2026

• Fröhlich, J., Heinlein, B., Claar, J., Rosenberger, H., Belagiannis, V., & Müller, R. (2026). The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning. Transactions on Machine Learning Research.

2025

• Almeeva, L., Lehnert, A., Müller, R., & Reichenbach, M. (2025). High-Performance, Area-Efficient and Predictable Matrix Multiplication for ASIC. In Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors (pp. 182-183). Vancouver, BC, CA: Institute of Electrical and Electronics Engineers Inc..
• Fröhlich, J., Rosenberger, H., & Müller, R. (2025). Spicing Up LLMs: The Role of PAPRICA Pruning in Linear Computation Coding. In Proceedings - 2025 IEEE Conference on Artificial Intelligence, CAI 2025 (pp. 352-357). Santa Clara, CA, USA: Institute of Electrical and Electronics Engineers Inc..
• Rosenberger, H., Fischer, R., Fröhlich, J., Bereyhi, A., & Müller, R. (2025). Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware. In 2025 IEEE Statistical Signal Processing Workshop (SSP) (pp. 1-5). Edinburgh, UA: New York City: IEEE.

2024

• Eisele, B., Bereyhi, A., Müller, R., & Rangan, S. (2024). Vector Approximate Message Passing for 3D MIMO Radar. In Proceedings of the Asilomar Conference on Signals, Systems, and Computers.
• Müller, R. (2024). Multi-Antenna Towards In-band Shift Keying. In Proceedings of the International Symposium on Wireless Communication Systems. Rio de Janeiro, BRA: VDE Verlag GmbH.
• Rosenberger, H., Bereyhi, A., & Müller, R. (2024). Graph-based Algorithms for Linear Computation Coding. In Amos Lapidoth, Stefan M. Moser (Eds.), International Zurich Seminar on Information and Communication (IZS 2024). Proceedings (pp. 62-66). Zürich, CH: ETH Zurich.

2023

• Bereyhi, A., Asaad, S., Ouyang, C., Müller, R., Schaefer, R.F., & Poor, H.V. (2023). Channel Hardening of IRS-Aided Multi-Antenna Systems: How Should IRSs Scale? IEEE Journal on Selected Areas in Communications, 1-1. https://doi.org/10.1109/JSAC.2023.3288237
• Bereyhi, A., Loureiro, B., Krzakala, F., Müller, R., & Schulz-Baldes, H. (2023). Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning. IEEE Transactions on Information Theory, 1-1. https://doi.org/10.1109/TIT.2023.3325187
• Bereyhi, A., Vagollari, A., Asaad, S., Müller, R., Gerstacker, W., & Poor, H.V. (2023). Device Scheduling in Over-the-Air Federated Learning via Matching Pursuit. IEEE Transactions on Signal Processing, 1-16. https://doi.org/10.1109/TSP.2023.3284376
• Eisele, B., Bereyhi, A., & Müller, R. (2023). Multiple Target Measurements: Bayesian Framework for Moving Object Detection in Mimo Radar. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). Rhodes Island, Greece, GR.
• Eisele, B., Bereyhi, A., Ullmann, I., & Müller, R. (2023). A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar. In 2023 IEEE Radar Conference (RadarConf23) (pp. 1-6). San Antonio, TX, USA, US.
• Karataev, A., Rosenberger, H., Bereyhi, A., & Müller, R. (2023). Storage Constrained Linear Computation Coding. In Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer (Eds.), Data Compression Conference Proceedings (pp. 345-). Snowbird, UT, USA: Institute of Electrical and Electronics Engineers Inc..
• Lehnert, A., Holzinger, P., Pfenning, S., Müller, R., & Reichenbach, M. (2023). Most Resource Efficient Matrix Vector Multiplication on FPGAs. IEEE Access, 1-1. https://doi.org/10.1109/ACCESS.2023.3234622
• Lehnert, A., Rosenberger, H., Müller, R., & Reichenbach, M. (2023). More Efficient CMMs on FPGAs: Instantiated Ternary Adders for Computation Coding. In Applied Reconfigurable Computing. Architectures, Tools, and Applications. (pp. 275-289).
• Müller, R., Rosenberger, H., & Reichenbach, M. (2023). Linear Computation Coding for Convolutional Neural Networks.
• Ouyang, C., Bereyhi, A., Asaad, S., Müller, R., Cheng, J., & Yang, H. (2023). On the Ergodic Mutual Information of Keyhole MIMO Channels with Finite-Alphabet Inputs. IEEE Communications Letters, 27(1), 90-94. https://doi.org/10.1109/LCOMM.2022.3211451
• Ouyang, C., Bereyhi, A., Asaad, S., Müller, R., & Yang, H. (2023). Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO. In WSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding (pp. 96-101). Braunschweig, DEU: VDE Verlag GmbH.
• Rosenberger, H., Fröhlich, J., Bereyhi, A., & Müller, R. (2023). Linear Computation Coding: Exponential Search and Reduced-State Algorithms. In Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer (Eds.), Data Compression Conference Proceedings (pp. 298-307). Snowbird, UT, US: Institute of Electrical and Electronics Engineers Inc..
• Sedaghat, M.A., Bereyhi, A., Müller, R., & Asaad, S. (2023). A Novel Tree-Based Algorithm for Device Coordination in Over-the-Air Federated Learning. In WSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding (pp. 1-6). Braunschweig, DEU: VDE Verlag GmbH.

