Cesa, Gabriele

15 publications

ICLRW 2025 Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving Sara Rajaee, Kumar Pratik, Gabriele Cesa, Arash Behboodi

TMLR 2025 Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi

TMLR 2025 On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing Arash Behboodi, Gabriele Cesa

ICLRW 2025 ViNE-GATr: Scaling Geometric Algebra Transformers with Virtual Nodes Embeddings Julian Suk, Thomas Hehn, Arash Behboodi, Gabriele Cesa

ICML 2024 A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs Lars Veefkind, Gabriele Cesa

ICMLW 2024 Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal, Gabriele Cesa

ICLRW 2024 Equivariant Amortized Inference of Poses for Cryo-EM Larissa de Ruijter, Gabriele Cesa

NeurIPSW 2023 Algebraic Topological Networks via the Persistent Local Homology Sheaf Gabriele Cesa, Arash Behboodi

ICMLW 2023 Equivariant Self-Supervised Deep Pose Estimation for Cryo EM Gabriele Cesa, Kumar Pratik, Arash Behboodi

NeurIPS 2023 Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

NeurIPSW 2023 Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi

NeurIPS 2022 A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi, Gabriele Cesa, Taco S Cohen

ICLR 2022 A Program to Build E(N)-Equivariant Steerable CNNs Gabriele Cesa, Leon Lang, Maurice Weiler

NeurIPS 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

NeurIPS 2019 General E(2)-Equivariant Steerable CNNs Maurice Weiler, Gabriele Cesa