Jitter-Buffer Management for VoIP over Wireless LAN in a Limited Resource Device. - Mohsen Baratvand; Mahmoud Tabandeh; Arash Behboodi; Ali Fotowat-Ahmady (ICNS, 2008)

On the simultaneous relay channel with informed receivers. - Arash Behboodi; Pablo Piantanida (ISIT, 2009)

Broadcasting over the relay channel with oblivious cooperative strategy. - Arash Behboodi; Pablo Piantanida (Allerton, 2010)

Capacity of a class of broadcast relay channels. - Arash Behboodi; Pablo Piantanida (ISIT, 2010)

On the simultaneous relay channel with collocated relay and destination nodes. - Arash Behboodi; Pablo Piantanida (WiOpt, 2010)

On the asymptotic error probability of composite relay channels. - Arash Behboodi; Pablo Piantanida (ISIT, 2011)

Selective Coding Strategy for composite relay channels. - Arash Behboodi; Pablo Piantanida (ISCCSP, 2012)

Selective coding strategy for unicast composite networks. - Arash Behboodi; Pablo Piantanida (ISIT, 2012)

On the asymptotic spectrum of the error probability of composite networks. - Arash Behboodi; Pablo Piantanida (ITW, 2012)

Mixed Noisy Network Coding. - Arash Behboodi; Pablo Piantanida (ISIT, 2013)

Cooperative Strategies for Simultaneous and Broadcast Relay Channels. - Arash Behboodi; Pablo Piantanida (IEEE Trans. Inf. Theory, 2013)

Determining node sequence in a linear configuration. - M. Onur Ergin; Vlado Handziski; Arash Behboodi; Adam Wolisz (IPIN, 2014)

Experimental decomposition of the performance of fingerprinting-based localization algorithms. - Filip Lemic; Arash Behboodi; Vlado Handziski; Adam Wolisz (IPIN, 2014)

Dynamic Resource Allocation in OFDMA Uplink for MAI Mitigation and Throughput Improvement. - Hieu Le 005; Arash Behboodi; Adam Wolisz (VTC Fall, 2014)

Increasing Interference Robustness of WiFi Fingerprinting by Leveraging Spectrum Information. - Filip Lemic; Arash Behboodi; Vlado Handziski; Adam Wolisz (CIT/IUCC/DASC/PICom, 2015)

Localization Using Anonymous Measurements. - Niklas Wirström; Arash Behboodi; Filip Lemic; Thiemo Voigt; Adam Wolisz (DCOSS, 2015)

Oblivious lattice codes for Gaussian relay channels. - Arash Behboodi (ICC, 2015)

Quality driven resource allocation for adaptive video streaming in OFDMA uplink. - Hieu Le 005; Arash Behboodi; Adam Wolisz (PIMRC, 2015)

Interference Effect on Localization Solutions: Signal Feature Perspective. - Arash Behboodi; Niklas Wirström; Filip Lemic; Thiemo Voigt; Adam Wolisz (VTC Spring, 2015)

Mixed Noisy Network Coding and Cooperative Unicasting in Wireless Networks. - Arash Behboodi; Pablo Piantanida (IEEE Trans. Inf. Theory, 2015)

Sparse recovery in Wigner-D basis expansion. - Arya Bangun; Arash Behboodi; Rudolf Mathar (GlobalSIP, 2016)

On full duplex Gaussian relay channels with self-interference. - Arash Behboodi; Anas Chaaban; Rudolf Mathar; Mohamed-Slim Alouini (ISIT, 2016)

A Mathematical Model for Fingerprinting-based Localization Algorithms. - Arash Behboodi; Filip Lemic; Adam Wolisz (CoRR, 2016)

Interference effect on the performance of fingerprinting localization. - Arash Behboodi; Filip Lemic; Adam Wolisz; Rudolf Mathar (IPIN, 2017)

On the discreteness of capacity-achieving distributions for the censored channel. - Arash Behboodi; Gholamreza Alirezaei; Rudolf Mathar (ISIT, 2017)

A deep learning approach to fingerprinting indoor localization solutions. - Linchen Xiao; Arash Behboodi; Rudolf Mathar (ITNAC, 2017)

Location-based Mechanism for Positioning of a Mobile Relay. - Filip Lemic; Arash Behboodi; Vlado Handziski; Anatolij Zubow; Rudolf Mathar; Adam Wolisz (Q2SWinet@MSWiM, 2017)

Hypothesis Testing Based Model for Fingerprinting Localization Algorithms. - Arash Behboodi; Filip Lemic; Adam Wolisz (VTC Spring, 2017)

Location-Based Decision-Making Mechanism for Device-to-Device Link Establishment. - Filip Lemic; Arash Behboodi; Vlado Handziski; Anatolij Zubow; Adam Wolisz (VTC Fall, 2017)

