Gabriele Cesa

According to our database1, Gabriele Cesa authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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5
6
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3
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing.
CoRR, 2024

Adaptive Sampling for Continuous Group Equivariant Neural Networks.
CoRR, 2024

Equivariant amortized inference of poses for cryo-EM.
CoRR, 2024

Unequal Message Protection: One-Shot analysis via Poisson Matching Lemma.
Proceedings of the IEEE International Symposium on Information Theory, 2024

A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Algebraic Topological Networks via the Persistent Local Homology Sheaf.
CoRR, 2023

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach.
CoRR, 2023

Equivariant Self-supervised Deep Pose Estimation for Cryo EM.
Proceedings of the Topological, 2023

Implicit Convolutional Kernels for Steerable CNNs.
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.
CoRR, 2022

On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane.
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.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning.
CoRR, 2020

2019
General E(2)-Equivariant Steerable CNNs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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