Tsachy Weissman

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 121

Top Venues

CoRR

IEEE Trans. Inf. Theory

ISIT

DCC

Publications

Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR (2024)
Francisco Pernice, Berivan Isik, Tsachy Weissman
Mutual Information Upper Bounds for Uniform Inputs Through the Deletion Channel. IEEE Trans. Inf. Theory 70 (7) (2024)
Lara Arikan, Tsachy Weissman
Semantic Image Compression Using Textual Transforms. ISIT (Workshops) (2024)
Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
Adaptive Compression in Federated Learning via Side Information. AISTATS (2024)
Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi
Sparse Random Networks for Communication-Efficient Federated Learning. ICLR (2023)
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
Neural Network Compression for Noisy Storage Devices. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. NeurIPS (2023)
Pulkit Tandon, Shubham Chandak, Pat Pataranutaporn, Yimeng Liu, Anesu M. Mapuranga, Pattie Maes, Tsachy Weissman, Misha Sra
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text. IEEE J. Sel. Areas Commun. 41 (1) (2023)
Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
Communication-Efficient Federated Learning through Importance Sampling. CoRR (2023)
Arjun Barrett, Laura Gomezjurado, Shuvam Mukherjee, Arz Bshara, Sahasrajit Sarmasarkar, Pulkit Tandon, Tsachy Weissman
Txt2Vid-Web: Web-based, Text-to-Video, Video Conferencing Pipeline. DCC (2023)
Tsachy Weissman
Toward Textual Transform Coding. CoRR (2023)
Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. CoRR (2023)
Valdemar Danry, Joanne Leong, Pat Pataranutaporn, Pulkit Tandon, Yimeng Liu, Roy Shilkrot, Parinya Punpongsanon, Tsachy Weissman, Pattie Maes, Misha Sra
AI-Generated Characters: Putting Deepfakes to Good Use. CHI Extended Abstracts (2022)
Berivan Isik, Francisco Pernice, Tsachy Weissman
Upper bounds on the Rate of Uniformly-Random Codes for the Deletion Channel. CoRR (2022)
Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. CoRR (2022)
Berivan Isik, Tsachy Weissman
Learning under Storage and Privacy Constraints. CoRR (2022)
Berivan Isik, Tsachy Weissman
Lossy Compression of Noisy Data for Private and Data-Efficient Learning. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Berivan Isik, Tsachy Weissman, Albert No
An Information-Theoretic Justification for Model Pruning. AISTATS (2022)
Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir D. Bourdev, Bruno A. Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson
An Interactive Annotation Tool for Perceptual Video Compression. QoMEX (2022)
Dmitri S. Pavlichin, Hojoon Lee, Stephanie U. Greer, Susan M. Grimes, Tsachy Weissman, Hanlee P. Ji
KmerKeys: a web resource for searching indexed genome assemblies and variants. Nucleic Acids Res. 50 (W1) (2022)
Berivan Isik, Tsachy Weissman
Learning under Storage and Privacy Constraints. ISIT (2022)
Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. NeurIPS (2022)
Meir Feder, Tsachy Weissman
Editorial Modern Compression. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi
Sparse Random Networks for Communication-Efficient Federated Learning. CoRR (2022)
Shubham Chandak, Kedar Tatwawadi, Srivatsan Sridhar, Tsachy Weissman
Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy. Bioinform. 36 (22-23) (2021)
Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman
MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. KDD (2021)
Roshan Prabhakar, Shubham Chandak, Carina Chiu, Renee Liang, Huong Nguyen, Kedar Tatwawadi, Tsachy Weissman
Reducing latency and bandwidth for video streaming using keypoint extraction and digital puppetry. DCC (2021)
Yanjun Han, Ayfer Özgür, Tsachy Weissman
Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints. IEEE Trans. Inf. Theory 67 (12) (2021)
Berivan Isik, Albert No, Tsachy Weissman
Successive Pruning for Model Compression via Rate Distortion Theory. CoRR (2021)
Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. IEEE Trans. Inf. Theory 67 (12) (2021)
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
Neural Network Compression for Noisy Storage Devices. CoRR (2021)
Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. ISIT (2021)
Pulkit Tandon, Shubham Chandak, Pat Pataranutaporn, Yimeng Liu, Anesu M. Mapuranga, Pattie Maes, Tsachy Weissman, Misha Sra
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text. CoRR (2021)