2022

• Asaad, S., Wu, Y., Bereyhi, A., Müller, R., Schaefer, R.F., & Poor, H.V. (2022). Secure Active and Passive Beamforming in IRS-Aided MIMO Systems. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/TIFS.2022.3159108
• Bereyhi, A., Asaad, S., Ouyang, C., Müller, R., Schaefer, R.F., & Poor, H.V. (2022). How Should IRSs Scale to Harden Multi-Antenna Channels? In Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (pp. 276-280). Trondheim, NOR: IEEE Computer Society.
• Bereyhi, A., Loureiro, B., Krzakala, F., Müller, R., & Schulz-Baldes, H. (2022). Secure Coding via Gaussian Random Fields. In IEEE International Symposium on Information Theory - Proceedings (pp. 1241-1246). Espoo, FI: Institute of Electrical and Electronics Engineers Inc..
• Bereyhi, A., Müller, R., & Schulz-Baldes, H. (2022). Analysis of Sparse Recovery Algorithms via the Replica Method. In Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch (Eds.), Compressed Sensing in Information Processing. (pp. 145-179). Cham: Birkhäuser.
• Müller, R. (2022). Linear Computation Coding Inspired by the Lempel-Ziv Algorithm. In 2022 IEEE INFORMATION THEORY WORKSHOP (ITW) (pp. 606-611). Mumbai, IN: NEW YORK: IEEE.
• Müller, R., Gäde, B., & Bereyhi, A. (2022). Linear Computation Coding: A Framework for Joint Quantization and Computing. Algorithms, 15(7). https://doi.org/10.3390/a15070253

2021

• Asaad, S., Wu, Y., Bereyhi, A., Müller, R., Schaefer, R.F., & Poor, H.V. (2021). Joint Active and Passive Secure Precoding in IRS-Aided MIMO Systems. In 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). Madrid, SPAIN: NEW YORK: IEEE.
• Bereyhi, A., Asaad, S., Gäde, B., Müller, R., & Poor, H.V. (2021). Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2021.3110839
• Bereyhi, A., Asaad, S., & Müller, R. (2021). Oversampled Adaptive Sensing via a Predefined Codebook. In 2021 1st IEEE International Online Symposium on Joint Communications and Sensing, JC and S 2021. Dresden, DE: Institute of Electrical and Electronics Engineers Inc..
• Bereyhi, A., Asaad, S., Müller, R., Schaefer, R.F., Fischer, G., & Poor, H.V. (2021). Securing Massive MIMO Systems: Secrecy for Free with Low-Complexity Architectures. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/TWC.2021.3070529
• Gäde, B., Erhardt, S., Fischer, G., & Müller, R. (2021). An Outphasing MIMO Architecture Prototype. In Proceedings of the European Microwave Week 2020. Jaarbeurs Convention Centre Utrecht (Virtual conference due to COVID-19).
• Jamali Kooshkghazi, V., Tulino, A.M., Fischer, G., Müller, R., & Schober, R. (2021). Intelligent surface-Aided transmitter architectures for millimeter-wave ultra massive mimo systems. IEEE Open Journal of the Communications Society, 2, 144-167. https://doi.org/10.1109/OJCOMS.2020.3048063
• Müller, R. (2021). Energy-Efficient Digital Beamforming by Means of Linear Computation Coding. In IEEE Workshop on Statistical Signal Processing Proceedings (pp. 186-190). Virtual, Rio de Janeiro, BRA: IEEE Computer Society.
• Müller, R. (2021). Massive Gaussian Multiple-Access by Random Coding With Soft Interference Cancellation. In IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021). , ELECTR NETWORK: NEW YORK: IEEE.
• Müller, R. (2021). On Approximation, Bounding & Exact Calculation of Average Block Error Probability for Random Code Ensembles. IEEE Transactions on Communications. https://doi.org/10.1109/TCOMM.2021.3052539
• Müller, R. (2021). Soft interference cancellation for random coding in massive gaussian multiple-access†. Entropy, 23(5). https://doi.org/10.3390/e23050539
• Müller, R., Gäde, B., & Bereyhi, A. (2021). Linear computation coding. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 5065-5069). Virtual, Toronto, ON, CAN: Institute of Electrical and Electronics Engineers Inc..