Tsachy Weissman

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Tsachy Weissman is affiliated with the following schools: Technion – Israel Institute of Technology, Stanford University

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Tsachy Weissman

Computer Science

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Tsachy Weissman

Engineering

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#4584

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Electrical Engineering

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Computer Science
Engineering

Tsachy Weissman's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University

Why Is Tsachy Weissman Influential?

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According to Wikipedia, Tsachy Weissman is a professor of Electrical Engineering at Stanford University. He is the founding director of the Stanford Compression Forum. His research interests include information theory, statistical signal processing, their applications, with recent emphasis on biological applications, in genomics in particular, lossless compression, lossy compression, delay-constrained and complexity-constrained compression and communication, network information theory, feedback communications, directed information, the interplay between estimation theory and information theory, entropy, noise reduction , filtering, prediction, sequential decision making, learning, and connections with probability, statistics, and computer science .

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Tsachy Weissman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Inequalities for the L1 Deviation of the Empirical Distribution (2003) (254)
Minimax Estimation of Functionals of Discrete Distributions (2014) (232)
Universal discrete denoising: known channel (2003) (192)
Multiterminal Source Coding Under Logarithmic Loss (2011) (146)
Finite State Channels With Time-Invariant Deterministic Feedback (2006) (143)
Capacity of the Trapdoor Channel With Feedback (2006) (129)
Universal Estimation of Directed Information (2010) (114)
Maximum Likelihood Estimation of Functionals of Discrete Distributions (2014) (103)
Interpretations of Directed Information in Portfolio Theory, Data Compression, and Hypothesis Testing (2009) (96)
Capacity of Channels With Action-Dependent States (2009) (84)
The Information Lost in Erasures (2008) (77)
Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints (2018) (76)
The Human Pangenome Project: a global resource to map genomic diversity (2022) (76)
The Gaussian Channel with Noisy Feedback (2007) (71)
Minimax estimation of the L1 distance (2016) (70)
Optimal rates of entropy estimation over Lipschitz balls (2017) (67)
Neural Joint Source-Channel Coding (2018) (65)
Mutual Information, Relative Entropy, and Estimation in the Poisson Channel (2010) (64)
A discrete universal denoiser and its application to binary images (2003) (63)
On limited-delay lossy coding and filtering of individual sequences (2001) (60)
Effect of lossy compression of quality scores on variant calling (2015) (58)
Source Coding With Limited-Look-Ahead Side Information at the Decoder (2006) (58)
Justification of Logarithmic Loss via the Benefit of Side Information (2014) (57)
Minimax Estimation of Discrete Distributions under ℓ1 Loss (2014) (57)
Distortion Rate Function of Sub-Nyquist Sampled Gaussian Sources (2016) (54)
QualComp: a new lossy compressor for quality scores based on rate distortion theory (2013) (53)
DUDE-Seq: Fast, flexible, and robust denoising for targeted amplicon sequencing (2015) (53)
Source Coding With a Side Information “Vending Machine” (2009) (51)
New bounds on the entropy rate of hidden Markov processes (2004) (50)
Approximate Profile Maximum Likelihood (2017) (49)
Capacity Region of the Finite-State Multiple-Access Channel With and Without Feedback (2007) (49)
Directed Information, Causal Estimation, and Communication in Continuous Time (2009) (49)
Dependence measures bounding the exploration bias for general measurements (2016) (47)
Universal prediction of individual binary sequences in the presence of noise (2001) (47)
On the optimality of symbol-by-symbol filtering and denoising (2004) (46)
The Relationship Between Causal and Noncausal Mismatched Estimation in Continuous-Time AWGN Channels (2010) (46)