Layer approach for HTTP-based low-delay adaptive streaming in mobile networks. - Hieu Le 005; Konstantin Miller; Arash Behboodi; Adam Wolisz (WoWMoM, 2017)

Energy Saving in Heterogeneous Cellular Networks with User Classification. - Sudarshan Sadananda; Arash Behboodi; Rudolf Mathar (WSA, 2017)

On Generation of Adversarial Examples using Convex Programming. - Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (ACSSC, 2018)

Coherence Bounds for Sensing Matrices in Spherical Harmonics Expansion. - Arya Bangun; Arash Behboodi; Rudolf Mathar (ICASSP, 2018)

An Information Theoretic View on Learning of Artificial Neural Networks. - Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (ICSPCS, 2018)

Learning the Localization Function: Machine Learning Approach to Fingerprinting Localization. - Linchen Xiao; Arash Behboodi; Rudolf Mathar (CoRR, 2018)

Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples. - Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (CoRR, 2018)

Signal Recovery from Phaseless Measurements of Spherical Harmonics Expansion. - Arya Bangun; Arash Behboodi; Rudolf Mathar (EUSIPCO, 2019)

Performance Analysis of One-bit Group-sparse Signal Reconstruction. - Niklas Koep; Arash Behboodi; Rudolf Mathar (ICASSP, 2019)

A Deep Learning Wireless Transceiver with Fully Learned Modulation and Synchronization. - Johannes Schmitz; Caspar von Lengerke; Nikita Airee; Arash Behboodi; Rudolf Mathar (ICC Workshops, 2019)

On the Robustness of Support Vector Machines against Adversarial Examples. - Peter Langenberg; Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (ICSPCS, 2019)

The Group Restricted Isometry Property for Subgaussian Block Diagonal Matrices. - Niklas Koep; Arash Behboodi; Rudolf Mathar (ISIT, 2019)

The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery. - Niklas Koep; Arash Behboodi; Rudolf Mathar (CoRR, 2019)

On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks. - Peter Langenberg; Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (CoRR, 2019)

Adversarial Risk Bounds for Neural Networks through Sparsity based Compression. - Emilio Rafael Balda; Arash Behboodi; Niklas Koep; Rudolf Mathar (CoRR, 2019)

Location-Based Discovery and Vertical Handover in Heterogeneous Low-Power Wide-Area Networks. - Filip Lemic; Arash Behboodi; Jeroen Famaey; Rudolf Mathar (IEEE Internet Things J., 2019)

Perturbation Analysis of Learning Algorithms: Generation of Adversarial Examples From Classification to Regression. - Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (IEEE Trans. Signal Process., 2019)

Adversarial Risk Bounds through Sparsity based Compression. - Emilio Rafael Balda; Niklas Koep; Arash Behboodi; Rudolf Mathar (AISTATS, 2020)

Gradient $ ell_1$ Regularization for Quantization Robustness. - Milad Alizadeh; Arash Behboodi; Mart van Baalen; Christos Louizos; Tijmen Blankevoort; Max Welling (ICLR, 2020)

Gradient 𝓁1 Regularization for Quantization Robustness. - Milad Alizadeh; Arash Behboodi; Mart van Baalen; Christos Louizos; Tijmen Blankevoort; Max Welling (CoRR, 2020)

Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids. - Arya Bangun; Arash Behboodi; Rudolf Mathar (CoRR, 2020)

Generalization bounds for deep thresholding networks. - Arash Behboodi; Holger Rauhut; Ekkehard Schnoor (CoRR, 2020)

Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group. - Arya Bangun; Arash Behboodi; Rudolf Mathar (IEEE Trans. Signal Process., 2020)

Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. - Kumar Pratik; Rana Ali Amjad; Arash Behboodi; Joseph B. Soriaga; Max Welling (GLOBECOM, 2021)

Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks. - Ekkehard Schnoor; Arash Behboodi; Holger Rauhut (CoRR, 2021)

Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods. - Hamed Pezeshki; Fabio Valerio Massoli; Arash Behboodi; Taesang Yoo; Arumugam Kannan; Mahmoud Taherzadeh Boroujeni; Qiaoyu Li; Tao Luo 009; Joseph B. Soriaga (GLOBECOM, 2022)

Learning Perturbations for Soft-Output Linear MIMO Demappers. - Daniel E. Worrall; Markus Peschl; Arash Behboodi; Roberto Bondesan (GLOBECOM, 2022)

Neural RF SLAM for unsupervised positioning and mapping with channel state information. - Shreya Kadambi; Arash Behboodi; Joseph B. Soriaga; Max Welling; Roohollah Amiri; Srinivas Yerramalli; Taesang Yoo (ICC, 2022)

