Universal decoding for linear Gaussian fading channels in the competitive minimax sense. - Nir Weinberger; Meir Feder (ISIT, 2008)

Universal decoding over Gaussian fading channels - metric calculation and performance evaluation. - Nir Weinberger; Meir Feder (ISIT, 2011)

Large deviations analysis of variable-rate Slepian-Wolf coding. - Nir Weinberger; Neri Merhav (ISIT, 2014)

Codeword or noise? Exact random coding exponents for slotted asynchronism. - Nir Weinberger; Neri Merhav (ISIT, 2014)

Codeword or Noise? Exact Random Coding Exponents for Joint Detection and Decoding. - Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2014)

Optimum trade-offs between error exponent and excess-rate exponent of Slepian-Wolf coding. - Nir Weinberger; Neri Merhav (ISIT, 2015)

Optimum Tradeoffs Between the Error Exponent and the Excess-Rate Exponent of Variable-Rate Slepian-Wolf Coding. - Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2015)

Erasure/List Random Coding Error Exponents Are Not Universally Achievable. - Wasim Huleihel; Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2016)

A Large Deviations Approach to Secure Lossy Compression. - Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2017)

Lower Bounds on Parameter Modulation-Estimation Under Bandwidth Constraints. - Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2017)

Simplified Erasure/List Decoding. - Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2017)

Channel Detection in Coded Communication. - Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2017)

On the Optimal Boolean Function for Prediction Under Quadratic Loss. - Nir Weinberger; Ofer Shayevitz (IEEE Trans. Inf. Theory, 2017)

Guessing with a Boolean Helper. - Nir Weinberger; Ofer Shayevitz (ISIT, 2018)

On the VC-Dimension of Binary Codes. - Sihuang Hu; Nir Weinberger; Ofer Shayevitz (SIAM J. Discret. Math., 2018)

Exponent Trade-off for Hypothesis Testing Over Noisy Channels. - Nir Weinberger; Yuval Kochman; Michèle A. Wigger (ISIT, 2019)

Self-Predicting Boolean Functions. - Nir Weinberger; Ofer Shayevitz (SIAM J. Discret. Math., 2019)

Expurgated Bounds for the Asymmetric Broadcast Channel. - Ran Averbuch; Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2019)

On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. - Nir Weinberger; Yuval Kochman (IEEE Trans. Inf. Theory, 2019)

Learning Additive Noise Channels: Generalization Bounds and Algorithms. - Nir Weinberger (ISIT, 2020)

Guessing with a Bit of Help. - Nir Weinberger; Ofer Shayevitz (Entropy, 2020)

Large Deviations Behavior of the Logarithmic Error Probability of Random Codes. - Ran Tamir; Neri Merhav; Nir Weinberger; Albert Guillén i Fàbregas (IEEE Trans. Inf. Theory, 2020)

k-Vectors: An Alternating Minimization Algorithm for Learning Regression Functions. - Nir Weinberger; Meir Feder (IEEE Trans. Inf. Theory, 2020)

The DNA Storage Channel: Capacity and Error Probability. - Nir Weinberger; Neri Merhav (CoRR, 2021)

The Compound Information Bottleneck Program. - Michael Dikshtein; Nir Weinberger; Shlomo Shamai Shitz (ISIT, 2022)

Learning Maximum Margin Channel Decoders for Non-linear Gaussian Channels. - Amit Tsvieli; Nir Weinberger (ISIT, 2022)

On Information-Theoretic Determination of Misspecified Rates of Convergence. - Nir Weinberger; Meir Feder (ISIT, 2022)

Upper Confidence Interval Strategies for Multi-Armed Bandits with Entropy Rewards. - Nir Weinberger; Michal Yemini (ISIT, 2022)

On Information Bottleneck for Gaussian Processes. - Michael Dikshtein; Nir Weinberger; Shlomo Shamai Shitz (ITW, 2022)

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models. - Yihan Zhang 001; Nir Weinberger (NeurIPS, 2022)

The Compound Information Bottleneck Outlook. - Michael Dikshtein; Nir Weinberger; Shlomo Shamai (CoRR, 2022)

Error Probability Bounds for Coded-Index DNA Storage. - Nir Weinberger (CoRR, 2022)

The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures. - Nir Weinberger; Guy Bresler (J. Mach. Learn. Res., 2022)

Generalization Bounds and Algorithms for Learning to Communicate Over Additive Noise Channels. - Nir Weinberger (IEEE Trans. Inf. Theory, 2022)

Error Probability Bounds for Coded-Index DNA Storage Systems. - Nir Weinberger (IEEE Trans. Inf. Theory, 2022)

The DNA Storage Channel: Capacity and Error Probability Bounds. - Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2022)

