Online Learning for Mixture of Multivariate Hawkes Processes. - Mohsen Ghassemi; Niccolò Dalmasso; Simran Lamba; Vamsi K. Potluru; Tucker Balch; Sameena Shah; Manuela Veloso (ICAIF, 2022)

Addressing Extreme Market Responses Using Secure Aggregation. - Sahar Mazloom; Antigoni Polychroniadou; Tucker Balch (ICAIF, 2022)

CTMSTOU driven markets: simulated environment for regime-awareness in trading policies. - Selim Amrouni; Aymeric Moulin; Tucker Balch (CoRR, 2022)

Differentially Private Learning of Hawkes Processes. - Mohsen Ghassemi; Eleonora Kreacic; Niccolò Dalmasso; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (CoRR, 2022)

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. - Nelson Vadori; Leo Ardon; Sumitra Ganesh; Thomas Spooner; Selim Amrouni; Jared Vann; Mengda Xu; Zeyu Zheng; Tucker Balch; Manuela Veloso (CoRR, 2022)

Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. - Renbo Zhao; Niccolò Dalmasso; Mohsen Ghassemi; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (CoRR, 2022)

MicroFedML: Privacy Preserving Federated Learning for Small Weights. - Yue Guo; Antigoni Polychroniadou; Elaine Shi; David Byrd; Tucker Balch (IACR Cryptol. ePrint Arch., 2022)

HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. - William Watson; Nicole Cho; Tucker Balch; Manuela Veloso (EMNLP, 2023)

Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. - Tom Bamford; Andrea Coletta; Elizabeth Fons; Sriram Gopalakrishnan; Svitlana Vyetrenko; Tucker Balch; Manuela Veloso (ICAIF, 2023)

Efficient Event Series Data Modeling via First-Order Constrained Optimization. - Niccolò Dalmasso; Renbo Zhao; Mohsen Ghassemi; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (ICAIF, 2023)

From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. - Zhen Zeng; Rachneet Kaur; Suchetha Siddagangappa; Tucker Balch; Manuela Veloso (ICAIF, 2023)

FlowMind: Automatic Workflow Generation with LLMs. - Zhen Zeng; William Watson; Nicole Cho; Saba Rahimi; Shayleen Reynolds; Tucker Balch; Manuela Veloso (ICAIF, 2023)

K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs. - Andrea Coletta; Svitlana Vyetrenko; Tucker Balch (ICML, 2023)

Differentially private synthetic data using KD-trees. - Eleonora Kreacic; Navid Nouri; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (UAI, 2023)

Transparency As Delayed Observability In Multi-Agent Systems. - Kshama Dwarakanath; Svitlana Vyetrenko; Tucker Balch; Toks Oyebode (WSC, 2023)

Once burned, twice shy? The effect of stock market bubbles on traders that learn by experience. - Haibei Zhu; Svitlana Vyetrenko; Kshama Dwarakanath; Tucker Balch; Serafin Grundl; David Byrd (WSC, 2023)

K-SHAP: Policy Clustering Algorithm for Anonymous State-Action Pairs. - Andrea Coletta; Svitlana Vyetrenko; Tucker Balch (CoRR, 2023)

Financial Time Series Forecasting using CNN and Transformer. - Zhen Zeng; Rachneet Kaur; Suchetha Siddagangappa; Saba Rahimi; Tucker Balch; Manuela Veloso (CoRR, 2023)

Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test. - Saba Rahimi; Tucker Balch; Manuela Veloso (CoRR, 2023)

ATMS: Algorithmic Trading-Guided Market Simulation. - Song Wei; Andrea Coletta; Svitlana Vyetrenko; Tucker Balch (CoRR, 2023)

A Model-Based Synthetic Stock Price Time Series Generation Framework. - Haibei Zhu; Svitlana Vyetrenko; Tucker Balch (CoRR, 2023)

Fair Wasserstein Coresets. - Zikai Xiong; Niccolò Dalmasso; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (CoRR, 2023)

Prime Match: A Privacy-Preserving Inventory Matching System. - Antigoni Polychroniadou; Gilad Asharov; Benjamin E. Diamond; Tucker Balch; Hans Buehler; Richard Hua; Suwen Gu; Greg Gimler; Manuela Veloso (IACR Cryptol. ePrint Arch., 2023)

Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection. - Robert E. Tillman; Tucker Balch; Manuela Veloso (Trans. Mach. Learn. Res., 2023)

An Efficient Data-Independent Priority Queue and its Application to Dark Pools. - Sahar Mazloom; Benjamin E. Diamond; Antigoni Polychroniadou; Tucker Balch (Proc. Priv. Enhancing Technol., 2023)

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. - Zikai Xiong; Niccolò Dalmasso; Alan Mishler; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (AAAI, 2024)

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. - Elizabeth Fons; Rachneet Kaur; Soham Palande; Zhen Zeng; Tucker Balch; Manuela Veloso; Svitlana Vyetrenko (EMNLP, 2024)

