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)

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)

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

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

Using Both Latent and Supervised Shared Topics for Multitask Learning. - Ayan Acharya; Aditya Rawal; Raymond J. Mooney; Eduardo R. Hruschka (ECML/PKDD (2), 2013)

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

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

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

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)

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

Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. - Thomas Miconi; Aditya Rawal; Jeff Clune; Kenneth O. Stanley (ICLR (Poster), 2019)

First-Order Preconditioning via Hypergradient Descent. - Ted Moskovitz; Rui Wang 052; Janice Lan; Sanyam Kapoor; Thomas Miconi; Jason Yosinski; Aditya Rawal (CoRR, 2019)

Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. - Rui Wang 052; Joel Lehman; Aditya Rawal; Jiale Zhi; Yulun Li; Jeffrey Clune; Kenneth O. Stanley (ICML, 2020)

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. - Felipe Petroski Such; Aditya Rawal; Joel Lehman; Kenneth O. Stanley; Jeffrey Clune (ICML, 2020)

Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. - Aditya Rawal; Joel Lehman; Felipe Petroski Such; Jeff Clune; Kenneth O. Stanley (CoRR, 2020)

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

Continual Learning with Transformers for Image Classification. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Aditya Rawal; Cédric Archambeau (CVPR Workshops, 2022)

Memory Efficient Continual Learning with Transformers. - Beyza Ermis; Giovanni Zappella; Martin Wistuba; Aditya Rawal; Cédric Archambeau (NeurIPS, 2022)

Extreme Miscalibration and the Illusion of Adversarial Robustness. - Vyas Raina; Samson Tan; Volkan Cevher; Aditya Rawal; Sheng Zha; George Karypis (ACL (1), 2024)

DEM: Distribution Edited Model for Training with Mixed Data Distributions. - Dhananjay Ram; Aditya Rawal; Momchil Hardalov; Nikolaos Pappas 002; Sheng Zha (EMNLP, 2024)

Sequence-level Large Language Model Training with Contrastive Preference Optimization. - Zhili Feng; Dhananjay Ram; Cole Hawkins; Aditya Rawal; Jinman Zhao; Sheng Zha (NAACL (Findings), 2025)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)