Pierre Baldi

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 115

Top Venues

Publications

Antonios Alexos, Yu-Dai Tsai, Ian Domingo, Maryam Pishgar, Pierre Baldi
Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems. CoRR (2024)
Stephen Marcus McAleer, JB Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games. ICLR (2024)
Antonios Alexos, Pierre Baldi
FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 model. NLDL (2024)
Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion. CoRR (2024)
Pierre Baldi, Alireza Rahmansetayesh
From Local to Global Order: A Theory of Neural Synaptic Balance. CoRR (2024)
Antonios Alexos, Pierre Baldi
AttentionStitch: How Attention Solves the Speech Editing Problem. CoRR (2024)
Pierre Baldi
Deep Learning Over-Parameterization: the Shallow Fallacy. NLDL (2024)
Shahriar Hojjati Emmami, Ali Pilehvar Meibody, Lobat Tayebi, Mohammadamin Tavakoli, Pierre Baldi
Unraveling the Molecular Magic: AI Insights on the Formation of Extraordinarily Stretchable Hydrogels. CoRR (2024)
Mohammadamin Tavakoli, Ryan J. Miller, Mirana Angel, Michael A. Pfeiffer, Eugene S. Gutman, Aaron Mood, David Van Vranken, Pierre Baldi
PMechDB: A Public Database of Elementary Polar Reaction Steps. J. Chem. Inf. Model. 64 (6) (2024)
Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yin Ting T. Chiu, Alexander Shmakov, David Van Vranken
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. NeurIPS (2023)
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors. CoRR (2023)
Sungduk Yu, Walter M. 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 E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. 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 C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS (2023)
Mirana Angel, Anuj Patel, Amal Alachkar, Pierre Baldi
Clinical Knowledge and Reasoning Abilities of Large Language Models in Pharmacy: A Comparative Study on the NAPLEX Exam. SNAMS (2023)
Geunwoo Kim, Pierre Baldi, Stephen McAleer
Language Models can Solve Computer Tasks. CoRR (2023)
Mirana Angel, Anuj Patel, Haiyi Xing, Dylan Balsz, Cody L. Arbuckle, David Bruyette, Pierre Baldi
AI and Veterinary Medicine: Performance of Large Language Models on the North American Licensing Examination. SNAMS (2023)
Michael James Fenton, Alexander Shmakov, Hideki Okawa, Yuji Li, Ko-Yang Hsiao, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi
Extended Symmetry Preserving Attention Networks for LHC Analysis. CoRR (2023)
Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. NeurIPS (2023)
Antonios Alexos, Junze Liu, Akash Tiwari, Kshitij Bhardwaj, Sean Hayes, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar
Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data. CoRR (2023)
Mohammadamin Tavakoli, Yin Ting T. Chiu, Alexander Shmakov, Ann Marie Carlton, David Van Vranken, Pierre Baldi
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. CoRR (2023)
Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR (2023)
Geunwoo Kim, Pierre Baldi, Stephen McAleer
Language Models can Solve Computer Tasks. NeurIPS (2023)
Sabino Miranda, Obdulia Pichardo-Lagunas, Bella Martínez-Seis, Pierre Baldi
Evaluating the Performance of Large Language Models for Spanish Language in Undergraduate Admissions Exams. CoRR (2023)
Pierre Baldi, Roman Vershynin
The quarks of attention: Structure and capacity of neural attention building blocks. Artif. Intell. 319 (2023)
Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. CoRR (2023)
Sabino Miranda, Obdulia Pichardo-Lagunas, Bella Martínez-Seis, Pierre Baldi
Evaluating the Performance of Large Language Models for Spanish Language in Undergraduate Admissions Exams. Computación y Sistemas (CyS) 27 (4) (2023)
Alexander Shmakov, Alejandro Yankelevich, Jianming Bian, Pierre Baldi
Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers. CoRR (2023)
Mohammadamin Tavakoli, Yin Ting T. Chiu, Pierre Baldi, Ann Marie Carlton, David Van Vranken
RMechDB: A Public Database of Elementary Radical Reaction Steps. J. Chem. Inf. Model. 63 (4) (2023)
Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson
Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation. CoRR (2023)
Gregor Urban, Christophe N. Magnan, Pierre Baldi
SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarity. Bioinform. 38 (7) (2022)
Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox, Tuomas Sandholm
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games. CoRR (2022)