Robust Linear Regression for General Feature Distribution. - Tom Norman; Nir Weinberger; Kfir Y. Levy (AISTATS, 2023)

On Mismatched Oblivious Relaying. - Michael Dikshtein; Nir Weinberger; Shlomo Shamai Shitz (ISIT, 2023)

How do Minimum-Norm Shallow Denoisers Look in Function Space? - Chen Zeno; Greg Ongie; Yaniv Blumenfeld; Nir Weinberger; Daniel Soudry (NeurIPS, 2023)

Quantifying the Loss of Acyclic Join Dependencies. - Batya Kenig; Nir Weinberger (PODS, 2023)

M-DAB: An Input-Distribution Optimization Algorithm for Composite DNA Storage by the Multinomial Channel. - Adir Kobovich; Eitan Yaakobi; Nir Weinberger (CoRR, 2023)

Learning Maximum Margin Channel Decoders. - Amit Tsvieli; Nir Weinberger (IEEE Trans. Inf. Theory, 2023)

Design of optimal labeling patterns for optical genome mapping via information theory. - Yevgeni Nogin; Daniella Bar-Lev; Dganit Hanania; Tahir Detinis Zur; Yuval Ebenstein; Eitan Yaakobi; Nir Weinberger; Yoav Shechtman (Bioinform., 2023)

Multi-Armed Bandits With Self-Information Rewards. - Nir Weinberger; Michal Yemini (IEEE Trans. Inf. Theory, 2023)

Statistical curriculum learning: An elimination algorithm achieving an oracle risk. - Omer Cohen; Ron Meir; Nir Weinberger (COLT, 2024)

The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. - Daniel Goldfarb; Itay Evron; Nir Weinberger; Daniel Soudry; Paul Hand (ICLR, 2024)

A representation-learning game for classes of prediction tasks. - Neria Uzan; Nir Weinberger (ICLR, 2024)

Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Deniz Gündüz; Nir Weinberger (ISIT, 2024)

Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics. - Dror Freirich; Nir Weinberger; Ron Meir (ISIT, 2024)

Information Rates Over DMCs with Many Independent Views. - V Arvind Rameshwar 001; Nir Weinberger (ISIT, 2024)

A Toolbox for Refined Information-Theoretic Analyses with Applications. - Neri Merhav; Nir Weinberger (CoRR, 2024)

Fundamental Limits of Reference-Based Sequence Reordering. - Nir Weinberger; Ilan Shomorony (IEEE Trans. Inf. Theory, 2024)

On Bits and Bandits: Quantifying the Regret-Information Trade-off. - Itai Shufaro; Nadav Merlis; Nir Weinberger; Shie Mannor (ICLR, 2025)

A Toolbox for Refined Information-Theoretic Analyses. - Neri Merhav; Nir Weinberger (Found. Trends Commun. Inf. Theory, 2025)

Error Exponents for DNA Storage Codes With a Variable Number of Reads. - Yan Hao Ling; Nir Weinberger; Jonathan Scarlett (IEEE J. Sel. Areas Inf. Theory, 2025)

On Achievable Rates Over Noisy Nanopore Channels. - V Arvind Rameshwar 001; Nir Weinberger (CoRR, 2025)

DeepDIVE: Optimizing Input-Constrained Distributions for Composite DNA Storage via Multinomial Channel. - Adir Kobovich; Eitan Yaakobi; Nir Weinberger (CoRR, 2025)

BICompFL: Stochastic Federated Learning with Bi-Directional Compression. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Nir Weinberger; Deniz Gündüz (CoRR, 2025)

Optimal Overlap Detection of Shotgun Reads. - Nir Luria; Nir Weinberger (CoRR, 2025)

Maximal-Capacity Discrete Memoryless Channel Identification. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Deniz Gündüz; Nir Weinberger (IEEE Trans. Inf. Theory, 2025)

Information Rates Over Multi-View Channels. - V Arvind Rameshwar 001; Nir Weinberger (IEEE Trans. Inf. Theory, 2025)

Achievable Rates and Error Probability Bounds of Frequency-based Channels of Unlimited Input Resolution. - Ran Tamir; Nir Weinberger (CoRR, 2025)

Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Nir Weinberger; Deniz Gündüz (CoRR, 2025)

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 (CoRR, 2025)

Exploration-Exploitation Tradeoff in Universal Lossy Compression. - Nir Weinberger; Ram Zamir (CoRR, 2025)

Capacity of Frequency-Based Channels: Encoding Information in Molecular Concentrations. - Yuval Gerzon; Ilan Shomorony; Nir Weinberger (IEEE Trans. Inf. Theory, 2025)