ML Anthology

Baldi, Pierre

46 publications

JMLR 2025 ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius J. M. Busecke, Nora Loose, Charles I Stern, Tom Beucler, Bryce Harrop, Helge Heuer, Benjamin R Hillman, Andrea Jenney, Nana Liu, Alistair White, Tian Zheng, Zhiming Kuang, Fiaz Ahmed, Elizabeth Barnes, Noah D. Brenowitz, Christopher Bretherton, Veronika Eyring, Savannah Ferretti, Nicholas Lutsko, Pierre Gentine, Stephan Mandt, J. David Neelin, Rose Yu, Laure Zanna, Nathan M. Urban, Janni Yuval, Ryan Abernathey, Pierre Baldi, Wayne Chuang, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Po-Lun Ma, Sara Shamekh, Guang Zhang, Michael Pritchard
AAAI 2025 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance Antonios Alexos, Ian Domingo, Pierre Baldi
L4DC 2025 Realizable Continuous-Space Shields for Safe Reinforcement Learning Kyungmin Kim, Davide Corsi, Andoni Rodrı́guez, Jb Lanier, Benjami Parellada, Pierre Baldi, César Sánchez, Roy Fox
NeurIPSW 2024 Circular Learning Provides Biological Plausibility Mohammadamin Tavakoli, Ian Domingo, Pierre Baldi
NeurIPSW 2024 Cold Posterior Effect Towards Adversarial Robustness Bruce Rushing, Antonios Alexos, Harrison Espino, Nicholas Cohen, Pierre Baldi
NeurIPSW 2024 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance Antonios Alexos, Ian Domingo, Pierre Baldi
NeurIPSW 2024 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance Antonios Alexos, Ian Domingo, Pierre Baldi
NeurIPSW 2024 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance Antonios Alexos, Ian Domingo, Pierre Baldi
NeurIPSW 2024 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance Antonios Alexos, Ian Domingo, Pierre Baldi
NeurIPS 2024 Nuclear Fusion Diamond Polishing Dataset Antonios Alexos, Junze Liu, Shashank Galla, Sean Hayes, Kshitij Bhardwaj, Alexander Schwartz, Monika Biener, Pierre Baldi, Satish Bukkapatnam, Suhas Bhandarkar
ICLR 2024 Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games Stephen Marcus McAleer, Jb Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox
NeurIPS 2023 AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yin Ting Chiu, Alexander Shmakov, David Van Vranken
NeurIPS 2023 ClimSim: A Large Multi-Scale Dataset for Hybrid Physics-ML Climate Emulation Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce Harrop, Benjamin Hillman, Andrea Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Mike Pritchard
NeurIPS 2023 End-to-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov, Kevin Greif, Michael Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
NeurIPS 2023 Language Models Can Solve Computer Tasks Geunwoo Kim, Pierre Baldi, Stephen McAleer
NeurIPSW 2023 Selective Perception: Learning Concise State Descriptions for Language Model Actors Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, Jb Lanier, Pierre Baldi, Roy Fox, Sameer Singh
NeurIPSW 2022 Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments John Banister Lanier, Stephen Marcus McAleer, Pierre Baldi, Roy Fox
NeurIPSW 2022 Foundations of Attention Mechanisms in Deep Neural Network Architectures Pierre Baldi, Roman Vershynin
IJCAI 2021 Deep Bucket Elimination Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter
NeurIPS 2021 XDO: A Double Oracle Algorithm for Extensive-Form Games Stephen McAleer, Jb Lanier, Kevin A Wang, Pierre Baldi, Roy Fox
NeurIPS 2020 Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games Stephen Mcaleer, Jb Lanier, Roy Fox, Pierre Baldi
AAAI 2019 Efficient Neutrino Oscillation Parameter Inference with Gaussian Process Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi
IJCAI 2019 Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract) Pierre Baldi, Peter J. Sadowski, Zhiqin Lu
NeurIPS 2019 Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes Lingge Li, Dustin Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi
ICLR 2019 Solving the Rubik's Cube with Approximate Policy Iteration Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
NeurIPS 2018 On Neuronal Capacity Pierre Baldi, Roman Vershynin
ICLR 2015 Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli, Matthew D. Hoffman, Peter J. Sadowski, Pierre Baldi
NeurIPS 2014 Searching for Higgs Boson Decay Modes with Deep Learning Peter J Sadowski, Daniel Whiteson, Pierre Baldi
NeurIPS 2013 Understanding Dropout Pierre Baldi, Peter J Sadowski
CVPR 2005 A Principled Approach to Detecting Surprising Events in Video Laurent Itti, Pierre Baldi
JMLR 2003 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem Pierre Baldi, Gianluca Pollastri
NeurIPS 2002 Prediction of Protein Topologies Using Generalized IOHMMs and RNNs Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi
NeCo 1996 Hybrid Modeling, HMM/NN Architectures, and Protein Applications Pierre Baldi, Yves Chauvin
NeurIPS 1995 Universal Approximation and Learning of Trajectories Using Oscillators Pierre Baldi, Kurt Hornik
NeurIPS 1994 Inferring Ground Truth from Subjective Labelling of Venus Images Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi
NeCo 1994 Smooth On-Line Learning Algorithms for Hidden Markov Models Pierre Baldi, Yves Chauvin
NeurIPS 1993 Hidden Markov Models for Human Genes Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh
NeCo 1993 Neural Networks for Fingerprint Recognition Pierre Baldi, Yves Chauvin
NeurIPS 1992 Hidden Markov Models in Molecular Biology: New Algorithms and Applications Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure
NeCo 1991 Contrastive Learning and Neural Oscillations Pierre Baldi, Fernando J. Pineda
NeCo 1991 Temporal Evolution of Generalization During Learning in Linear Networks Pierre Baldi, Yves Chauvin
NeurIPS 1990 Computing with Arrays of Bell-Shaped and Sigmoid Functions Pierre Baldi
NeCo 1990 Computing with Arrays of Coupled Oscillators: An Application to Preattentive Texture Discrimination Pierre Baldi, Ronny Meir
NeurIPS 1989 On the Distribution of the Number of Local Minima of a Random Function on a Graph Pierre Baldi, Yosef Rinott, Charles Stein
NeurIPS 1988 Linear Learning: Landscapes and Algorithms Pierre Baldi
NeurIPS 1987 On Properties of Networks of Neuron-like Elements Pierre Baldi, Santosh S. Venkatesh