Pierre Baldi
22 papers · 2003–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (54) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Trendsetter Combo
(5)
π₯
Mega-Team Β· Legion
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Topic Evolution
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Keyword Pioneer
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Keyword Collector
(135)
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(12)
Deep Learning
(10)
Core AI
(9)
Optimization & Theory Β· Machine Learning
(8)
Core Methods
(7)
Learning Types Β· Machine Learning
(6)
Architectures
(5)
Learning Types Β· Deep Learning
(5)
Reinforcement Learning
(4)
Application Areas
(4)
Optimization & Theory Β· Deep Learning
(4)
Applications
(3)
Bayesian & Probabilistic
(3)
Healthcare & Medicine
(2)
Keywords
neural network
(5)
deep learning
(4)
nash equilibrium
(2)
high energy physics
(2)
game theory
(2)
neural network training
(2)
deep neural network
(2)
reinforcement learning
(2)
stochastic gradient descent
(2)
high-resolution simulation
(2)
gaussian process
(2)
time series
(2)
double oracle
(2)
parameter estimation
(1)
probabilistic inference
(1)
bayesian inference
(1)
feature learning
(1)
contrastive learning
(1)
convex optimization
(1)
convergence analysis
(1)
Papers
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
JMLR 2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
AAAI 2025
Memorization: A Close Look at Books
ACL 2025
Realizable Continuous-Space Shields for Safe Reinforcement Learning
L4DC 2025
Nuclear Fusion Diamond Polishing Dataset
NeurIPS 2024
Selective Perception: Learning Concise State Descriptions for Language Model Actors
NAACL 2024
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
ICLR 2024
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
NeurIPS 2023
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
NeurIPS 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
NeurIPS 2023
Language Models can Solve Computer Tasks
NeurIPS 2023
Deep Bucket Elimination
IJCAI 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
NeurIPS 2021
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
NeurIPS 2020
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
AAAI 2019
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)
IJCAI 2019
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
NeurIPS 2019
Solving the Rubik's Cube with Approximate Policy Iteration
ICLR 2019
On Neuronal Capacity
NeurIPS 2018
Searching for Higgs Boson Decay Modes with Deep Learning
NeurIPS 2014
Understanding Dropout
NeurIPS 2013
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem
JMLR 2003