Forest Agostinelli

According to our database, Forest Agostinelli authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations.

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli

CoRR, 2023

Independent Modular Networks.

Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi

CoRR, 2023

2022

CircadiOmics: circadian omic web portal.

Muntaha Samad, Forest Agostinelli, Tomoki Sato, Kohei Shimaji, Pierre Baldi

Nucleic Acids Res., 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

Proceedings of the HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction, 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

Proceedings of the HCI International 2022 - Late Breaking Posters, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SPLASH: Learnable activation functions for improving accuracy and adversarial robustness.

Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi

Neural Networks, 2021

A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks.

Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi

CoRR, 2021

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

Proceedings of the IDC '21: Interaction Design and Children, 2021

2019

Solving the Rubik's cube with deep reinforcement learning and search.

Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Pierre Baldi

Nat. Mach. Intell., 2019

Solving the Rubik's Cube with Approximate Policy Iteration.

Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi

Proceedings of the 7th International Conference on Learning Representations, 2019

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 Without Human Knowledge.

Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi

CoRR, 2018

2017

From Reinforcement Learning to Deep Reinforcement Learning: An Overview.

Forest Agostinelli, Guillaume Hocquet, Sameer Singh, Pierre Baldi

Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

2016

What time is it? Deep learning approaches for circadian rhythms.

Forest Agostinelli, Nicholas Ceglia, Babak Shahbaba, Paolo Sassone-Corsi, Pierre Baldi

Bioinform., 2016

Improving Survey Aggregation with Sparsely Represented Signals.

Tianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Learning Activation Functions to Improve Deep Neural Networks.

Forest Agostinelli, Matthew D. Hoffman, Peter J. Sadowski, Pierre Baldi

Proceedings of the 3rd International Conference on Learning Representations, 2015

2013

Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising.

Forest Agostinelli, Michael R. Anderson, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013