Coding for the feedback Gel'fand-Pinsker channel and the feedforward Wyner-Ziv source (2005) (45)
Minimax Estimation of Discrete Distributions Under $\ell _{1}$ Loss (2014) (44)
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance (2018) (44)
Minimax Estimation of the $L_1$ Distance (2017) (44)
The minimax distortion redundancy in noisy source coding (2002) (43)
SPRING: a next-generation compressor for FASTQ data (2018) (42)
Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions (2018) (42)
iDoComp: a compression scheme for assembled genomes (2015) (42)
Universal discrete denoising: known channel (2003) (41)
On directed information and gambling (2008) (40)
Coding for Additive White Noise Channels With Feedback Corrupted by Quantization or Bounded Noise (2008) (40)
Minimax rate-optimal estimation of KL divergence between discrete distributions (2016) (40)
Universal Reinforcement Learning (2007) (39)
Capacity of a POST Channel With and Without Feedback (2013) (38)
On competitive prediction and its relation to rate-distortion theory (2003) (38)
Rate-distortion in near-linear time (2008) (37)
Probing Capacity (2010) (36)
The empirical distribution of rate-constrained source codes (2004) (35)
The human genome contracts again (2013) (35)
Universal FIR MMSE Filtering (2009) (33)
Two-Way Source Coding With a Helper (2008) (32)
Information Measures: The Curious Case of the Binary Alphabet (2014) (32)
NECST: Neural Joint Source-Channel Coding (2018) (31)
Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types (2020) (30)
Universal Zero-Delay Joint Source–Channel Coding (2006) (29)
On causal source codes with side information (2005) (29)
Improved read/write cost tradeoff in DNA-based data storage using LDPC codes (2019) (29)
Multi-directional context sets with applications to universal denoising and compression (2005) (28)
Rate-distortion via Markov chain Monte Carlo (2008) (28)
Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis (2018) (28)
Universal Filtering Via Prediction (2007) (28)
Reference based genome compression (2012) (28)
Error Exponents for the Gaussian Channel With Active Noisy Feedback (2009) (27)
Strong Successive Refinability and Rate-Distortion-Complexity Tradeoff (2015) (26)
Twofold universal prediction schemes for achieving the finite-state predictability of a noisy individual binary sequence (2001) (26)
Adaptive estimation of Shannon entropy (2015) (25)
Secure source coding with a public helper (2013) (25)
Demystifying ResNet (2016) (24)
On the Entropy Rate of Pattern Processes (2005) (24)
Asymptotic filtering and entropy rate of a hidden Markov process in the rare transitions regime (2005) (23)
Overcoming High Nanopore Basecaller Error Rates for DNA Storage Via Basecaller-Decoder Integration and Convolutional Codes (2019) (23)
On Estimation of L{r}-Norms in Gaussian White Noise Models (2017) (23)
On real time coding with limited lookahead (2011) (23)
Universal denoising for the finite-input general-output channel (2005) (23)
Universal Denoising of Discrete-Time Continuous-Amplitude Signals (2006) (21)
New Bounds on the Rate-Distortion Function of a Binary Markov Source (2007) (21)
On the Reliability of Gaussian Channels with Noisy Feedback (2007) (21)
Erasure Entropy (2006) (21)
Multiterminal source coding under logarithmic loss (2012) (21)
Comparison of the Achievable Rates in OFDM and Single Carrier Modulation with I.I.D. Inputs (2013) (20)
Optimal No-regret Learning in Repeated First-price Auctions (2020) (20)
Discrete Denoising With Shifts (2007) (19)
The relationship between causal and non-causal mismatched estimation in continuous-time AWGN channels (2010) (19)
Genomic Data Compression (2019) (19)
Cascade, Triangular and two way source coding with degraded side information at the second user (2010) (19)
Universally attainable error exponents for rate-distortion coding of noisy sources (2003) (19)
Channel decoding of systematically encoded unknown redundant sources (2004) (19)
Pointwise Relations Between Information and Estimation in Gaussian Noise (2011) (18)
Universal Minimax Discrete Denoising Under Channel Uncertainty (2005) (18)
Estimation With a Helper Who Knows the Interference (2012) (18)
Compression for Quadratic Similarity Queries (2013) (18)
The porosity of additive noise sequences (2012) (18)
