Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi, Fundamentals of Data Analytics With a View to Machine Learning. , Springer, 2020
Programming exercises for the book Fundamentals of Data Analytics With a View to Machine Learning and this lecture Fundamentals of Big Data Analytics - Programming Exercises are accessible at Github.
Arash Behboodi, Holger Rauhut, Ekkehard Schnoor, Compressive Sensing and Neural Networks from a Statistical Learning Perspective, Compressed Sensing in Information Processing. 2022 (Arxiv)
Emilio Balda, Arash Behboodi, Rudolf Mathar, Adversarial Examples in Deep Neural Networks: An Overview, Deep Learning: Algorithms and Applications, Springer
Niklas Koep, Arash Behboodi, Rudolf Mathar, An Introduction to Compressed Sensing, Compressed Sensing and its Applications, Springer
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
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
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
Gabriele Cesa, Arash Behboodi, Algebraic Topological Networks via the Persistent Local Homology Sheaf , Symmetry and Geometry in Neural Representations - NeurReps Workshop, NeurIPS 2023
Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi, Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach , Symmetry and Geometry in Neural Representations - NeurReps Workshop, NeurIPS 2023
Tim Bakker, Fabio Valerio Massoli, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi, Switching policies for solving inverse problems , NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, NeurIPS 2023
Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga, Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps, Globecom 2023, Arxiv, Dec. 2023
Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort, Pruning vs Quantization: Which is Better?, NeurIPS 2023, Arxiv, July 2023
Ekkehard Schnoor, Arash Behboodi, Holger Rauhut, Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks, Information and Inference: A Journal of the IMA, Volume 12, Issue 3, September 2023, (Arxiv)
Gabriele Cesa, Kumar Pratik, Arash Behboodi, Equivariant Self-supervised Deep Pose Estimation for Cryo EM, ICML 2023 - Topology, Algebra, and Geometry in ML
Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Joseph B Soriaga, Arash Behboodi, Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems , IEEE Transactions on Wireless Communications, 2023
Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, Arash Behboodi Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO, IEEE Transactions on Communications, March 2023
Tribhuvanesh Orekondy, Pratik Kumar, Shreya Kadambi, Hao Ye, Joseph Soriaga, Arash Behboodi, WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling, ICLR 2023 (see the accompanied released dataset: link.)
João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb, Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?, ICC 2023
Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Quantized sparse weight decomposition for neural network compression, Arxiv, July 2022
Arash Behboodi, Gabriele Cesa, Taco Cohen, PAC-Bayesian Generalization Bounds for Equivariant Networks, NeurIPS 2022
Gabriele Cesa, Arash Behboodi, Taco Cohen, Max Welling On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane, NeurIPS 2022
Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo, Joseph B. Soriaga, Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods, Globecom 2022
Daniel E Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan, Learning Perturbations for Soft-Output Linear MIMO Demappers, Globecom 2022
Niklas Koep, Arash Behboodi, Rudolf Mathar, The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery, Applied and Computational Harmonic Analysis, Vol. 60, September 2022, (Arxiv)
Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli, Arash Behboodi, Equivariant priors for compressed sensing with unknown orientation, ICML 2022
Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga, MIMO-GAN: Generative MIMO Channel Modeling, ICC 2022
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga, Max Welling, Roohollah Amiri, Srinivas Yerramalli, Taesang Yoo, Neural RF SLAM for unsupervised positioning and mapping with channel state information, ICC 2022
Arya Bangun, Arash Behboodi, Rudolf Mathar, Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids, Sampling Theory, Signal Processing, and Data Analysis, vol. 19, 2021 link. (Arxiv)
Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling, , Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking, Globecom 2021
Arya Bangun, Arash Behboodi, Rudolf Mathar, Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group, IEEE Transaction of Signal Processing, vol. 68, Feb. 2020 (Arxiv)
Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling, Gradient l1-Regularization for Quantization Robustness, International Conference on Learning Representations, ICLR 2020
Emilio Rafael Balda, Niklas Koep, Arash Behboodi, Rudolf Mathar, Adversarial Risk Bounds for Neural Networks through Sparsity based Compression, The 23rd International Conference on Artificial Intelligence and Statistics, AISTAT 2020, Arxiv
Filip Lemic, Arash Behboodi, Jeroen Famaey, Rudolf Mathar, Location-Based Discovery and Vertical Handover in Heterogeneous Low-Power Wide-Area Networks, IEEE Internet of Things Journal, vol. 6 , no. 6 , Dec. 2019 - (This paper contains a new derivation for the expected value of logarithm of noncentral chi-squared random variables. The new result can be accessed here ).
Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar, Perturbation Analysis of Learning Algorithms: Generation of Adversarial Examples From Classification to Regression, IEEE Transactions on Signal Processing, vol. 67 , no. 23 , Dec. 2019 (Arxiv)
Peter Langeberg, Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar, On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks, January 2019, Arxiv
Peter Langeberg, Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar, On the Robustness of Support Vector Machines against Adversarial Examples, 13th International Conference on Signal Processing and Communication Systems (ICSPCS), December 2019
Arya Bangun, Arash Behboodi and Rudolf Mathar, Signal Recovery from Phaseless Measurements of Spherical Harmonics Expansion, 27th European Signal Processing Conference, EUSIPCO 2019, Coruna, Spain, September 2-6, 2019.
Niklas Koep, Arash Behboodi, Rudolf Mathar, The Group Restricted Isometry Property for Sub-gaussian Block Diagonal Matrices, 2019 IEEE International Symposium on Information Theory (ISIT), Paris
Johannes Schmitz, Caspar von Lengerke, Nikita Airee, Arash Behboodi, Rudolf Mathar, A Deep Learning Wireless Transceiver with Fully Learned Modulation and Synchronization 2019 IEEE International Conference on Communications (ICC), 2nd Workshop on Machine Learning in Wireless Communications (ML4COM)
Niklas Koep, Arash Behboodi, Rudolf Mathar, Performance Analysis of One-Bit Group-Sparse Signal Reconstruction, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Cosme Culotta-Lopez, Arya Bangun, Arash Behboodi, Dirk Heberling, Rudolf Mathar, “On Phaseless Spherical Near-Field Antenna Measurement”, 13th European Conference on Antennas and Propagation (EUCAP 2019), Krakow, Poland
Cosme Culotta-Lopez, Arya Bangun, Arash Behboodi, Dirk Heberling, Rudolf Mathar, “A Modified Minimum-Coherence Sampling for Fast Spherical Near-Field Measurements”, 13th European Conference on Antennas and Propagation (EUCAP 2019), Krakow, Poland
Linchen Xiao, Arash Behboodi, Rudolf Mathar, Learning the Localization Function: Machine Learning Approach to Fingerprinting Localization, March 2018, (Arxiv)
Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar, A Tensor Analysis on Dense Connectivity via Convolutional Arithmetic Circuits, 2018
Emilio. R. Balda, Arash Behboodi, Rudolf Mathar, An Information Theoretic View on Learning of Artificial Neural Networks, 12th International Conference on Signal Processing and Communication Systems (ICSPCS), 17-19 December, 2018, Cairns, Australia
Cosme Culotta-Lopez, Dirk Heberling, Arya Bangun, Arash Behboodi, Rudolf Mathar, A Compressed Sampling for Spherical Near-Field Measurements, 40th Annual Meeting and Symposium of the Antenna Measurement Techniques Association (AMTA), Williamsburg Virginia, USA, 2018 (Best Technical Paper Award and 2nd Best Student Paper Award)
Emilio. R. Balda, Arash Behboodi, Rudolf Mathar, On Generation of Adversarial Examples using Convex Programming, 52th Asilomar Conference on Signals, Systems, and Computers, October 2018 (Best Student Paper Award)
Arya Bangun, Arash Behboodi and Rudolf Mathar, Coherence Bounds for Sensing Matrices in Spherical Harmonics Expansion, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 15–20 April 2018, Calgary, Alberta, Canada, ICASSP, 2018
Linchen Xiao, Arash Behboodi, Rudolf Mathar, A deep learning approach to Fingerprinting Indoor Localization, International Telecommunication Networks and Applications conference (ITNAC), 22-24 November, 2017, Melbourne, Australia
Filip Lemic, Arash Behboodi, Vlado Handziski, Anatolij Zubow, Rudolf Mathar, Adam Wolisz, “Location-based Mechanism for Positioning of a Mobile Relay”, The 13th ACM International Symposium on QoS and Security for Wireless and Mobile Networks (Q2SWinet), November 3-8, 2017, Miami Beach, USA.
Arash Behboodi, Filip Lemic, Adam Wolisz, Rudolf Mathar, “Interference Effect on the Performance of Fingerprinting Localization”, International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017), Japan, September 2017
Filip Lemic, Arash Behboodi, Vlado Handziski, Anatolij Zubow, Adam Wolisz, “Location-based Decision-making Mechanism for Device-to-Device Link Establishment”, IEEE 86th Vehicular Technology Conference (VTC), 24-27 September 2017, Toronto, Canada.
Arash Behboodi and Gholamreza Alirezaei and Rudolf Mathar, “On the Discreteness of Capacity-Achieving Distributions for the Censored Channel”, 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, July 2017
Hieu Le, Konstantin Miller, Arash Behboodi, Adam Wolisz, “Cross-Layer Approach for HTTP-Based Low-Delay Adaptive Streaming in Mobile Networks”, IEEE International Symposium on a World of Wireless Mobile and Mutlimedia Networks, IEEE WoWMoM, June 12-15, 2017 Macao, China.
Arash Behboodi, Filip Lemic, Adam Wolisz, “Hypothesis Testing Based Model for Fingerprinting Localization Algorithms”, IEEE 85th Vehicular Technology Conference (VTC), 4-7 June 2017, Sydney, Australia.
Sudarshan Sadananda, Arash Behboodi and Rudolf Mathar, “Energy Saving in Heterogeneous Cellular Networks with User Classification”, 21st International ITG Workshop on Smart Antennas (WSA), Berlin, Germany, 2017
Arash Behboodi, G. Alirezaei, R. Mathar, "On the Capacity of Censored Channels", 11th International ITG Conference on Systems, Communications and Coding (SCC'17), Hamburg, Germany, Feb. 2017
Arash Behboodi, Filip Lemic, Adam Wolisz, A Mathematical Model for Fingerprinting-based Localization Algorithms, October 2016 (Arxiv)
Arya Bangun, Arash Behboodi and Rudolf Mathar, Sparse Recovery in Wigner-D Basis Expansion, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), December 7- 9, 2016, Greater Washington, D.C.
Arash Behboodi, Anas Chaaban, Rudolf Mathar, Mohamed-Slim Alouini, "On Full Duplex Gaussian Relay Channels with Self-Interference ", IEEE International Symposium on Information Theory , ISIT 2016, July 2016, Barcelona, Spain
R. Cornelius, D. Heberling, N. Koep, A. Behboodi, R. Mathar, Compressed Sensing Applied to Spherical Near-field to Far-field Transformation, 10th European Conference on Antennas and Propagation (EuCAP 2016), Davos, Switzerland, April 2016
Arash Behboodi, Pablo Piantanida, Mixed Noisy Network Coding and Cooperative Unicasting in Wireless Networks, IEEE Transactions on Information Theory, vol.61, no.1, pp.189,222, Jan. 2015 (Arxiv)
Filip Lemic, Arash Behboodi, Vlado Handziski, Adam Wolisz, “ Increasing Interference Robustness of WiFi Fingerprinting by Leveraging Spectrum Information”, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), Liverpool, Oct. 2015
Hieu Le, Arash Behboodi, Adam Wolisz, "Quality Driven Resource Allocation for Adaptive Video Streaming in OFDMA Uplink ", Proc. IEEE Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1456 -1461, August 2015
Niklas Wirström, Arash Behboodi, Filip Lemic, Thiemo Voight, Adam Wolisz, “Localization using Anonymous Measurements”, International Conference on Distributed Computing in Sensor Systems (DCOSS 2015),Fortaleza, Brazil June 2015
Arash Behboodi, Niklas Wirström, Filip Lemic, Thiemo Voight, Adam Wolisz, “Interference Effect on Localization Solutions: Signal Feature Perspective”, IEEE 81st Vehicular Technology Conference, VTC2015-Spring 11-14 May 2015, Glasgow, Scotland