Yanjun Han, Zhengyuan Zhou, Tsachy Weissman
Optimal No-regret Learning in Repeated First-price Auctions. CoRR (2020)
Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. CoRR (2020)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Minimax Estimation of Divergences Between Discrete Distributions. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Shubham Chandak, Joachim Neu, Kedar Tatwawadi, Jay Mardia, Billy Lau, Matthew Kubit, Reyna Hulett, Peter Griffin, Mary Wootters, Tsachy Weissman, Hanlee Ji
Overcoming High Nanopore Basecaller Error Rates for DNA Storage via Basecaller-Decoder Integration and Convolutional Codes. ICASSP (2020)
Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio Ojea, Tsachy Weissman
LFZip: Lossy Compression of Multivariate Floating-Point Time Series Data via Improved Prediction. DCC (2020)
Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon
Neural Joint Source-Channel Coding. ICML (2019)
Dmitri S. Pavlichin, Yihui Quek, Tsachy Weissman
Minimum Power to Maintain a Nonequilibrium Distribution of a Markov Chain. CoRR (2019)
Shubham Chandak, Hanlee Ji, Kedar Tatwawadi, Billy Lau, Jay Mardia, Matthew Kubit, Joachim Neu, Peter Griffin, Mary Wootters, Tsachy Weissman
Improved read/write cost tradeoff in DNA-based data storage using LDPC codes. Allerton (2019)
Yanjun Han, Kedar Tatwawadi, Zhengqing Zhou, Gowtham R. Kurri, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. CoRR (2019)
Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio Ojea, Tsachy Weissman
LFZip: Lossy compression of multivariate floating-point time series data via improved prediction. CoRR (2019)
Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits. IEEE Trans. Inf. Theory 65 (10) (2019)
Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman
Approximate Profile Maximum Likelihood. J. Mach. Learn. Res. 20 (2019)
Shubham Chandak, Kedar Tatwawadi, Idoia Ochoa, Mikel Hernaez, Tsachy Weissman
SPRING: a next-generation compressor for FASTQ data. Bioinform. 35 (15) (2019)
Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman
Humans are Still the Best Lossy Image Compressors. DCC (2019)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Distance. IEEE Trans. Inf. Theory 64 (10) (2018)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. CoRR (2018)
Yanjun Han, Ayfer Özgür, Tsachy Weissman
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. CoRR (2018)
Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman
Humans are still the best lossy image compressors. CoRR (2018)
Kristy Choi, Kedar Tatwawadi, Tsachy Weissman, Stefano Ermon
NECST: Neural Joint Source-Channel Coding. CoRR (2018)
Jay Mardia, Jiantao Jiao, Ervin Tanczos, Robert D. Nowak, Tsachy Weissman
Concentration Inequalities for the Empirical Distribution. CoRR (2018)
Jiantao Jiao, Kartik Venkat, Tsachy Weissman
Mutual Information, Relative Entropy and Estimation Error in Semi-Martingale Channels. IEEE Trans. Inf. Theory 64 (10) (2018)
Kedar Tatwawadi, Shirin Saeedi Bidokhti, Tsachy Weissman
On Universal Compression with Constant Random Access. ISIT (2018)
Yanjun Han, Pritam Mukherjee, Ayfer Özgür, Tsachy Weissman
Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. ISIT (2018)
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
Entropy Rate Estimation for Markov Chains with Large State Space. CoRR (2018)
Greg Malysa, Mikel Hernaez, Idoia Ochoa, Milind Rao, Karthik Ganesan, Tsachy Weissman
QVZ: lossy compression of quality values. Bioinform. 34 (1) (2018)
Kedar Tatwawadi, Jiantao Jiao, Tsachy Weissman
Minimax Redundancy for Markov Chains with Large State Space. ISIT (2018)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. COLT (2018)
Yanjun Han, Ayfer Özgür, Tsachy Weissman
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. COLT (2018)
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
Entropy Rate Estimation for Markov Chains with Large State Space. NeurIPS (2018)
Kedar Shriram Tatwawadi, Jiantao Jiao, Tsachy Weissman
Minimax redundancy for Markov chains with large state space. CoRR (2018)
Shubham Chandak, Kedar Tatwawadi, Tsachy Weissman
Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis. Bioinform. 34 (4) (2018)
Thomas A. Courtade, Ananth Grama, Michael W. Mahoney, Tsachy Weissman
Principles and Applications of Science of Information. Proc. IEEE 105 (2) (2017)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Dependence measures bounding the exploration bias for general measurements. ISIT (2017)
Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
Maximum Likelihood Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory 63 (10) (2017)
Reggy Long, Mikel Hernaez, Idoia Ochoa, Tsachy Weissman
GeneComp, a New Reference-Based Compressor for SAM Files. DCC (2017)
Albert No, Tsachy Weissman
Universality of Logarithmic Loss in Lossy Compression. CoRR (2017)
Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu
Optimal rates of entropy estimation over Lipschitz balls. CoRR (2017)
Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman
Approximate Profile Maximum Likelihood. CoRR (2017)
Jiantao Jiao, Kartik Venkat, Tsachy Weissman
Mutual Information, Relative Entropy and Estimation Error in Semi-martingale Channels. CoRR (2017)
Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits. CoRR (2017)
Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley
Effect of lossy compression of quality scores on variant calling. Briefings Bioinform. 18 (2) (2017)
Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Tsachy Weissman
-Norms in Gaussian White Noise Models. CoRR (2017)
Dmitri S. Pavlichin, Amir Ingber, Tsachy Weissman
Compressing Tabular Data via Pairwise Dependencies. DCC (2017)
Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State? IEEE Trans. Inf. Theory 63 (2) (2017)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Bias Correction with Jackknife, Bootstrap, and Taylor Series. CoRR (2017)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Minimax Estimation of the $L_1$ Distance. CoRR (2017)
Jiantao Jiao, Kartik Venkat, Tsachy Weissman
Relations Between Information and Estimation in Discrete-Time Lévy Channels. IEEE Trans. Inf. Theory 63 (6) (2017)
Mikel Hernaez, Idoia Ochoa, Tsachy Weissman
A Cluster-Based Approach to Compression of Quality Scores. DCC (2016)
Kartik Venkat, Tsachy Weissman, Yair Carmon, Shlomo Shamai
Information, Estimation, and Lookahead in the Gaussian Channel. IEEE Trans. Signal Process. 64 (14) (2016)
Jiantao Jiao, Kartik Venkat, Tsachy Weissman
Mutual information, relative entropy and estimation error in semi-martingale channels. ISIT (2016)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets. ACSSC (2016)
Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley
Denoising of Quality Scores for Boosted Inference and Reduced Storage. DCC (2016)
Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State? CoRR (2016)
Alon Kipnis, Andrea J. Goldsmith, Yonina C. Eldar, Tsachy Weissman
Distortion Rate Function of Sub-Nyquist Sampled Gaussian Sources. IEEE Trans. Inf. Theory 62 (1) (2016)
Rui Xu, Jun Chen, Tsachy Weissman, Jian-Kang Zhang
When is noisy state information at the encoder as useless as no information or as good as noise-free state? ISIT (2016)
Sihan Li, Jiantao Jiao, Yanjun Han, Tsachy Weissman
Demystifying ResNet. CoRR (2016)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Dependence Measures Bounding the Exploration Bias for General Measurements. CoRR (2016)
Albert No, Amir Ingber, Tsachy Weissman
Strong Successive Refinability and Rate-Distortion-Complexity Tradeoff. IEEE Trans. Inf. Theory 62 (6) (2016)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Minimax rate-optimal estimation of KL divergence between discrete distributions. ISITA (2016)
Kedar Tatwawadi, Mikel Hernaez, Idoia Ochoa, Tsachy Weissman
GTRAC: fast retrieval from compressed collections of genomic variants. Bioinform. 32 (17) (2016)
Zhiying Wang, Tsachy Weissman, Olgica Milenkovic
smallWig: parallel compression of RNA-seq WIG files. Bioinform. 32 (2) (2016)
Idoia Ochoa, Albert No, Mikel Hernaez, Tsachy Weissman
CROMqs: an infinitesimal successive refinement lossy compressor for the quality scores. ITW (2016)
Albert No, Tsachy Weissman
Rateless Lossy Compression via the Extremes. IEEE Trans. Inf. Theory 62 (10) (2016)
Kittipong Kittichokechai, Yeow-Khiang Chia, Tobias J. Oechtering, Mikael Skoglund, Tsachy Weissman
Secure Source Coding With a Public Helper. IEEE Trans. Inf. Theory 62 (7) (2016)
Dmitri S. Pavlichin, Tsachy Weissman
Chained Kullback-Leibler divergences. ISIT (2016)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Minimax Estimation of KL Divergence between Discrete Distributions. CoRR (2016)
Fabian Steiner, Steffen Dempfle, Amir Ingber, Tsachy Weissman
Compression for Quadratic Similarity Queries: Finite Blocklength and Practical Schemes. IEEE Trans. Inf. Theory 62 (5) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tsachy Weissman