Gabriele Cesa

26 papers A* 6B 2Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems.
CoRR
Rob Romijnders, Gabriele Cesa, Christos Louizos, Kumar Pratik, Arash Behboodi
2025 — conf
Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving.
ACL (Findings)
Sara Rajaee, Kumar Pratik, Gabriele Cesa, Arash Behboodi
2025 J jnl
Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving.
CoRR
Sara Rajaee, Kumar Pratik, Gabriele Cesa, Arash Behboodi
2025 J jnl
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach.
Trans. Mach. Learn. Res.
Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi
2025 J jnl
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing.
Trans. Mach. Learn. Res.
Arash Behboodi, Gabriele Cesa
2025 B conf
ReQuestNet: A Foundational Learning model for Channel Estimation.
GLOBECOM
Kumar Pratik, Pouriya Sadeghi, Gabriele Cesa, Sanaz Barghi, Joseph B. Soriaga, Yuanning Yu, Supratik Bhattacharjee, Arash Behboodi
2025 J jnl
ReQuestNet: A Foundational Learning model for Channel Estimation.
CoRR
Kumar Pratik, Pouriya Sadeghi, Gabriele Cesa, Sanaz Barghi, Joseph B. Soriaga, Yuanning Yu, Supratik Bhattacharjee, Arash Behboodi
2024 A* conf
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs.
ICML
Lars Veefkind, Gabriele Cesa
2024 J jnl
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs.
CoRR
Lars Veefkind, Gabriele Cesa
2024 — conf
Adaptive Sampling for Continuous Group Equivariant Neural Networks.
GRaM
Berfin Inal, Gabriele Cesa
2024 J jnl
Adaptive Sampling for Continuous Group Equivariant Neural Networks.
CoRR
Berfin Inal, Gabriele Cesa
2024 J jnl
Equivariant amortized inference of poses for cryo-EM.
CoRR
Larissa de Ruijter, Gabriele Cesa
2024 J jnl
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing.
CoRR
Arash Behboodi, Gabriele Cesa
2024 B conf
Unequal Message Protection: One-Shot analysis via Poisson Matching Lemma.
ISIT
Ashish Khisti, Arash Behboodi, Gabriele Cesa, Kumar Pratik
2023 J jnl
Algebraic Topological Networks via the Persistent Local Homology Sheaf.
CoRR
Gabriele Cesa, Arash Behboodi
2023 — conf
Equivariant Self-supervised Deep Pose Estimation for Cryo EM.
TAG-ML
Gabriele Cesa, Kumar Pratik, Arash Behboodi
2023 A* conf
Implicit Convolutional Kernels for Steerable CNNs.
NeurIPS
Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
2023 J jnl
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach.
CoRR
Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi
2022 A* conf
A PAC-Bayesian Generalization Bound for Equivariant Networks.
NeurIPS
Arash Behboodi, Gabriele Cesa, Taco S. Cohen
2022 J jnl
A PAC-Bayesian Generalization Bound for Equivariant Networks.
CoRR
Arash Behboodi, Gabriele Cesa, Taco Cohen
2022 A* conf
A Program to Build E(N)-Equivariant Steerable CNNs.
ICLR
Gabriele Cesa, Leon Lang, Maurice Weiler
2022 J jnl
Implicit Neural Convolutional Kernels for Steerable CNNs.
CoRR
Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
2022 A* conf
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane.
NeurIPS
Gabriele Cesa, Arash Behboodi, Taco S. Cohen, Max Welling
2020 J jnl
A Data and Compute Efficient Design for Limited-Resources Deep Learning.
CoRR
Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling
2019 A* conf
General E(2)-Equivariant Steerable CNNs.
NeurIPS
Maurice Weiler, Gabriele Cesa
2019 J jnl
General E(2)-Equivariant Steerable CNNs.
CoRR
Maurice Weiler, Gabriele Cesa