Behboodi, Arash

24 publications

ICLR 2025 Differentiable and Learnable Wireless Simulation with Geometric Transformers Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

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

ICLR 2025 Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits Ashish J Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos

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

NeurIPS 2024 An Information Theoretic Perspective on Conformal Prediction Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi

ICMLW 2024 Differentiable Wireless Simulation with Geometric Transformers Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

ICMLW 2024 Geometric Wireless Simulation with Equivariant Transformers Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

ICMLW 2024 ImportanceWeighted Multi-Draft Speculative Sampling Ashish J Khisti, Arash Behravesh, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos

ICMLW 2024 Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi

TMLR 2024 Variational Learning ISTA Fabio Valerio Massoli, Christos Louizos, Arash Behboodi

NeurIPSW 2023 Active Learning Policies for Solving Inverse Problems Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi, Fabio Valerio Massoli

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

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

NeurIPS 2023 Pruning vs Quantization: Which Is Better? Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort

NeurIPSW 2023 Switching Policies for Solving Inverse Problems Tim Bakker, Fabio Valerio Massoli, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi

ICLR 2023 WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations Tribhuvanesh Orekondy, Pratik Kumar, Shreya Kadambi, Hao Ye, Joseph Soriaga, Arash Behboodi

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

ICML 2022 Equivariant Priors for Compressed Sensing with Unknown Orientation Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli, Arash Behboodi

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

AISTATS 2020 Adversarial Risk Bounds Through Sparsity Based Compression Emilio Balda, Niklas Koep, Arash Behboodi, Rudolf Mathar

ICLR 2020 Gradient $\ell_1$ Regularization for Quantization Robustness Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling