Pierre Baldi
22 papers · 2003–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (8)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(9)
π
Conference Polyglot
(8)
π
Keyword Trendsetter Combo
(5)
π₯
Mega-Team
(56)
π±
Topic Pioneer
π
Century Club
(22)
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Trend Setter
ποΈ
Keyword Collector
(120)
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Conference Pioneer
Conferences
NIPS (11)
AAAI (2)
ICLR (2)
IJCAI (2)
JMLR (2)
ACL (1)
L4DC (1)
NAACL (1)
Top co-authors
Research topics
Keywords
neural network
(4)
deep learning
(4)
game theory
(2)
stochastic gradient descent
(2)
gaussian process
(2)
neural network training
(2)
time series
(2)
high-resolution simulation
(2)
probabilistic inference
(1)
feature learning
(1)
contrastive learning
(1)
bayesian inference
(1)
convex optimization
(1)
parameter estimation
(1)
classification
(1)
convergence analysis
(1)
prompt engineering
(1)
domain adaptation
(1)
brain connectivity
(1)
feature selection
(1)
Papers
Realizable Continuous-Space Shields for Safe Reinforcement Learning
L4DC 2025
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
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
Nuclear Fusion Diamond Polishing Dataset
NIPS 2024
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
NIPS 2023
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
NIPS 2023
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
NIPS 2023
Language Models can Solve Computer Tasks
NIPS 2023
Deep Bucket Elimination
IJCAI 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
NIPS 2021
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
NIPS 2020
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
AAAI 2019
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
NIPS 2019
Solving the Rubik's Cube with Approximate Policy Iteration
ICLR 2019
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)
IJCAI 2019
On Neuronal Capacity
NIPS 2018
Searching for Higgs Boson Decay Modes with Deep Learning
NIPS 2014
Understanding Dropout
NIPS 2013
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem
JMLR 2003