Gabriele Cesa

According to our database, Gabriele Cesa authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive Sampling for Continuous Group Equivariant Neural Networks.

Berfin Inal, Gabriele Cesa

CoRR, 2024

Equivariant amortized inference of poses for cryo-EM.

Larissa de Ruijter, Gabriele Cesa

CoRR, 2024

Unequal Message Protection: One-Shot analysis via Poisson Matching Lemma.

Ashish Khisti, Arash Behboodi, Gabriele Cesa, Kumar Pratik

Proceedings of the IEEE International Symposium on Information Theory, 2024

A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs.

Lars Veefkind, Gabriele Cesa

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Algebraic Topological Networks via the Persistent Local Homology Sheaf.

Gabriele Cesa, Arash Behboodi

CoRR, 2023

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach.

Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi

CoRR, 2023

Equivariant Self-supervised Deep Pose Estimation for Cryo EM.

Gabriele Cesa, Kumar Pratik, Arash Behboodi

Proceedings of the Topological, 2023

Implicit Convolutional Kernels for Steerable CNNs.

Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Implicit Neural Convolutional Kernels for Steerable CNNs.

Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

CoRR, 2022

On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane.

Gabriele Cesa, Arash Behboodi, Taco S. Cohen, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A PAC-Bayesian Generalization Bound for Equivariant Networks.

Arash Behboodi, Gabriele Cesa, Taco S. Cohen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Program to Build E(N)-Equivariant Steerable CNNs.

Gabriele Cesa, Leon Lang, Maurice Weiler

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

A Data and Compute Efficient Design for Limited-Resources Deep Learning.

Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling

CoRR, 2020

2019

General E(2)-Equivariant Steerable CNNs.

Maurice Weiler, Gabriele Cesa

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019