A Context Quantization Approach to Universal Denoising (2007) (17)
Discrete universal filtering through incremental parsing (2004) (17)
Universal prediction of random binary sequences in a noisy environment (2004) (17)
Cascade and Triangular Source Coding With Side Information at the First Two Nodes (2010) (17)
Block and Sliding-Block Lossy Compression via MCMC (2012) (17)
Scanning and Sequential Decision Making for Multidimensional Data—Part II: The Noisy Case (2007) (16)
A Universal Scheme for Wyner–Ziv Coding of Discrete Sources (2010) (16)
Rateless lossy compression via the extremes (2014) (16)
GTRAC: fast retrieval from compressed collections of genomic variants (2016) (16)
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions (2020) (16)
Algorithms for discrete denoising under channel uncertainty (2005) (16)
LFZip: Lossy Compression of Multivariate Floating-Point Time Series Data via Improved Prediction (2019) (16)
Tradeoffs between the excess-code-length exponent and the excess-distortion exponent in lossy source coding (2002) (16)
Multi-terminal source coding with action dependent side information (2011) (14)
The degraded broadcast channel with action-dependent states (2012) (14)
Directed information and causal estimation in continuous time (2009) (14)
Minimax estimation of discrete distributions (2015) (14)
Efficient pruning of bi-directional context trees with applications to universal denoising and compression (2004) (14)
Capacity of Finite-State Channels with Time-Invariant Deterministic Feedback (2006) (14)
Approximations for the entropy rate of a hidden Markov process (2005) (14)
Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits (2017) (14)
The Minimal Compression Rate for Similarity Identification (2013) (13)
Entropy of Hidden Markov Processes and Connections to Dynamical Systems: Papers from the Banff International Research Station Workshop (2011) (13)
Lossy Compression of Discrete Sources via the Viterbi Algorithm (2010) (13)
Does dirichlet prior smoothing solve the Shannon entropy estimation problem? (2015) (13)
Entropy Rate Estimation for Markov Chains with Large State Space (2018) (13)
Capacity and Zero-Error Capacity of the Chemical Channel with Feedback (2007) (13)
Relations Between Information and Estimation in Discrete-Time Lévy Channels (2014) (13)
Relations between information and estimation in scalar Lévy channels (2014) (13)
Scanning and prediction in multidimensional data arrays (2002) (13)
Universality of logarithmic loss in lossy compression (2015) (13)
Discrete denoising for channels with memory (2005) (13)
Successive Refinement With Decoder Cooperation and Its Channel Coding Duals (2012) (13)
Mutual information, relative entropy and estimation error in semi-martingale channels (2017) (13)
Achievable Error Exponents in the Gaussian Channel With Rate-Limited Feedback (2010) (12)
To feed or not to feed back (2010) (12)
A Cluster-Based Approach to Compression of Quality Scores (2016) (12)
An Information-Theoretic Justification for Model Pruning (2021) (12)
Bounds on the Error Exponent of the AWGN Channel with AWGN-Corrupted Feedback (2006) (12)
Minimax Estimation of Divergences Between Discrete Distributions (2020) (12)
The quest to save genomics: Unless researchers solve the looming data compression problem, biomedical science could stagnate (2018) (11)
An MCMC Approach to Universal Lossy Compression of Analog Sources (2011) (11)
Minimax Estimation of KL Divergence between Discrete Distributions (2016) (11)
Aligned genomic data compression via improved modeling (2014) (11)
Scanning and Sequential Decision Making for Multidimensional Data–Part I: The Noiseless Case (2006) (11)
Concentration Inequalities for the Empirical Distribution (2018) (11)
An MCMC Approach to Lossy Compression of Continuous Sources (2010) (10)
Universal discrete denoising (2002) (10)
Source Coding with Limited Side Information Lookahead at the Decoder (2006) (10)
Beyond Maximum Likelihood: from Theory to Practice (2014) (10)
smallWig: parallel compression of RNA-seq WIG files (2015) (10)
Compression with actions (2011) (10)
Universal Filtering Via Hidden Markov Modeling (2006) (9)
On Universal Compression with Constant Random Access (2018) (9)
Order-Optimal Estimation of Functionals of Discrete Distributions (2014) (9)
Multiterminal Source Coding With Action-Dependent Side Information (2011) (9)
