Joan Bruna
New York University
H-index: 45
North America-United States
Top articles of Joan Bruna
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On Single-Index Models beyond Gaussian Data | Advances in Neural Information Processing Systems 37 | Joan Bruna Loucas Pillaud-Vivien Aaron Zweig | 2023/7/28 |
A neural collapse perspective on feature evolution in graph neural networks | Advances in Neural Information Processing Systems | Vignesh Kothapalli Tom Tirer Joan Bruna | 2024/2/13 |
Inverse dynamics pretraining learns good representations for multitask imitation | Advances in Neural Information Processing Systems | David Brandfonbrener Ofir Nachum Joan Bruna | 2023/12/15 |
Neural Galerkin schemes with active learning for high-dimensional evolution equations | Journal of Computational Physics | Joan Bruna Benjamin Peherstorfer Eric Vanden-Eijnden | 2024/1/1 |
The Computational Complexity of Learning Gaussian Single-Index Models | arXiv preprint arXiv:2403.05529 | Alex Damian Loucas Pillaud-Vivien Jason D Lee Joan Bruna | 2024/3/8 |
Data-driven multiscale modeling of subgrid parameterizations in climate models | arXiv preprint arXiv:2303.17496 | Karl Otness Laure Zanna Joan Bruna | 2023/3/24 |
On learning gaussian multi-index models with gradient flow | arXiv preprint arXiv:2310.19793 | Alberto Bietti Joan Bruna Loucas Pillaud-Vivien | 2023/10/30 |
Symmetric Single Index Learning | arXiv preprint arXiv:2310.02117 | Aaron Zweig Joan Bruna | 2023/10/3 |
Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation | arXiv preprint arXiv:2307.13144 | Christian Pedersen Laure Zanna Joan Bruna Pavel Perezhogin | 2023/7/24 |
Beyond the edge of stability via two-step gradient updates | Lei Chen Joan Bruna | 2023/7/3 | |
Conditionally strongly log-concave generative models | Florentin Guth Etienne Lempereur Joan Bruna Stéphane Mallat | 2023/7/3 | |
Stochastic Optimal Control Matching | arXiv preprint arXiv:2312.02027 | Carles Domingo-Enrich Jiequn Han Brandon Amos Joan Bruna Ricky TQ Chen | 2023/12/4 |
Guest editorial: Non-euclidean machine learning | IEEE Transactions on Pattern Analysis and Machine Intelligence | Stefanos Zafeiriou Michael Bronstein Taco Cohen Oriol Vinyals Le Song | 2022/1/7 |
Extended unconstrained features model for exploring deep neural collapse | Tom Tirer Joan Bruna | 2022/6/28 | |
A functional-space mean-field theory of partially-trained three-layer neural networks | arXiv preprint arXiv:2210.16286 | Zhengdao Chen Eric Vanden-Eijnden Joan Bruna | 2022/10/28 |
Neural fields as learnable kernels for 3d reconstruction | Francis Williams Zan Gojcic Sameh Khamis Denis Zorin Joan Bruna | 2022 | |
Lattice-based methods surpass sum-of-squares in clustering | Ilias Zadik Min Jae Song Alexander S Wein Joan Bruna | 2022/6/28 | |
The scattering transform | Mathematical Aspects of Deep Learning | Joan Bruna | 2022/12/22 |
Cartoon explanations of image classifiers | Stefan Kolek Duc Anh Nguyen Ron Levie Joan Bruna Gitta Kutyniok | 2022/10/23 | |
Kernel-based smoothness analysis of residual networks | Tom Tirer Joan Bruna Raja Giryes | 2022/4/30 |
Co-Authors
