Arash BehboodiI am machine learning research scientist and Director of Engineering at Qualcomm AI Research. My research interests are at the intersection of machine learning, mathematical signal processing and information theory and include in particular learning theory, machine learning for inverse problems, compressed sensing, geometric deep learning and differentiable simulation. I am working as well on machine learning design for wireless communication systems. |
Accepted paper at NeurIPs 2024: An Information Theoretic Perspective on Conformal Prediction
We are organizing the workshop D3S3: Data-driven and Differentiable Simulations, Surrogates, and Solvers at NeurIPS 2024.
Accepted paper at TMLR, July 2024: Variational Learning LISTA .
Accepted paper at ICC 2024: Vision-Assisted Digital Twin Creation for mmWave Beam Management .
Fabio Valerio Massoli, Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi, Simulating, Fast and Slow: Learning Policies for Black-Box Optimization , Preprint 2024
Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi, An Information Theoretic Perspective on Conformal Prediction , NeurIPS 2024
Fabio Valerio Massoli, Christos Louizos, Arash Behboodi, Variational Learning LISTA , TMLR, July 2024
Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi, Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems , ICML FoRLaC workshop, July 2024
Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer, Probabilistic and Differentiable Wireless Simulation with Geometric Transformers , Preprint, also appeared at ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling 2024
Ashish Khisti, Arash Behboodi, Gabriele Cesa, Pratik Kumar, Unequal Message Protection: One-Shot analysis via Poisson Matching Lemma , ISIT, July 2024
Maximilian Arnold, Bence Major, Fabio Valerio Massoli, Joseph B Soriaga, Arash Behboodi, Vision-Assisted Digital Twin Creation for mmWave Beam Management , ICC, July 2024