Lossy Compression of Quality Values via Rate Distortion Theory (2012) (9)
Successive Pruning for Model Compression via Rate Distortion Theory (2021) (8)
Universal minimax discrete denoising under channel uncertainty (2004) (8)
Universal minimax binary image denoising under channel uncertainty (2004) (8)
Source coding with a side information 'vending machine' at the decoder (2009) (8)
Non-asymptotic Theory for the Plug-in Rule in Functional Estimation (2014) (8)
Quadratic Similarity Queries on Compressed Data (2013) (8)
To Feed or Not to Feedback (2014) (8)
Universal Denoising of Continuous Amplitude Signals with Applications to Images (2006) (7)
Not All Universal Source Codes Are Pointwise Universal (2004) (7)
Thermodynamics of hidden Markov processes (2011) (7)
Network Compression: Worst Case Analysis (2013) (7)
Universal Scanning and Sequential Decision Making for Multi-Dimensional Data - Part I: the Noiseless Case ⁄ (2006) (7)
On Universal Compression of Multi-Dimensional Data Arrays Using Self-Similar Curves (2000) (6)
A Universal Wyner-Ziv Scheme for Discrete Sources (2007) (6)
Denoising via MCMC-Based Lossy Compression (2012) (6)
Maximum Likelihood Estimation of information measures (2015) (6)
Problems we can solve with a helper (2009) (6)
Real-Time Coding With Limited Lookahead (2011) (6)
Compression Schemes for Similarity Queries (2014) (6)
Unsupervised learning and universal communication (2013) (6)
An Implementable Scheme for Universal Lossy Compression of Discrete Markov Sources (2009) (6)
Minimax Redundancy for Markov Chains with Large State Space (2018) (6)
Tighter Bounds on the Capacity of Finite-State Channels Via Markov Set-Chains (2010) (6)
QVZ: lossy compression of quality values. (2018) (6)
On the relationship between process and pattern entropy rate (2005) (6)
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text (2021) (6)
Competitive On-line Linear FIR MMSE Filtering (2007) (6)
Worst-case source for distributed compression with quadratic distortion (2012) (6)
Compression for Quadratic Similarity Queries: Finite Blocklength and Practical Schemes (2014) (5)
Source Coding with a Side Information (2009) (5)
DUDE-Seq: Fast, flexible, and robust denoising of nucleotide sequences (2015) (5)
Relations Between Information and Estimation in the Presence of Feedback (2014) (5)
Disproof of the Shamai-Laroia conjecture (2012) (5)
Compression for similarity identification: Fundamental limits (2014) (5)
Neural Network Compression for Noisy Storage Devices (2021) (5)
On the optimality of symbol by symbol filtering and denoising (2004) (5)
Efficient similarity queries via lossy compression (2013) (5)
Denoising of Aligned Genomic Data (2019) (5)
Rate-Distortion with a Limited-Rate Helper to the Encoder and Decoder (2008) (5)
Distortion rate function of sub-Nyquist sampled Gaussian sources corrupted by noise (2013) (5)
Pointwise relations between information and estimation in the Poisson channel (2013) (5)
Universally Attainable Error-Exponents for Rate-Constrained Denoising of Noisy Sources (2002) (5)
Classification and clustering of RNA crosslink-ligation data reveal complex structures and homodimers (2021) (5)
On competitive zero-delay joint source-channel coding (2004) (5)
On competitive prediction and its relation to rate-distortion theory and to channel capacity theory (2003) (5)
Joint source-channel coding of one random variable over the Poisson channel (2012) (5)
Rate-Distortion Theoretic Model Compression: Successive Refinement for Pruning (2021) (4)
Two-way source coding with a common helper (2009) (4)
Coding for Additive White Noise Channels with Feedback Corrupted by Uniform Quantization or Bounded Noise (2006) (4)
Cascade and Triangular source coding with causal side information (2011) (4)
Scanning and Sequential Decision Making for Multidimensional Data (2007) (4)
Information, Estimation, and Lookahead in the Gaussian Channel (2013) (4)
Near optimal lossy source coding and compression-based denoising via Markov chain Monte Carlo (2008) (4)
Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets (2016) (4)
Universal estimation of directed information via sequential probability assignments (2012) (4)
Compression for exact match identification (2013) (4)
When is Noisy State Information at the Encoder as Useless as No Information or as Good as Noise-Free State? (2016) (4)
