| 2026 | ISIT | On the Capacity of Noisy Frequency-based Channels. | Yuval Gerzon, Ilan Shomorony, Nir Weinberger |
| 2025 | ICLR | On Bits and Bandits: Quantifying the Regret-Information Trade-off. | Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor |
| 2025 | ICML | When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets. | Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry |
| 2025 | ISIT | Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel with Correlated Priors. | Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gndz |
| 2025 | ISIT | Mean Estimation in High-Dimensional Binary Timeinhomogeneous Markov Gaussian Mixture Models. | Abd El Latif Kadry, Yihan Zhang, Nir Weinberger |
| 2025 | ISIT | DeepDIVE: Optimizing Input-Constrained Distributions for Composite DNA Storage via Multinomial Channel. | Adir Kobovich, Eitan Yaakobi, Nir Weinberger |
| 2025 | ISIT | Optimal Overlap Detection of Shotgun Reads. | Nir Luria, Nir Weinberger |
| 2025 | ISIT | Achievable Rates of Frequency-based Channels of Unlimited Input Resolution. | Ran Tamir, Nir Weinberger |
| 2025 | ISIT | Entropy Estimation from Queries and Auxiliary Distribution Samples. | Nir Weinberger, Ran Tamir |
| 2025 | ISIT | Exploration-Exploitation Tradeoff in Universal Lossy Compression. | Nir Weinberger, Ram Zamir |
| 2025 | ITW | On Achievable Rates Over Noisy Nanopore Channels. | V Arvind Rameshwar, Nir Weinberger |
| 2024 | COLT | Statistical curriculum learning: An elimination algorithm achieving an oracle risk. | Omer Cohen, Ron Meir, Nir Weinberger |
| 2024 | ICLR | The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. | Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand |
| 2024 | ICLR | A representation-learning game for classes of prediction tasks. | Neria Uzan, Nir Weinberger |
| 2024 | ISIT | Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. | Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gndz, Nir Weinberger |
| 2024 | ISIT | Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics. | Dror Freirich, Nir Weinberger, Ron Meir |
| 2024 | ISIT | Capacity of Frequency-based Channels: Encoding Information in Molecular Concentrations. | Yuval Gerzon, Ilan Shomorony, Nir Weinberger |
| 2024 | ISIT | Information Rates Over DMCs with Many Independent Views. | V Arvind Rameshwar, Nir Weinberger |
| 2023 | AISTATS | Robust Linear Regression for General Feature Distribution. | Tom Norman, Nir Weinberger, Kfir Y. Levy |
| 2023 | ISIT | On Mismatched Oblivious Relaying. | Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz |
| 2023 | ISIT | Maximal-Capacity Discrete Memoryless Channel Identification. | Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gndz, Nir Weinberger |
| 2023 | ISIT | Fundamental Limits of Reference-Based Sequence Reordering. | Nir Weinberger, Ilan Shomorony |
| 2023 | PODS | Quantifying the Loss of Acyclic Join Dependencies. | Batya Kenig, Nir Weinberger |
| 2022 | ISIT | The Compound Information Bottleneck Program. | Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz |
| 2022 | ISIT | Learning Maximum Margin Channel Decoders for Non-linear Gaussian Channels. | Amit Tsvieli, Nir Weinberger |
| 2022 | ISIT | On Information-Theoretic Determination of Misspecified Rates of Convergence. | Nir Weinberger, Meir Feder |
| 2022 | ISIT | The DNA Storage Channel: Capacity and Error Probability Bounds. | Nir Weinberger, Neri Merhav |
| 2022 | ISIT | Upper Confidence Interval Strategies for Multi-Armed Bandits with Entropy Rewards. | Nir Weinberger, Michal Yemini |
| 2022 | ITW | On Information Bottleneck for Gaussian Processes. | Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz |
| 2020 | ISIT | Learning Additive Noise Channels: Generalization Bounds and Algorithms. | Nir Weinberger |
| 2019 | ISIT | Exponent Trade-off for Hypothesis Testing Over Noisy Channels. | Nir Weinberger, Yuval Kochman, Michle A. Wigger |
| 2018 | ISIT | On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. | Nir Weinberger, Yuval Kochman |
| 2018 | ISIT | Guessing with a Boolean Helper. | Nir Weinberger, Ofer Shayevitz |
| 2018 | ISIT | Self-Predicting Boolean Functions. | Nir Weinberger, Ofer Shayevitz |
| 2017 | ISIT | On the VC-dimension of binary codes. | Sihuang Hu, Nir Weinberger, Ofer Shayevitz |
| 2017 | ISIT | Lower bounds on parameter modulation-estimation under bandwidth constraints. | Nir Weinberger, Neri Merhav |
| 2016 | ISIT | A large deviations approach to secure lossy compression. | Nir Weinberger, Neri Merhav |
| 2016 | ISIT | On the optimal boolean function for prediction under quadratic loss. | Nir Weinberger, Ofer Shayevitz |
| 2015 | ISIT | Optimum trade-offs between error exponent and excess-rate exponent of Slepian-Wolf coding. | Nir Weinberger, Neri Merhav |
| 2015 | ISIT | Simplified erasure/list decoding. | Nir Weinberger, Neri Merhav |
| 2015 | ITW | Erasure/list random coding error exponents are not universally achievable. | Nir Weinberger, Wasim Huleihel, Neri Merhav |
| 2014 | ISIT | Large deviations analysis of variable-rate Slepian-Wolf coding. | Nir Weinberger, Neri Merhav |
| 2014 | ISIT | Codeword or noise? Exact random coding exponents for slotted asynchronism. | Nir Weinberger, Neri Merhav |
| 2011 | ISIT | Universal decoding over Gaussian fading channels - metric calculation and performance evaluation. | Nir Weinberger, Meir Feder |
| 2008 | ISIT | Universal decoding for linear Gaussian fading channels in the competitive minimax sense. | Nir Weinberger, Meir Feder |