| 2023 | GLOBECOM | 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 |
| 2023 | GLOBECOM | Energy-Based Arithmetic Coding Methods for Probabilistic Amplitude Shaping. | Wei Liu, Tom Richardson, Ori Shental, Liangming Wu, Changlong Xu, Hao Xu |
| 2023 | ISIT | Approximation Methods for Enumerating Sequences for Probabilistic Amplitude Shaping. | Wei Liu, Tom Richardson, Hao Xu, Changlong Xu, Liangming Wu, Ori Shental |
| 2020 | ISIT | Bounding the Achievable Region of Sparse NOMA. | Benjamin M. Zaidel, Ori Shental, Shlomo Shamai Shitz |
| 2019 | GLOBECOM | The Penalty in Scaling Exponent for Polar Codes Is Analytically Approximated by the Golden Ratio. | Ori Shental |
| 2019 | GLOBECOM | "Machine LLRning": Learning to Softly Demodulate. | Ori Shental, Jakob Hoydis |
| 2018 | ISIT | Sparse NOMA: A Closed-Form Characterization. | Benjamin M. Zaidel, Ori Shental, Shlomo Shamai Shitz |
| 2017 | ISIT | Low-density code-domain NOMA: Better be regular. | Ori Shental, Benjamin M. Zaidel, Shlomo Shamai Shitz |
| 2008 | ISIT | Gaussian belief propagation based multiuser detection. | Danny Bickson, Danny Dolev, Ori Shental, Paul H. Siegel, Jack K. Wolf |
| 2008 | ISIT | Gaussian belief propagation solver for systems of linear equations. | Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny Bickson, Danny Dolev |
| 2005 | ISIT | On the achievable information rates of finite-state input two-dimensional channels with memory. | Ori Shental, Noam Shental, Shlomo Shamai |
| 2004 | ITW | Generalized belief propagation receiver for near-optimal detection of two-dimensional channels with memory. | Ori Shental, Anthony J. Weiss, Noam Shental, Yair Weiss |