GeneComp, a New Reference-Based Compressor for SAM Files (2017) (4)
Lossy Source Coding via Markov Chain Monte Carlo (2008) (4)
Discrete universal filtering via hidden Markov modelling (2005) (4)
Source Coding with Causal Side Information at the Decoder ∗ (2005) (3)
Pointwise Relations between Information and Estimation (2011) (3)
Reliable uncoded communication in the SIMO MAC via low-complexity decoding (2013) (3)
On an Extremal Data Processing Inequality for long Markov Chains (2014) (3)
On prediction of individual sequences relative to a set of experts in the presence of noise (1999) (3)
Learning under Storage and Privacy Constraints (2022) (3)
New bounds for the capacity region of the Finite-State Multiple Access Channel (2008) (3)
Multiple description coding of discrete ergodic sources (2009) (3)
Comment on: 'ERGC: an efficient referential genome compression algorithm' (2016) (3)
Minimax filtering regret via relations between information and estimation (2013) (3)
Universal denoising for the finite-input-general-output channel (2004) (3)
Cross-linked RNA Secondary Structure Analysis using Network Techniques (2019) (3)
On successive refinement for the Wyner-Ziv problem with partially cooperating decoders (2008) (3)
Rate-distortion with common rate-limited side information to the encoder and decoder (2008) (3)
Chained Kullback-Leibler divergences (2016) (3)
Reducing latency and bandwidth for video streaming using keypoint extraction and digital puppetry (2020) (3)
Denoising of Quality Scores for Boosted Inference and Reduced Storage (2016) (3)
Compressing Tabular Data via Pairwise Dependencies (2017) (2)
Generalizations of maximal inequalities to arbitrary selection rules (2017) (2)
Compression With Actions (2014) (2)
PIM: Video Coding using Perceptual Importance Maps (2022) (2)
Error exponents for the Gaussian channel with noisy active feedback (2010) (2)
Achievable complexity-performance tradeoffs in lossy compression (2012) (2)
Compression for quadratic similarity queries via shape-gain quantizers (2014) (2)
AI-Generated Characters: Putting Deepfakes to Good Use (2022) (2)
How to Filter an “Individual Sequence With Feedback” (2008) (2)
Multiple access channel with partial-cribbing encoders (2010) (2)
Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy (2020) (2)
Minimum Power to Maintain a Nonequilibrium Distribution of a Markov Chain (2019) (2)
Network compression: Worst-case analysis (2013) (2)
Minimax Filtering via Relations between Information and Estimation (2013) (2)
Reference-free lossless compression of nanopore sequencing reads using an approximate assembly approach (2021) (2)
Discrete denoising of heterogeneous two-dimensional data (2010) (2)
MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm (2021) (2)
To observe or not to observe the channel state (2010) (2)
Denoising and Filtering Under the Probability of Excess Loss Criterion (2007) (2)
Humans are Still the Best Lossy Image Compressors (2018) (2)
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions (2022) (2)
Universal Scanning and Sequential Decision Making for Multidimensional Data (2006) (2)
Cascade source coding with side information at first two nodes (2010) (2)
The Porosity of Additive Noise Channels (2014) (1)
Complexity and rate-distortion tradeoff via successive refinement (2013) (1)
Operational extremality of Gaussianity in network compression, communication, and coding (2013) (1)
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation (2019) (1)
Compound Sequential Decisions Against the Well-Informed Antagonist (2006) (1)
An Interactive Annotation Tool for Perceptual Video Compression (2022) (1)
Information divergences and the curious case of the binary alphabet (2014) (1)
The Human Pangenome’s sequence conservation reveals a landscape of polymorphic structural variations (2022) (1)
On Separation in the Presence of Feedback (2007) (1)
Successive refinement with cribbing decoders and its channel coding duals (2012) (1)
Sparse Random Networks for Communication-Efficient Federated Learning (2022) (1)
On the capacity of finite-state channels (2008) (1)
Minimax estimation of information measures (2015) (1)
On information, estimation and lookahead (2012) (1)
KmerKeys: a web resource for searching indexed genome assemblies and variants (2021) (1)
Uncoded transmission in MAC channels achieves arbitrarily small error probability (2012) (1)
QualComp: a new lossy compressor for quality scores based on rate distortion theory (2013) (1)
Towards improved lossy image compression: Human image reconstruction with public-domain images (2018) (1)
Coding for the Feedback Gel'fand–Pinsker Channel and the Feedforward Wyner–Ziv Source (2006) (1)
Reliable uncoded communication in the underdetermined SIMO MAC with low-complexity decoding (2013) (1)
Optimal Communication Rates and Combinatorial Properties for Distributed Simulation. (2019) (1)
CROMqs: an infinitesimal successive refinement lossy compressor for the quality scores (2016) (0)
An outer bound for side-information scalable source coding with partially cooperating decoders (2009) (0)
Continuous-time directed information and its role in communication (2011) (0)
A Context Quantization Approach to (2009) (0)
Reflections on the 2006 IEEE Joint Communications/ Information Theory Paper Award (2011) (0)
Competitive On-lineLinearFIR MMSE Filtering (2007) (0)
Compression of genomic sequencing reads via hash-based reordering : Supplementary Data (2017) (0)
UniversalScanning of Mixing Random Fieldsand thePerformance ofthePeano-Hilbert Scan (2006) (0)
Principles and Applications of Science of Information (2017) (0)
Sequence analysis QVZ : lossy compression of quality values (2016) (0)
Orthogonal 2-Shortcut Xavier Orthogonal 2-Shortcut Xavier (2016) (0)
SPRING : FASTQ compression-Supplementary Data (2018) (0)
Strong successive refinability: Sufficient conditions (2014) (0)
A UniversalWyner-Ziv Scheme forDiscrete Sources (2007) (0)
UNIVERSALDENOISINGOF CONTINUOUS AMPLITUDE SIGNALSWITH APPLICATIONSTO IMAGES (2006) (0)
Genome analysis iDoComp : a compression scheme for assembled genomes (2015) (0)
CYRIL MÉASSON, Publications Editor PREDRAG SPASOJEVIc ´, Publications Editor (2010) (0)
Capacity of Binary Symmetric POST Channels (2014) (0)
Seventh Joint Workshop on Coding and Communications booklet of abstracts (2014) (0)
Supplementary material for The Human Genome Contracts Again (2013) (0)
New Bounds on theRate-Distortion Function of a (2007) (0)
Minimax Estimation of the <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> Distance (2018) (0)
Compression for Similarity Queries (2014) (0)
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation (2021) (0)
Scanning, Filtering and Prediction for Random Fields Corrupted by Gaussian Noise (2007) (0)
Universally attainable error-exponents for rate-distortion of noisy sources (2003) (0)
Mutual Information, Relative Entropy and Estimation Error in Semi-Martingale Channels (2016) (0)
Compression for Similarity Identification: Computing the Error Exponent (2015) (0)
Toward Textual Transform Coding (2023) (0)
DUDE-Seq: Fast Universal Denoising of Nucleotide Sequences (2015) (0)
I T ] 2 0 M ay 2 00 7 Scanning and Sequential Decision Making for Multi-Dimensional Data-Part II : the Noisy Case ∗ (2021) (0)
The role of lookahead in estimation under Gaussian noise (2013) (0)
Universal lossless compression-based denoising (2010) (0)
Universal Scanning of Mixing Random Fields and the Performance of the Peano-Hilbert Scan (2006) (0)
OFDM vs. Single Carrier Modulation (2014) (0)
Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols (2019) (0)
A universal scheme for learning (2005) (0)
Magnetic DNA random access memory with nanopore readouts and exponentially-scaled combinatorial addressing (2021) (0)
A ContextQuantization Approach toUniversal (2007) (0)
Entropy of Hidden Markov Processes and Connections to Dynamical Systems: Introduction (2011) (0)
Lossy Compression of Noisy Data for Private and Data-Efficient Learning (2022) (0)
Upper bounds on the Rate of Uniformly-Random Codes for the Deletion Channel (2022) (0)
Lossy Compression of Discrete Sources via The (2011) (0)
Where is the action in information theory (2009) (0)
Reflections on the DUDE (2007) (0)
Tsachy Weissman Information Theory – EE 376 A Course reader (2010) (0)
An iterative scheme for near optimal and universal lossy compression (2009) (0)

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Published Works

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What Schools Are Affiliated With Tsachy Weissman?

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