Patrick Forré
24 papers · 2019–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 17% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Patrick Forré?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
9 papers whose co-authors appear nowhere else under this name
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
ICML 2025
Early-Exit Neural Networks with Nested Prediction Sets
UAI 2024
Lie Group Decompositions for Equivariant Neural Networks
ICLR 2024
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
NeurIPS 2023
Equivariance-aware Architectural Optimization of Neural Networks
ICLR 2023
Multi-objective optimization via equivariant deep hypervolume approximation
ICLR 2023
Selecting Data Augmentation for Simulating Interventions
ICML 2021
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
UAI 2019
Reparameterizing Distributions on Lie Groups
AISTATS 2019