Joan Bruna
57 papers · 2014–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Joan Bruna?
7 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.
with Zhengdao Chen, Alberto Bietti, David Brandfonbrener
27 papers
· 2019–2026
· NeurIPS, ICLR, ICML
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A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks
JMLR 2026
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
ICLR 2025
Provable Posterior Sampling with Denoising Oracles via Tilted Transport
NeurIPS 2024
Stochastic Optimal Control Matching
NeurIPS 2024
Beyond the Edge of Stability via Two-step Gradient Updates
ICML 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
NeurIPS 2023
Depth separation beyond radial functions
JMLR 2022
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
COLT 2022
Learning single-index models with shallow neural networks
NeurIPS 2022
On feature learning in neural networks with global convergence guarantees
ICLR 2022
When does return-conditioned supervised learning work for offline reinforcement learning?
NeurIPS 2022
A Permutation-Equivariant Neural Network Architecture For Auction Design
AAAI 2021
Offline Contextual Bandits with Overparameterized Models
ICML 2021
Offline RL Without Off-Policy Evaluation
NeurIPS 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks
ICML 2021
On Graph Neural Networks versus Graph-Augmented MLPs
ICLR 2021
On the Cryptographic Hardness of Learning Single Periodic Neurons
NeurIPS 2021
On the Sample Complexity of Learning under Geometric Stability
NeurIPS 2021
A Dynamical Central Limit Theorem for Shallow Neural Networks
NeurIPS 2020
A mean-field analysis of two-player zero-sum games
NeurIPS 2020
Can Graph Neural Networks Count Substructures?
NeurIPS 2020
Extra-gradient with player sampling for faster convergence in n-player games
ICML 2020
Geometric Insights into the Convergence of Nonlinear TD Learning
ICLR 2020
Neuron birth-death dynamics accelerates gradient descent and converges asymptotically
ICML 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs
NeurIPS 2019
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes
JMLR 2019
Supervised Community Detection with Line Graph Neural Networks
ICLR 2019
8 papers whose co-authors appear nowhere else under this name
Mean-field analysis of polynomial-width two-layer neural network beyond finite time horizon
COLT 2025
Quality over Quantity in Attention Layers: When Adding More Heads Hurts
ICLR 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
ICML 2025
Cartoon Explanations of Image Classifiers
ECCV 2022
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
NeurIPS 2020
Approximating Orthogonal Matrices with Effective Givens Factorization
ICML 2019
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
NeurIPS 2019
Divide and Conquer Networks
ICLR 2018