Pierre Baldi

Identifiers

• name variant Pierre Baldi 0.60 · backfill

Papers (26)

1. Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games cs.LG · 2026 · author #3
2. Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics cs.LG · 2025 · author #5
3. Language Models can Solve Computer Tasks cs.CL · 2023 · author #2
4. Curiosity-Driven Multi-Criteria Hindsight Experience Replay cs.LG · 2019 · author #3
5. The capacity of feedforward neural networks cs.LG · 2019 · author #1
6. Towards Automating Precision Studies of Clone Detectors cs.SE · 2018 · author #7
7. Improved Energy Reconstruction in NOvA with Regression Convolutional Neural Networks physics.ins-det · 2018 · author #1
8. Oreo: Detection of Clones in the Twilight Zone cs.SE · 2018 · author #4
9. Solving the Rubik's Cube Without Human Knowledge cs.AI · 2018 · author #4
10. Polynomial threshold functions, hyperplane arrangements, and random tensors math.PR · 2018 · author #1
11. Learning in the Machine: the Symmetries of the Deep Learning Channel cs.NE · 2017 · author #1
12. Neural Network Gradient Hamiltonian Monte Carlo stat.CO · 2017 · author #4
13. Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning physics.ins-det · 2017 · author #5
14. Decorrelated Jet Substructure Tagging using Adversarial Neural Networks hep-ex · 2017 · author #3
15. Learning in the Machine: Random Backpropagation and the Deep Learning Channel cs.LG · 2016 · author #1
16. Jet Flavor Classification in High-Energy Physics with Deep Neural Networks hep-ex · 2016 · author #3
17. Jet Substructure Classification in High-Energy Physics with Deep Neural Networks hep-ex · 2016 · author #1
18. Parameterized Machine Learning for High-Energy Physics hep-ex · 2016 · author #1
19. Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks stat.ML · 2016 · author #7
20. A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation cs.LG · 2015 · author #1
21. Learning Activation Functions to Improve Deep Neural Networks cs.NE · 2014 · author #4
22. Enhanced Higgs to $\tau^+\tau^-$ Searches with Deep Learning hep-ph · 2014 · author #1
23. Searching for Exotic Particles in High-Energy Physics with Deep Learning hep-ph · 2014 · author #1
24. Countering Gattaca: Efficient and Secure Testing of Fully-Sequenced Human Genomes (Full Version) cs.CR · 2011 · author #1
25. Complex-Valued Autoencoders cs.NE · 2011 · author #1
26. Privacy-Enhanced Methods for Comparing Compressed DNA Sequences cs.CR · 2011 · author #3

Mentions

• 2303.17491 #2 · arxiv_oai · confidence 0.70 Pierre Baldi

Frequent Coauthors

• Peter Sadowski 11 shared papers
• Daniel Whiteson 6 shared papers
• Stephen McAleer 3 shared papers
• Zhiqin Lu 3 shared papers
• Cristina Lopes 2 shared papers
• Farima Farmahinifarahani 2 shared papers
• Forest Agostinelli 2 shared papers
• Jianming Bian 2 shared papers
• Lingge Li 2 shared papers
• Roman Vershynin 2 shared papers
• Vaibhav Saini 2 shared papers
• Yadong Lu 2 shared papers
• Alejandro Yankelevich 1 shared papers
• Alexander Shmakov 1 shared papers
• Ananya 1 shared papers
• Andreas S{\o}gaard 1 shared papers
• Andrew Holbrook 1 shared papers
• Babak Shahbaba 1 shared papers
• Balint Radics 1 shared papers
• Chase Shimmin 1 shared papers