| 2025 | CogSci | Fast and robust Bayesian inference for modular combinations of dynamic learning and decision models. | Krishn Bera, Alexander Fengler, Michael J. Frank |
| 2025 | ISIT | Removal of Small Weight Stopping Sets for Asynchronous Unsourced Multiple Access. | Frederik Ritter, Jonathan Mandelbaum, Alexander Fengler, Holger Jkel, Laurent Schmalen |
| 2024 | CogSci | The Perils of Omitting Omissions when Modeling Evidence Accumulation. | Xiamin Leng, Alexander Fengler, Amitai Shenhav, Michael J. Frank |
| 2024 | CogSci | Modelling History-Dependent Evidence Accumulation across Species. | Anne E. Urai, Zeynep Gnes, Kiant Fernandez, Alexander Fengler |
| 2023 | ISIT | On the Advantages of Asynchrony in the Unsourced MAC. | Alexander Fengler, Alejandro Lancho, Krishna Narayanan, Yury Polyanskiy |
| 2022 | ACSSC | Sparse Graph Codes for the 2-User Unsourced MAC. | Alexander Fengler, Gianluigi Liva, Yury Polyanskiy |
| 2020 | CogSci | Encoder-Decoder Neural Architectures for Fast Amortized Inference of Cognitive Process Models. | Alexander Fengler, Lakshmi Narasimhan Govindarajan, Michael J. Frank |
| 2020 | ISIT | Unsourced Multiuser Sparse Regression Codes achieve the Symmetric MAC Capacity. | Alexander Fengler, Peter Jung, Giuseppe Caire |
| 2019 | ACSSC | Grant-Free Massive Random Access With a Massive MIMO Receiver. | Alexander Fengler, Saeid Haghighatshoar, Peter Jung, Giuseppe Caire |
| 2019 | ISIT | SPARCs and AMP for Unsourced Random Access. | Alexander Fengler, Peter Jung, Giuseppe Caire |