TADACap: Time-series Adaptive Domain-Aware Captioning. - Elizabeth Fons; Rachneet Kaur; Zhen Zeng; Soham Palande; Tucker Balch; Svitlana Vyetrenko; Manuela Veloso (ICAIF, 2024)

AI versus AI in Financial Crimes & Detection: GenAI Crime Waves to Co-Evolutionary AI. - Eren Kurshan; Dhagash Mehta; Tucker Balch (ICAIF, 2024)

AI in Investment Analysis: LLMs for Equity Stock Ratings. - Kassiani Papasotiriou; Srijan Sood; Shayleen Reynolds; Tucker Balch (ICAIF, 2024)

Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-Processing Matters. - Nancy Thomas; Saba Rahimi; Annita Vapsi; Cathy Ansell; Elizabeth Christie; Daniel Borrajo; Tucker Balch; Manuela Veloso (IGARSS, 2024)

Fair Wasserstein Coresets. - Zikai Xiong; Niccolò Dalmasso; Shubham Sharma; Freddy Lécué; Daniele Magazzeni; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (NeurIPS, 2024)

Synthetic Data Applications in Finance. - Vamsi K. Potluru; Daniel Borrajo; Andrea Coletta; Niccolò Dalmasso; Yousef El-Laham; Elizabeth Fons; Mohsen Ghassemi; Sriram Gopalakrishnan; Vikesh Gosai; Eleonora Kreacic; Ganapathy Mani; Saheed Obitayo; et al. (CoRR, 2024)

Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models. - Yinan Cheng; Chi-Hua Wang; Vamsi K. Potluru; Tucker Balch; Guang Cheng 003 (CoRR, 2024)

LLM-driven Imitation of Subrational Behavior : Illusion or Reality? - Andrea Coletta; Kshama Dwarakanath; Penghang Liu; Svitlana Vyetrenko; Tucker Balch (CoRR, 2024)

ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents. - Kshama Dwarakanath; Svitlana Vyetrenko; Peyman Tavallali; Tucker Balch (CoRR, 2024)

Six Levels of Privacy: A Framework for Financial Synthetic Data. - Tucker Balch; Vamsi K. Potluru; Deepak Paramanand; Manuela Veloso (CoRR, 2024)

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. - Elizabeth Fons; Rachneet Kaur; Soham Palande; Zhen Zeng; Svitlana Vyetrenko; Tucker Balch (CoRR, 2024)

HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. - William Watson; Nicole Cho; Tucker Balch; Manuela Veloso (CoRR, 2024)

LETS-C: Leveraging Language Embedding for Time Series Classification. - Rachneet Kaur; Zhen Zeng; Tucker Balch; Manuela Veloso (CoRR, 2024)

Empirical Equilibria in Agent-based Economic systems with Learning agents. - Kshama Dwarakanath; Svitlana Vyetrenko; Tucker Balch (CoRR, 2024)

Ensemble Methods for Sequence Classification with Hidden Markov Models. - Maxime Kawawa-Beaudan; Srijan Sood; Soham Palande; Ganapathy Mani; Tucker Balch; Manuela Veloso (CoRR, 2024)

AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI. - Eren Kurshan; Dhagash Mehta; Bayan Bruss; Tucker Balch (CoRR, 2024)

Behavioral Sequence Modeling with Ensemble Learning. - Maxime Kawawa-Beaudan; Srijan Sood; Soham Palande; Ganapathy Mani; Tucker Balch; Manuela Veloso (CoRR, 2024)

Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy. - Antigoni Polychroniadou; Gabriele Cipriani; Richard Hua; Tucker Balch (IACR Cryptol. ePrint Arch., 2024)

MicroSecAgg: Streamlined Single-Server Secure Aggregation. - Yue Guo; Antigoni Polychroniadou; Elaine Shi; David Byrd; Tucker Balch (Proc. Priv. Enhancing Technol., 2024)

Auditing and Enforcing Conditional Fairness via Optimal Transport. - Mohsen Ghassemi; Alan Mishler; Niccolò Dalmasso; Luhao Zhang; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (AAAI, 2025)

LETS-C: Leveraging Text Embedding for Time Series Classification. - Rachneet Kaur; Zhen Zeng; Tucker Balch; Manuela Veloso (ACL (1), 2025)

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. - Gaurav Verma; Rachneet Kaur; Nishan Srishankar; Zhen Zeng; Tucker Balch; Manuela Veloso (ACL (1), 2025)

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. - William Watson; Nicole Cho; Nishan Srishankar; Zhen Zeng; Lucas Cecchi; Daniel Scott; Suchetha Siddagangappa; Rachneet Kaur; Tucker Balch; Manuela Veloso (COLING (Industry), 2025)

Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. - Aras Selvi; Eleonora Kreacic; Mohsen Ghassemi; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (UAI, 2025)

Variational Neural Stochastic Differential Equations with Change Points. - Yousef El-Laham; Zhongchang Sun; Haibei Zhu; Tucker Balch; Svitlana Vyetrenko (Trans. Mach. Learn. Res., 2025)