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NTHRYS β€Ί PhD Assistance β€Ί Information Theory

Information Theory

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Information Theory

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Quantum Information Theory and Entanglement
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Channel Coding and Error Correction
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Rate-Distortion Theory
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Source Coding and Compression
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Information Geometry
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Mutual Information and Dependency Measures
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Shannon Capacity and Network Information Flow
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Secrecy Capacity and Cryptographic Information
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Kolmogorov Complexity and Algorithmic Information
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Quantum Channel Capacity and Communication
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Bayesian Information and Inference
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Markov Chain and Stochastic Process Information
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Thermodynamic and Statistical Mechanics Information
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Multiuser Information Theory
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Cognitive Radio and Spectrum Sensing
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Data Clustering and Quantization
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Neural Network Information Bottleneck
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DNA Sequence Information and Bioinformatics
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Wireless Network Coding and Relay
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Compressed Sensing and Sparse Recovery
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Feedback Communication and Control
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Machine Learning Generalization and Information
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Distributed Storage and Coding
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Privacy and Differential Privacy Information
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Hypothesis Testing and Detection Theory
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Lossy Source Coding with Side Information
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Image and Video Compression Standards
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Fountain Codes and Rateless Coding
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Graph Information and Network Analysis
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Belief Propagation and Message Passing
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Cognitive Systems and Active Information
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Quantum Cryptography and Key Distribution
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Multiple Access Channels and Interference
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Broadcast Channels and Secrecy
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Information Inequality and Extremality
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Approximate Message Passing and Iterative Algorithms
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Internet of Things and Sensor Networks
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Interference Alignment and Linear Codes
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Fano Inequality and Bounds
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Language Modeling and Natural Language Processing
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Quantum Key Distribution and Security
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Convexity and Convex Optimization Information
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Prediction and Time Series Information
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Index Coding and Broadcasting
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Causality and Information Flow
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Combinatorial Information Theory
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Adversarial Robustness and Information
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Semantic Communication and Meaning
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Polarization and Channel Transformation
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Molecular Communication and Biological Channels
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Lattice-Based Information Theory and Cryptography
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Topological Data Analysis and Information
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Quantum Error Correction and Information Protection
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Renyi Entropy and Generalized Information Measures
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Information Theory of Deep Neural Networks
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Finite Blocklength Information Theory
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Slepian-Wolf Distributed Source Coding
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Information Theory of Machine Translation
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Wyner Common Information and Secrecy
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Sparse Graph Codes and Irregular Sampling
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Information Asymmetry in Auction Theory
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Federated Learning and Information Privacy
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Dual Decomposition and Network Optimization
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Transfer Entropy and Causal Information
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Information Theory of Reinforcement Learning
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Semantic Capacity and Task-Oriented Communication
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Information Bottleneck for Domain Adaptation
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Index Modulation and Spatial Multiplexing Information
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Quantum Shannon Theory and Holevo Bound
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Information Theory of Biological Evolution
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Successive Cancellation and List Decoding
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Side Information and Channel State Information
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Information Theory of Economic Equilibrium
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Network Slicing and Information Allocation
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Spatial Coupling and Threshold Saturation
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Information Theory of Attention Mechanisms
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Millimeter Wave and Terahertz Communications
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Generative Model Information and Divergence
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Network Tomography and Inverse Information Problems
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Sparse Code Multiple Access Information
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Information Geometry of Statistical Manifolds
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Entropic Optimal Transport and Wasserstein
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Information Theory of Robotic Control
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Nonlinear Codes and Algebraic Geometry
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Information Asymmetry in Supply Chains
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Graph Neural Networks and Information Propagation
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Channel Capacity with Constraints and Feedback
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Information Theory of Climate Systems
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Wiretap Channel with Multiple Eavesdroppers
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Sublinear Time Algorithms and Streaming Information
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Information Theory of Swarm Intelligence
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Staircase Codes and Successive Refinement
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Gradient Compression and Federated Optimization
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Information Theory of Quantum Computing Noise
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Turbo-Equalization and Iterative Detection
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Information Theory of Cellular Communication
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Mutual Information Maximization and Representation Learning
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Graph Cut Algorithms and Min-Max Information
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Information Theory of Human Perception and Cognition
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Unequal Error Protection and Weighted Coding