Arash Behboodi, Oblivious Lattice Coding for Gaussian Relay Channels, IEEE International Conference on Communications - ICC 2015, 8-12 June, London
Filip Lemic, Arash Behboodi, Vlado Handziski, Adam Wolisz, “Towards Systematic Experimental Evaluation of Fingerprinting-based Indoor Localization Approaches”, 5th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2014, October 17-30 Busan, Korea
Onur Ergin, Vlado Handziski, Arash Behboodi, Adam Wolisz, “Determining Node Sequence in a Linear Configuration”, 5th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2014, October 17-30 Busan, Korea
Hieu Le, Arash Behboodi, Adam Wolisz, “Dynamic Resource Allocation in OFDMA Uplink for MAI Mitigation and Throughput Improvement”, IEEE Vehicular Technology Conference 2014- VTC Fall, 14-17 September 2014, Vancouver, Canada
Arash Behboodi, Pablo Piantanida, Cooperative Strategies for Simultaneous and Broadcast Relay Channels, IEEE Transactions on Information Theory, vol. 59, no. 3, pp. 1417-1443, March 2013 (Arxiv)
Arash Behboodi, et al., “Evaluation of RF-based Indoor Localization Solutions for the Future Internet”, Future Network and Mobile Summit 2013 , 3 - 5 July 2013, Lisbon, Portugal.
Arash Behboodi, Pablo Piantanida, Mixed Noisy Network Coding, 2013 IEEE International Symposium on Information Theory (ISIT), pp. 2324-2328, July, 2013
Arash Behboodi, Pablo Piantanida,On the Asymptotic Spectrum of the Error Probability of Composite Networks, Information Theory Workshop 2012 (ITW). September 3-7, 2012, Lausanne - Switzerland (Invited Paper)
Arash Behboodi, Pablo Piantanida, “Selective Coding Strategy for Unicast Composite Networks”, IEEE International Symposium on Information Theory , ISIT 2012, July 2012 Cambridge, MA, USA
Arash Behboodi, Pablo Piantanida, “Selective Coding Strategy for Composite Relay Channels”, 5th International Symposium on Communication, Control, and signal processing, ISCCSP 2012, May 2012 Rome, Italy (Invited Paper)
Arash Behboodi, Pablo Piantanida, “Cooperative Strategies for Simultaneous Relay Channels”, 23rd Symposium on Signal and Image Processing, GRETSI, September 2011 Bordeaux, France
Arash Behboodi, Pablo Piantanida, On the Asymptotic Error Probability of Composite Relay Channel, IEEE International Symposium on Information Theory, ISIT 2011, August 2011 St Petersburg, Russia
Arash Behboodi, Pablo Piantanida, Broadcasting over the Relay Channel with Oblivious Cooperative Strategy, Forty-Eighth Annual Allerton Conference on Communication, Control, and Computing, September 29 - October 1, 2010 Allerton Retreat Center, Monticello, Illinois
Arash Behboodi, Pablo Piantanida, Capacity of a Class of Broadcast Relay Channels, IEEE International Symposium on Information Theory, ISIT 2010, June 13-18, 2010 Austin, Texas
Arash Behboodi, Pablo Piantanida, “On the Simultaneous Relay Channel with Collocated Relay and Destination Nodes”, WiOPT 2010 - International Workshop on Wireless Networks: Communication, Cooperation and Competition (WNC), May 31, 2010, Avignon, France
Arash Behboodi, Pablo Piantanida, “On the Simultaneous Relay Channel with Informed Receivers”, IEEE International Symposium on Information Theory, ISIT 2009, June 28-July 3, 2009- Seoul, Korea
Mohsen Baratvand, Mahmood Tabandeh, Arash Behboodi, Ali Fotowat Ahmadi, “Jitter-Buffer Man- agement for VoIP over Wireless LAN in a Limited Resource Device”, the Fourth International Con- ference on Networking and Services, ICNS 2008, March 16-21, 2008 - Gosier, Guadeloupe