Gabriele Cesa

According to our database, Gabriele Cesa authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation.

Gabriele Cesa, Thomas M. Hehn, Aleix Torres-Camps, Alex Batlle Casellas, Jordi Ros-Giralt, Arash Behboodi, Tribhuvanesh Orekondy

CoRR, May, 2026

2025

A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems.

Rob Romijnders, Gabriele Cesa, Christos Louizos, Kumar Pratik, Arash Behboodi

CoRR, November, 2025

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

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

Trans. Mach. Learn. Res., 2025

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

Arash Behboodi, Gabriele Cesa

Trans. Mach. Learn. Res., 2025

ReQuestNet: A Foundational Learning model for Channel Estimation.

Kumar Pratik, Pouriya Sadeghi, Gabriele Cesa, Sanaz Barghi, Joseph B. Soriaga, Yuanning Yu, Supratik Bhattacharjee, Arash Behboodi

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving.

Sara Rajaee, Kumar Pratik, Gabriele Cesa, Arash Behboodi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Adaptive Sampling for Continuous Group Equivariant Neural Networks.

Berfin Inal, Gabriele Cesa

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

Algebraic Topological Networks via the Persistent Local Homology Sheaf.

Gabriele Cesa, 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