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Gabriele Cesa
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2020 – today
- 2024
- [c8]Lars Veefkind, Gabriele Cesa:
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs. ICML 2024 - [c7]Ashish Khisti, Arash Behboodi, Gabriele Cesa, Kumar Pratik:
Unequal Message Protection: One-Shot analysis via Poisson Matching Lemma. ISIT 2024: 629-634 - [i9]Larissa de Ruijter, Gabriele Cesa:
Equivariant amortized inference of poses for cryo-EM. CoRR abs/2406.01630 (2024) - [i8]Lars Veefkind, Gabriele Cesa:
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs. CoRR abs/2406.03946 (2024) - [i7]Berfin Inal, Gabriele Cesa:
Adaptive Sampling for Continuous Group Equivariant Neural Networks. CoRR abs/2409.08741 (2024) - 2023
- [c6]Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa:
Implicit Convolutional Kernels for Steerable CNNs. NeurIPS 2023 - [c5]Gabriele Cesa, Kumar Pratik, Arash Behboodi:
Equivariant Self-supervised Deep Pose Estimation for Cryo EM. TAG-ML 2023: 21-36 - [i6]Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi:
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach. CoRR abs/2311.08170 (2023) - [i5]Gabriele Cesa, Arash Behboodi:
Algebraic Topological Networks via the Persistent Local Homology Sheaf. CoRR abs/2311.10156 (2023) - 2022
- [c4]Gabriele Cesa, Leon Lang, Maurice Weiler:
A Program to Build E(N)-Equivariant Steerable CNNs. ICLR 2022 - [c3]Arash Behboodi, Gabriele Cesa, Taco S. Cohen:
A PAC-Bayesian Generalization Bound for Equivariant Networks. NeurIPS 2022 - [c2]Gabriele Cesa, Arash Behboodi, Taco S. Cohen, Max Welling:
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane. NeurIPS 2022 - [i4]Arash Behboodi, Gabriele Cesa, Taco Cohen:
A PAC-Bayesian Generalization Bound for Equivariant Networks. CoRR abs/2210.13150 (2022) - [i3]Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa:
Implicit Neural Convolutional Kernels for Steerable CNNs. CoRR abs/2212.06096 (2022) - 2020
- [i2]Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling:
A Data and Compute Efficient Design for Limited-Resources Deep Learning. CoRR abs/2004.09691 (2020)
2010 – 2019
- 2019
- [c1]Maurice Weiler, Gabriele Cesa:
General E(2)-Equivariant Steerable CNNs. NeurIPS 2019: 14334-14345 - [i1]Maurice Weiler, Gabriele Cesa:
General E(2)-Equivariant Steerable CNNs. CoRR abs/1911.08251 (2019)
Coauthor Index
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