Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising. - Forest Agostinelli; Michael R. Anderson; Honglak Lee (NIPS, 2013)

Learning Activation Functions to Improve Deep Neural Networks. - Forest Agostinelli; Matthew D. Hoffman; Peter J. Sadowski; Pierre Baldi (ICLR (Workshop), 2015)

Improving Survey Aggregation with Sparsely Represented Signals. - Tianlin Shi; Forest Agostinelli; Matthew Staib; David P. Wipf; Thomas Moscibroda (KDD, 2016)

What time is it? Deep learning approaches for circadian rhythms. - Forest Agostinelli; Nicholas Ceglia; Babak Shahbaba; Paolo Sassone-Corsi; Pierre Baldi (Bioinform., 2016)

From Reinforcement Learning to Deep Reinforcement Learning: An Overview. - Forest Agostinelli; Guillaume Hocquet; Sameer Singh 001; Pierre Baldi (Braverman Readings in Machine Learning, 2017)

Solving the Rubik's Cube Without Human Knowledge. - Stephen McAleer; Forest Agostinelli; Alexander Shmakov; Pierre Baldi (CoRR, 2018)

CircadiOmics: circadian omic web portal. - Nicholas Ceglia; Yu Liu; Siwei Chen; Forest Agostinelli; Kristin Eckel-Mahan; Paolo Sassone-Corsi; Pierre Baldi (Nucleic Acids Res., 2018)

Solving the Rubik's Cube with Approximate Policy Iteration. - Stephen McAleer; Forest Agostinelli; Alexander Shmakov; Pierre Baldi (ICLR (Poster), 2019)

Solving the Rubik's cube with deep reinforcement learning and search. - Forest Agostinelli; Stephen McAleer; Alexander Shmakov; Pierre Baldi (Nat. Mach. Intell., 2019)

Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube. - Forest Agostinelli; Mihir Mavalankar; Vedant Khandelwal; Hengtao Tang; Dezhi Wu; Barnett Berry; Biplav Srivastava; Amit P. Sheth; Matthew Irvin (IDC, 2021)

A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. - Forest Agostinelli; Alexander Shmakov; Stephen McAleer; Roy Fox; Pierre Baldi (CoRR, 2021)

SPLASH: Learnable activation functions for improving accuracy and adversarial robustness. - Mohammadamin Tavakoli; Forest Agostinelli; Pierre Baldi (Neural Networks, 2021)

ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. - Kausik Lakkaraju; Thahimum Hassan; Vedant Khandelwal; Prathamjeet Singh; Cassidy Bradley; Ronak Shah; Forest Agostinelli; Biplav Srivastava; Dezhi Wu (AAAI, 2022)

Explainable Artificial Intelligence (XAI) User Interface Design for Solving a Rubik's Cube. - Cassidy Bradley; Dezhi Wu; Hengtao Tang; Ishu Singh; Katelyn Wydant; Brittany Capps; Karen Wong; Forest Agostinelli; Matthew Irvin; Biplav Srivastava (HCI (49), 2022)

AI-Driven User Interface Design for Solving a Rubik's Cube: A Scaffolding Design Perspective. - Dezhi Wu; Hengtao Tang; Cassidy Bradley; Brittany Capps; Prathamjeet Singh; Katelyn Wyandt; Karen Wong; Matthew Irvin; Forest Agostinelli; Biplav Srivastava (HCI (41), 2022)

CircadiOmics: circadian omic web portal. - Muntaha Samad; Forest Agostinelli; Tomoki Sato; Kohei Shimaji; Pierre Baldi (Nucleic Acids Res., 2022)

Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. - Babak Shahbaba; Lingge Li; Forest Agostinelli; Mansi Saraf; Keiland W. Cooper; Derenik Haghverdian; Gabriel A. Elias; Pierre Baldi; Norbert J. Fortin (Zenodo, 2022)

Independent Modular Networks. - Hamed Damirchi; Forest Agostinelli; Pooyan Jamshidi (CoRR, 2023)

On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations. - Bharath Muppasani; Vishal Pallagani; Biplav Srivastava; Forest Agostinelli (CoRR, 2023)

Specifying Goals to Deep Neural Networks with Answer Set Programming. - Forest Agostinelli; Rojina Panta; Vedant Khandelwal (ICAPS, 2024)

Learning Discrete World Models for Heuristic Search. - Forest Agostinelli; Misagh Soltani (RLJ, 2024)

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube. - Kausik Lakkaraju; Vedant Khandelwal; Biplav Srivastava; Forest Agostinelli; Hengtao Tang; Prathamjeet Singh; Dezhi Wu; Matthew Irvin; Ashish Kundu (CoRR, 2024)

Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems. - Vedant Khandelwal; Amit P. Sheth; Forest Agostinelli (CoRR, 2024)

PDDLFuse: A Tool for Generating Diverse Planning Domains. - Vedant Khandelwal; Amit P. Sheth; Forest Agostinelli (CoRR, 2024)

Designing XAI Chatbots to Enhance Self-Efficacy in Youth in Pathfinding Problem Domains. - Valerie Lookingbill; Jonathan Fu; Matthew Irvin; Dezhi Wu; Forest Agostinelli (IDC, 2025)