Siwei Chen, Gregor Urban, Pierre Baldi
Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks. J. Imaging 8 (5) (2022)
Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. CoRR (2022)
Stephen McAleer, Kevin Wang, John B. Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox
Anytime PSRO for Two-Player Zero-Sum Games. CoRR (2022)
Mohammadamin Tavakoli, Aaron Mood, David Van Vranken, Pierre Baldi
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity. J. Chem. Inf. Model. 62 (9) (2022)
John B. Lanier, Stephen McAleer, Pierre Baldi, Roy Fox
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments. CoRR (2022)
Pierre Baldi
Call for a Public Open Database of All Chemical Reactions. J. Chem. Inf. Model. 62 (9) (2022)
Muntaha Samad, Forest Agostinelli, Tomoki Sato, Kohei Shimaji, Pierre Baldi
CircadiOmics: circadian omic web portal. Nucleic Acids Res. 50 (W1) (2022)
Alexander Shmakov, Mohammadamin Tavakoli, Pierre Baldi, Christopher M. Karwin, Alex Broughton, Simona Murgia
Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission. CoRR (2022)
Lars Hertel, Pierre Baldi, Daniel L. Gillen
Reproducible Hyperparameter Optimization. J. Comput. Graph. Stat. 31 (1) (2022)
Pierre Baldi, Roman Vershynin
The Quarks of Attention. CoRR (2022)
Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation. CoRR (2022)
Mohammadamin Tavakoli, Peter J. Sadowski, Pierre Baldi
Tourbillon: a Physically Plausible Neural Architecture. CoRR (2021)
Jordan Ott, David Bruyette, Cody L. Arbuckle, Dylan Balsz, Silke Hecht, Lisa Shubitz, Pierre Baldi
Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks. CoRR (2021)
Christine K. Lee, Muntaha Samad, Ira Hofer, Maxime Cannesson, Pierre Baldi
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality. npj Digit. Medicine 4 (2021)
Mohammadamin Tavakoli, Aaron Mood, David Van Vranken, Pierre Baldi
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity. CoRR (2021)
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. CoRR (2021)
Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator. CoRR (2021)
Pietro Di Lena, Pierre Baldi
Fold recognition by scoring protein maps using the congruence coefficient. Bioinform. 37 (4) (2021)
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
SPLASH: Learnable activation functions for improving accuracy and adversarial robustness. Neural Networks 140 (2021)
Farima Farmahinifarahani, Yadong Lu, Vaibhav Saini, Pierre Baldi, Cristina V. Lopes
D-REX: Static Detection of Relevant Runtime Exceptions with Location Aware Transformer. SCAM (2021)
Alexander Shmakov, Michael James Fenton, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention. CoRR (2021)
Pierre Baldi, Roman Vershynin
A theory of capacity and sparse neural encoding. Neural Networks 143 (2021)
Stephen McAleer, John B. Lanier, Pierre Baldi, Roy Fox
XDO: A Double Oracle Algorithm for Extensive-Form Games. CoRR (2021)
Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter
Deep Bucket Elimination. IJCAI (2021)
Pierre Baldi, Roman Vershynin
A theory of capacity and sparse neural encoding. CoRR (2021)
Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox
XDO: A Double Oracle Algorithm for Extensive-Form Games. NeurIPS (2021)
Michael James Fenton, Alexander Shmakov, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks. CoRR (2020)
Lars Hertel, Pierre Baldi, Daniel L. Gillen
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning. CoRR (2020)
Mohammadamin Tavakoli, Pierre Baldi
Continuous Representation of Molecules Using Graph Variational Autoencoder. CoRR (2020)
Stephen McAleer, Alex Fast, Yuntian Xue, Magdalene Seiler, William Tang, Mihaela Balu, Pierre Baldi, Andrew W. Browne
Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging. CoRR (2020)
Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. CoRR (2020)
Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. NeurIPS (2020)
Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
Learning in the machine: To share or not to share? Neural Networks 126 (2020)
Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness. CoRR (2020)
Stephen McAleer, John B. Lanier, Roy Fox, Pierre Baldi
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games. CoRR (2020)
Mohammadamin Tavakoli, Pierre Baldi
Continuous Representation of Molecules using Graph Variational Autoencoder. AAAI Spring Symposium: MLPS (2020)
Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi
Sherpa: Robust hyperparameter optimization for machine learning. SoftwareX 12 (2020)
Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. Sci. Program. 2020 (2020)
Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi
Sherpa: Robust Hyperparameter Optimization for Machine Learning. CoRR (2020)
Ira Hofer, Christine K. Lee, Eilon Gabel, Pierre Baldi, Maxime Cannesson
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set. npj Digit. Medicine 3 (2020)
Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi
Deep-Learning-Based Kinematic Reconstruction for DUNE. CoRR (2020)
John B. Lanier, Stephen McAleer, Pierre Baldi
Curiosity-Driven Multi-Criteria Hindsight Experience Replay. CoRR (2019)
Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
Solving the Rubik's Cube with Approximate Policy Iteration. ICLR (Poster) (2019)
Lingge Li, Andrew Holbrook, Babak Shahbaba, Pierre Baldi
Neural network gradient Hamiltonian Monte Carlo. Comput. Stat. 34 (1) (2019)
Pierre Baldi, Roman Vershynin
The capacity of feedforward neural networks. Neural Networks 116 (2019)
Gregor Urban, Kevin Bache, Duc T. T. Phan, Agua Sobrino, Alexander Shmakov, Stephanie J. Hachey, Christopher C. W. Hughes, Pierre Baldi
Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Alexander Shmakov, John B. Lanier, Stephen McAleer, Rohan Achar, Cristina V. Lopes, Pierre Baldi
ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games. CoRR (2019)
Pierre Baldi, Roman Vershynin
The capacity of feedforward neural networks. CoRR (2019)
Pierre Baldi, Peter J. Sadowski, Zhiqin Lu
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract). IJCAI (2019)
Siyu Shao, Stephen McAleer, Ruqiang Yan, Pierre Baldi
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning. IEEE Trans. Ind. Informatics 15 (4) (2019)
Pierre Baldi, Roman Vershynin
Polynomial Threshold Functions, Hyperplane Arrangements, and Random Tensors. SIAM J. Math. Data Sci. 1 (4) (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)
Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
Learning in the Machine: To Share or Not to Share? CoRR (2019)
Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process. AAAI (2019)
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu, Di Yang, Pedro Martins, Hitesh Sajnani, Pierre Baldi, Cristina V. Lopes
Towards automating precision studies of clone detectors. ICSE (2019)
Lingge Li, Dustin S. Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes. NeurIPS (2019)
Gregor Urban, Niranjan Subrahmanya, Pierre Baldi
Inner and Outer Recursive Neural Networks for Chemoinformatics Applications. J. Chem. Inf. Model. 58 (2) (2018)
Pierre Baldi, Peter J. Sadowski, Zhiqin Lu
Learning in the machine: Random backpropagation and the deep learning channel. Artif. Intell. 260 (2018)
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu, Di Yang, Pedro Martins, Hitesh Sajnani, Pierre Baldi, Cristina V. Lopes
Towards Automating Precision Studies of Clone Detectors. CoRR (2018)
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu, Pierre Baldi, Cristina V. Lopes
Oreo: detection of clones in the twilight zone. ESEC/SIGSOFT FSE (2018)
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu, Pierre Baldi, Cristina V. Lopes
Oreo: Detection of Clones in the Twilight Zone. CoRR (2018)
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)
Pierre Baldi
The inner and outer approaches to the design of recursive neural architectures. Data Min. Knowl. Discov. 32 (1) (2018)
Clara H. Eng, Tyler W. H. Backman, Constance B. Bailey, Christophe N. Magnan, Héctor García Martín, Leonard Katz, Pierre Baldi, Jay D. Keasling
ClusterCAD: a computational platform for type I modular polyketide synthase design. Nucleic Acids Res. 46 (Database-Issue) (2018)
Pierre Baldi, Peter J. Sadowski
Learning in the machine: Recirculation is random backpropagation. Neural Networks 108 (2018)
Pierre Baldi, Roman Vershynin
On Neuronal Capacity. NeurIPS (2018)
Juan Wang, Zhiyuan Fang, Ning Lang, Huishu Yuan, Min-Ying Su, Pierre Baldi
A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks. Comput. Biol. Medicine 84 (2017)
Peter J. Sadowski, Pierre Baldi
Deep Learning in the Natural Sciences: Applications to Physics. Braverman Readings in Machine Learning (2017)
Pierre Baldi, Peter J. Sadowski, Zhiqin Lu
Learning in the Machine: the Symmetries of the Deep Learning Channel. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pierre Baldi