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Information-Theoretic Learning Theory
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Belief Propagation and Graphical Models
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Functional Information and Molecular Biology
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Entropic Optimal Transport and Geometry
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Information Dynamics in Complex Networks
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Effective Complexity and Systems Theory
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Poisson Channel and Photonic Communication
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Rateless Fountain Codes Applications
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Information Theoretic Security Proofs
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Guessing Games and Sequential Decoding
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Information Flow in Biological Signaling
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Turbo Codes and Iterative Decoding
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Sparse Graph Codes and LDPC Design
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Information Geometry and Manifold Learning
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Ergodic Information Theory
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Biased Estimators and Mutual Information
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Coded Caching and Content Delivery
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Generalized Divergences and f-divergences
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Stochastic Thermodynamics and Information
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Side Information and Source Coding
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Sequential Information Theory Games
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Universality and Two-Stage Codes
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Expander Graphs and Code Design
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Backdoor Attacks and Information Leakage
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Gaussian Processes and Information Measures
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Cooperative Communication and Source Coding
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Continuous Alphabet Channel Coding
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Byzantine Attacks and Robust Aggregation
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Renyi Entropies and Divergences
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Multiple Descriptions and Diversity
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Information and Phase Transitions
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Group Testing and Combinatorial Search
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Sublinear Algorithms and Data Streaming
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Mismatched Decoding and Complexity
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Slepian-Wolf Coding and Distributed Compression
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Graphical Models and Factor Analysis
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Moderate Deviations and Large Deviations
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Quantum Entanglement Entropy Dynamics
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Information Asymmetry in Markets
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Decoding Complexity and Tree Codes
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Testability and Information Theoretic Testing
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Contextual Bandits and Information Gain
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Semantic Information and Meaning Quantification
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Successive Cancellation and Polarized Codes
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Information Bottleneck and Deep Learning
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Capacity of Channels with Memory
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Sorting Networks and Information Complexity
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Achievable Rates and Converse Proofs
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Lattice-based Information and Coding Theory
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Information-theoretic Machine Learning Bounds
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Multiterminal Source Coding and Compression
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Side Information in Channel Communication
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Superposition Coding and Successive Cancellation
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Entropic Regularization and Optimal Transport
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Turbo Codes and Iterative Decoding Performance
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Information Flow in Biological Neural Networks
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Sparse Graph Codes and LDPC Optimization
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Wiretap Channels and Information Leakage
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Deterministic Information Theory and Approximations
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Network Function Computation and Algebraic Methods
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Mutual Information Maximization and Optimization
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Gaussian Multiple Access Channel Analysis
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Information Reconciliation and Privacy Amplification
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Mismatched Decoding and Channel Uncertainty
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Stackelberg Games and Strategic Information
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Sublinear Approximation and Sketching Methods
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Successive Interference Cancellation Architectures
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Quantum Entanglement and Communication Protocols
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Convolution and Iterative Decoding Algorithms
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Hamming Distance Metrics and Edit Distance
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High-dimensional Concentration and Typicality
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Tanner Graphs and Code Construction
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Causal Information and Directed Acyclic Graphs
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Network Coding Capacity and Linear Solutions
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Gaussian Relay Channels and Cooperative Communication
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Asymptotic Equipartition Property Applications
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Expander Graphs and Code Performance
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Replica Symmetry Breaking and Statistical Physics
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Syndrome Decoding and Error Location
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Gaussian Approximation in Iterative Processing
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Maurer''s Universal Hashing and Randomness Extraction
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Tree Coding and Recursive Structure
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Watermarking and Information Embedding
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Stochastic Gradient Methods and Information Geometry
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Quantization Theory and Optimal Bit Allocation
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Fractional Repetition Codes and Availability
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Source Coding with Partial Side Information
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Markov Chain Mixing and Convergence Time
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Optical Channel Coding and Modulation
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Batch Normalization and Information Flow
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Secure Computation and Information Hiding
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Convolutional Turbo Product Codes
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Generalized Kullback-Leibler and f-divergences
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Coded Caching and Content Delivery Networks
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Reinforcement Learning and Information Rewards
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Semantic Information and Meaningful Communication
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Information Dynamics in Temporal Networks
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Analog Joint Source-Channel Coding
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Information-Theoretic Foundations of Machine Reasoning
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Quantum-Classical Information Hybrids and Hybrid Channels
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