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Tourbillon: a Physically Plausible Neural Architecture


Jul 22, 2021
Mohammadamin Tavakoli, Peter Sadowski, Pierre Baldi


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Improving Social Welfare While Preserving Autonomy via a Pareto Mediator


Jun 07, 2021
Stephen McAleer, John Lanier, Michael Dennis, Pierre Baldi, Roy Fox


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SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention


Jun 07, 2021
Alexander Shmakov, Michael James Fenton, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi

* submitted to NeurIPS 2021 

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Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity


Mar 24, 2021
Mohammadamin Tavakoli, Aaron Mood, David Van Vranken, Pierre Baldi


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XDO: A Double Oracle Algorithm for Extensive-Form Games


Mar 11, 2021
Stephen McAleer, John Lanier, Pierre Baldi, Roy Fox


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A theory of capacity and sparse neural encoding


Feb 19, 2021
Pierre Baldi, Roman Vershynin

* 31 pages 

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


Feb 08, 2021
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi


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Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks


Jan 30, 2021
Jordan Ott, David Bruyette, Cody Arbuckle, Dylan Balsz, Silke Hecht, Lisa Shubitz, Pierre Baldi


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Deep-Learning-Based Kinematic Reconstruction for DUNE


Dec 14, 2020
Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi

* NuerIPS workshop proceeding 

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Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging


Nov 10, 2020
Stephen McAleer, Alex Fast, Yuntian Xue, Magdalene Seiler, William Tang, Mihaela Balu, Pierre Baldi, Andrew W. Browne


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Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks


Nov 03, 2020
Michael James Fenton, Alexander Shmakov, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi

* 8pages, submitted to PRL 

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Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning


Jul 30, 2020
Lars Hertel, Pierre Baldi, Daniel L. Gillen


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SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness


Jun 16, 2020
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi


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Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games


Jun 15, 2020
Stephen McAleer, John Lanier, Roy Fox, Pierre Baldi

* SM and JL contributed equally 

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Sherpa: Robust Hyperparameter Optimization for Machine Learning


May 08, 2020
Lars Hertel, Julian Collado, Peter Sadowski, Jordan Ott, Pierre Baldi


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Continuous Representation of Molecules Using Graph Variational Autoencoder


Apr 17, 2020
Mohammadamin Tavakoli, Pierre Baldi


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A Fortran-Keras Deep Learning Bridge for Scientific Computing


Apr 14, 2020
Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi


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Learning in the Machine: To Share or Not to Share?


Oct 04, 2019
Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi


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Curiosity-Driven Multi-Criteria Hindsight Experience Replay


Jun 09, 2019
John B. Lanier, Stephen McAleer, Pierre Baldi

* 14 pages 

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The capacity of feedforward neural networks


Jan 02, 2019
Pierre Baldi, Roman Vershynin

* 46 pages 

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Efficient Neutrino Oscillation Parameter Inference with Gaussian Process


Nov 16, 2018
Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi


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Solving the Rubik's Cube Without Human Knowledge


May 18, 2018
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi

* First three authors contributed equally. Submitted to NIPS 2018 

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Learning in the Machine: the Symmetries of the Deep Learning Channel


Dec 22, 2017
Pierre Baldi, Peter Sadowski, Zhiqin Lu


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Learning in the Machine: Random Backpropagation and the Deep Learning Channel


Dec 22, 2017
Pierre Baldi, Peter Sadowski, Zhiqin Lu


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