Forest Agostinelli

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Draw Conclusions

Interface Design

Reinforcement Learning

Top Venues

Nucleic Acids Res.

Publications

Vedant Khandelwal, Amit P. Sheth, Forest Agostinelli
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems. CoRR (2024)
Forest Agostinelli, Rojina Panta, Vedant Khandelwal
Specifying Goals to Deep Neural Networks with Answer Set Programming. ICAPS (2024)
Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matthew Irvin, Ashish Kundu
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube. CoRR (2024)
Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi
Independent Modular Networks. CoRR (2023)
Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli
On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations. CoRR (2023)
Dezhi Wu, Hengtao Tang, Cassidy Bradley, Brittany Capps, Prathamjeet Singh, Katelyn Wyandt, Karen Wong, Matthew Irvin, Forest Agostinelli, Biplav Srivastava
AI-Driven User Interface Design for Solving a Rubik's Cube: A Scaffolding Design Perspective. HCI (41) (2022)
Muntaha Samad, Forest Agostinelli, Tomoki Sato, Kohei Shimaji, Pierre Baldi
CircadiOmics: circadian omic web portal. Nucleic Acids Res. 50 (W1) (2022)
Cassidy Bradley, Dezhi Wu, Hengtao Tang, Ishu Singh, Katelyn Wydant, Brittany Capps, Karen Wong, Forest Agostinelli, Matthew Irvin, Biplav Srivastava
Explainable Artificial Intelligence (XAI) User Interface Design for Solving a Rubik's Cube. HCI (49) (2022)
Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu
ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. AAAI (2022)
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. CoRR (2021)
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
SPLASH: Learnable activation functions for improving accuracy and adversarial robustness. Neural Networks 140 (2021)
Forest Agostinelli, Mihir Mavalankar, Vedant Khandelwal, Hengtao Tang, Dezhi Wu, Barnett Berry, Biplav Srivastava, Amit P. Sheth, Matthew Irvin
Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube. IDC (2021)
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness. CoRR (2020)
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
Solving the Rubik's Cube with Approximate Policy Iteration. ICLR (Poster) (2019)
Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Pierre Baldi
Solving the Rubik's cube with deep reinforcement learning and search. Nat. Mach. Intell. 1 (8) (2019)
Nicholas Ceglia, Yu Liu, Siwei Chen, Forest Agostinelli, Kristin Eckel-Mahan, Paolo Sassone-Corsi, Pierre Baldi
CircadiOmics: circadian omic web portal. Nucleic Acids Res. 46 (Webserver-Issue) (2018)
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
Solving the Rubik's Cube Without Human Knowledge. CoRR (2018)
Forest Agostinelli, Guillaume Hocquet, Sameer Singh, Pierre Baldi
From Reinforcement Learning to Deep Reinforcement Learning: An Overview. Braverman Readings in Machine Learning (2017)
Tianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda
Improving Survey Aggregation with Sparsely Represented Signals. KDD (2016)
Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
What time is it? Deep learning approaches for circadian rhythms. Bioinform. 32 (19) (2016)
Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi
What time is it? Deep learning approaches for circadian rhythms. Bioinform. 32 (12) (2016)
Forest Agostinelli, Matthew D. Hoffman, Peter J. Sadowski, Pierre Baldi
Learning Activation Functions to Improve Deep Neural Networks. ICLR (Workshop) (2015)
Forest Agostinelli, Michael R. Anderson, Honglak Lee
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising. NIPS (2013)