Forest Agostinelli - Publications

Forest Agostinelli Research University of South Carolina Explainability

Specifying Goals to Deep Neural Networks with Answer Set Programming

Forest Agostinelli, Rojina Panta, Vedant Khandelwal
International Conference on Automated Planning and Scheduling (ICAPS), 2024
PDF - Code - Slides - Poster

Forest Agostinelli Research University of South Carolina World Models

Learning Discrete World Models for Heuristic Search

Forest Agostinelli, Misagh Soltani
Reinforcement Learning Conference (RLC), 2024
PDF - Code - Slides - Poster

Forest Agostinelli Research UCI Rubik's Cube

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
Nature Communications, 2022
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Forest Agostinelli Research South Carolina Rubik's Cube

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 - Demonstration Track, 2022
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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 Sheth, Matthew Irvin
Interaction Design and Children, 2021
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Forest Agostinelli Research University of South Carolina SPLASH

Splash: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness

Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
Neural Networks, 2021
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Solving the Rubik's Cube with Deep Reinforcement Learning and Search

Forest Agostinelli*, Stephen McAleer*, Alexander Shmakov*, Pierre Baldi
Nature Machine Intelligence, 2019
PDF - Code (Latest) - Code (Original) - Webserver

Solving the Rubik's Cube with Approximate Policy Iteration

Stephen McAleer*, Forest Agostinelli*, Alexander Shmakov*, Pierre Baldi
International Conference on Learning Representations (ICLR), 2019
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Forest Agostinelli Research UCI Circadiomics

CircadiOmics: Circadian omic Web Portal

Nicholas Ceglia, Yu Liu, Siwei Chen, Forest Agostinelli, Kristin Eckel-Mahan, Paolo Sassone-Corsi, Pierre Baldi
Nucleic Acids Research, 2018
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Forest Agostinelli Research UCI Reinforcement Learning

From Reinforcement Learning to Deep Reinforcement Learning: An Overview

Forest Agostinelli, Guillaume Hocquet, Sameer Singh, Pierre Baldi
Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2018
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Forest Agostinelli Research UCI Circadian Rhythms

What Time is It? Deep Learning Approaches for Circadian Rhythms

Forest Agostinelli, Nicholas Ceglia, Pierre Baldi
Bioinformatics (Selected for oral presentation at the Intelligent Systems for Molecular Biology (ISMB) 2016 conference) , 2016
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Forest Agostinelli Research UCI Survey Aggregation

Improving Survey Aggregation with Sparsely Represented Signals

Tianlin Shi*, Forest Agostinelli*, Matthew Staib, David Wipf, Thomas Moscibroda
SIGKDD Conference on Knowledge Discovery and Data Mining, 2016
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Forest Agostinelli Research UCI Activation Functions

Learning Activation Functions to Improve Deep Neural Networks

Forest Agostinelli, Matthew Hoffman, Peter Sadowski, Pierre Baldi
International Conference on Learning Representations (ICLR) Workshop, 2015
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Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising

Forest Agostinelli, Michael R Anderson, Honglak Lee
Neural Information Processing Systems (NeurIPS), 2013
PDF - Code/Website

Selected Publications. The full list is shown on Google Scholar.