MIMO-GAN: Generative MIMO Channel Modeling. - Tribhuvanesh Orekondy; Arash Behboodi; Joseph B. Soriaga (ICC, 2022)

Equivariant Priors for compressed sensing with unknown orientation. - Anna Kuzina; Kumar Pratik; Fabio Valerio Massoli; Arash Behboodi (ICML, 2022)

A PAC-Bayesian Generalization Bound for Equivariant Networks. - Arash Behboodi; Gabriele Cesa; Taco S. Cohen (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, 2022)

Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are? - João Morais; Arash Behboodi; Hamed Pezeshki; Ahmed Alkhateeb (CoRR, 2022)

Quantized Sparse Weight Decomposition for Neural Network Compression. - Andrey Kuzmin; Mart van Baalen; Markus Nagel; Arash Behboodi (CoRR, 2022)

Multi-Modal Beam Prediction Challenge 2022: Towards Generalization. - Gouranga Charan; Umut Demirhan; João Morais; Arash Behboodi; Hamed Pezeshki; Ahmed Alkhateeb (CoRR, 2022)

Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. - Thomas M. Hehn; Tribhuvanesh Orekondy; Ori Shental; Arash Behboodi; Juan Bucheli; Akash S. Doshi; June Namgoong; Taesang Yoo; Ashwin Sampath; Joseph B. Soriaga (GLOBECOM, 2023)

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

Pruning vs Quantization: Which is Better? - Andrey Kuzmin; Markus Nagel; Mart van Baalen; Arash Behboodi; Tijmen Blankevoort (NeurIPS, 2023)

Equivariant Self-supervised Deep Pose Estimation for Cryo EM. - Gabriele Cesa; Kumar Pratik; Arash Behboodi (TAG-ML, 2023)

Algebraic Topological Networks via the Persistent Local Homology Sheaf. - Gabriele Cesa; Arash Behboodi (CoRR, 2023)

Deep Learning-Based Channel Estimation for Wideband Hybrid MmWave Massive MIMO. - Jiabao Gao; Caijun Zhong; Geoffrey Ye Li; Joseph B. Soriaga; Arash Behboodi (IEEE Trans. Commun., 2023)

Guest Editorial: Semantic Communications: Transmission Beyond Shannon. - Geoffrey Ye Li; Yonina C. Eldar; Arash Behboodi; Guangyi Liu 001 (IEEE Commun. Mag., 2023)

Vision-Assisted Digital Twin Creation for mmWave Beam Management. - Maximilian Arnold; Bence Major; Fabio Valerio Massoli; Joseph B. Soriaga; Arash Behboodi (ICC, 2024)

Unequal Message Protection: One-Shot analysis via Poisson Matching Lemma. - Ashish Khisti; Arash Behboodi; Gabriele Cesa; Kumar Pratik (ISIT, 2024)

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

Simulating, Fast and Slow: Learning Policies for Black-Box Optimization. - Fabio Valerio Massoli; Tim Bakker; Thomas Hehn 001; Tribhuvanesh Orekondy; Arash Behboodi (CoRR, 2024)

Probabilistic and Differentiable Wireless Simulation with Geometric Transformers. - Thomas Hehn 001; Markus Peschl; Tribhuvanesh Orekondy; Arash Behboodi; Johann Brehmer (CoRR, 2024)

Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. - Gianluigi Silvestri; Fabio Valerio Massoli; Tribhuvanesh Orekondy; Afshin Abdi; Arash Behboodi (CoRR, 2024)

Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits. - Ashish Khisti; MohammadReza Ebrahimi 002; Hassan Dbouk; Arash Behboodi; Roland Memisevic; Christos Louizos (CoRR, 2024)

Variational Learning ISTA. - Fabio Valerio Massoli; Christos Louizos; Arash Behboodi (Trans. Mach. Learn. Res., 2024)

Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems. - Jiabao Gao; Caijun Zhong; Geoffrey Ye Li; Joseph B. Soriaga; Arash Behboodi (IEEE Trans. Wirel. Commun., 2024)

Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving. - Sara Rajaee; Kumar Pratik; Gabriele Cesa; Arash Behboodi (ACL (Findings), 2025)

Differentiable and Learnable Wireless Simulation with Geometric Transformers. - Thomas Hehn 001; Markus Peschl; Tribhuvanesh Orekondy; Arash Behboodi; Johann Brehmer (ICLR, 2025)

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits. - Ashish J. Khisti; MohammadReza Ebrahimi 002; Hassan Dbouk; Arash Behboodi; Roland Memisevic; Christos Louizos (ICLR, 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)

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach. - Giovanni Luca Marchetti; Gabriele Cesa; Kumar Pratik; Arash Behboodi (Trans. Mach. Learn. Res., 2025)