Information-Theoretic Limits

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15 papers in the last four weeks, up 275% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 97

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  1. On the Cardinality of Optimal Representations in the Binary-Source Information Bottleneck

    Oct 5, 2026Dier Tang, Jun ChenInformation-Theoretic Limits

  2. The Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface

    Sep 28, 2026Yuxiang Liu, Lizhi Yang, Fengze Xie +2Contrastive LearningInformation-Theoretic Limits

  3. Information-Theoretic Analysis of Next-Token Prediction under Markovian Data

    Sep 28, 2026Masoud Kavian, Abdellatif Zaidi, Milad SefidgaranNext-Token PredictionInformation-Theoretic Limits

  4. Understanding Generalization Requires Universal Induction

    Sep 28, 2026Aram Ebtekar, Marcus Hutter, Danica J. SutherlandInductive BiasInduction

  5. Test-Time Scaling via Budgeted Multi-Attribute Verification

    Sep 28, 2026Bo Xue, Ji Cheng, Shen-Huan Lyu +2Token Budget AllocationLarge Language Model Responses

  6. On the Information-Theoretic Limits of Latent-Space Watermarking Through Pretrained Generators

    Sep 21, 2026Jinwan Jeon, Minju Lee, Sung Hoon LimWatermarksWatermarking

  7. Quantifying Mechanical Intelligence in Legged Robots with Information Theory

    Sep 17, 2026Zach J. PattersonLegged RobotsSoft Robotics

  8. Efficient Robust Learning at the Information-Theoretic Limit

    Sep 15, 2026Adam R. Klivans, Konstantinos Stavropoulos, Sergei Tikhonov +1LearnabilityEmpirical Risk Minimization

  9. A Mathematical Theory of Pragmatic Information

    Sep 10, 2026Kai Niu, Ping ZhangInformation-Theoretic LimitsTheory

  10. Speed Limit for Information Acquisition in Stochastic Learning Dynamics

    Sep 8, 2026Shuta Kobayashi, Andreas DechantStochastic Gradient DescentFisher Information Matrix

  11. Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferMarkov Chain Monte CarloThermodynamics

  12. CPR-IE:A Compression-Prediction-Resource Intelligence Efficiency Metric

    Sep 7, 2026Xiantao JiangEfficiencyPrioritization

  13. Strengthening Recursive Constructions for Zero-Error Shannon Capacity

    Aug 31, 2026Ravi TandonSource-Channel CodingInformation-Theoretic Limits

  14. Converse and Collision-Based Achievability for Node Localization with Hybrid Distance-Spectral Graph Positional Encodings

    Aug 31, 2026Zimo Yan, Yifan Li, Hao Li +4Positional EncodingGraph Laplacians

  15. Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning

    Aug 12, 2026Tieliang Gong, Zhongbo Zhang, Wen Wen +1Replay-Based Continual LearningContinual Learning

  16. ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM Handover

    Aug 11, 2026Minwoo Kim, Soochang Song, Namyoon Lee +2Kv-Cache ManagementKey-Value Cache

  17. Memory--Batch Tradeoffs in Lipschitz Bandits

    Aug 8, 2026Zicheng Lyu, Zengfeng HuangContextual Bandit FrameworkInformation-Theoretic Limits

  18. An Information Theoretic Treatment of Yager's Probability Distribution Negation

    Aug 1, 2026Roberto Bruno, Ugo VaccaroProbabilityInformation-Theoretic Limits

  19. Improved lower bounds for the Shannon capacity of odd cycles

    Jul 23, 2026Nathaniel Itty, Christopher D. Rosin, Chase Carstensen +1Maximum Independent SetLower Bounds

  20. Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization

    Jul 15, 2026Jiaxuan ChengPlasticitySingular Learning Theory

  21. Watermark Forensics for Generative Models: An Information-Theoretic Perspective

    Jul 14, 2026Xiaoyu Li, Zheng Gao, Xiaoyan Feng +3WatermarksMulti-Bit Watermarking

  22. Conservation Laws for Diffusion Models

    Jul 11, 2026Ziv Aharoni, Henry D. PfisterCross-Entropy LossesDiffusion Models

  23. An exact information theory of generalization phase transitions in Bayesian diffusion models

    Jul 9, 2026Henry Hunt, Mason Kamb, Surya GanguliDiffusion ModelsInformation-Theoretic Limits

  24. LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation

    Jul 5, 2026Hongchen Li, Bohao Wang, Jingbang Chen +5RecommendationLarge Language Model Bias

  25. Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation

    Jul 3, 2026Wei Zhang, Lin Tang, Ming Zhao +1Domain AdaptationTraining-Side Stage-Aware Low-Rank Adaptation

  26. Informational Frustration in Neural Manifolds: Shannon Bottlenecks and the Limits of Learnability

    Jun 29, 2026Srinivasa Rao P., Vangmayi P ReddyOverparameterizationLearnability

  27. TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference

    Jun 25, 2026Tinghao Wang, Yichen Guo, Rui Huang +11Visual Token PruningMultimodal Large Language Models

  28. Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective

    Jun 23, 2026Xiaojun Hu, Jing Wang, Jingwen Zhang +5Sequence ModelingLadder

  29. What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis

    Jun 18, 2026Xinghao Chen, Chak Tou Leong, Wenjin Guo +3Efficient Latent ReasoningChain-of-Thought Reasoning

  30. An Information Theoretic Framework for Graph Novelty Generation via Latent Mixture Modeling

    Jun 18, 2026Itsuki Nakagawa, Kenji YamanishiMixture ModelsGenerative Models

  31. Pride and Prejudice: Toward an Information-Theoretic Framework for Mutually Communicative Driver Behavior Modeling

    Jun 15, 2026Tingjun Li, Nan Xu, Shuo Feng +3PersuasionMulti-Agent Reinforcement Learning

  32. The Information-Theoretic Benefit of Shared Representations under Orthogonality Constraints

    Jun 14, 2026Thomas Dittrich, Oliver Potocki, Philipp GrohsMulti--Task LearningInformation-Theoretic Limits

  33. Behavioral Audit of Machine Unlearning Has a Privacy Cost

    Jun 12, 2026Liou Tang, James Joshi, Ashish KunduMachine UnlearningModel Auditing

  34. Recovery thresholds for hidden weighted sparse graphs

    Jun 12, 2026Zhe Hou, Jingcheng LiuInhomogeneous Random GraphsInformation-Theoretic Limits

  35. How Task Structure Limits Multi-Agent Success: An Information-Theoretic Analysis

    Jun 11, 2026Shi Pan, Ming LuoModel-Based Multi-Agent SystemsSingle-Agent

  36. Information-Theoretic Decomposition for Multimodal Interaction Learning

    Jun 10, 2026Zequn Yang, Yake Wei, Haotian Ni +2Multimodal LearningInformation-Theoretic Limits

  37. The Bioelectrical Information Theory: Investigating the theoretical compression limit of bioelectrical signals under artificial intelligence

    Jun 7, 2026Jiawen Zou, Bo YanBrain-Computer InterfaceInformation-Theoretic Limits

  38. The Capacity of Information-Theoretic Secure Aggregation in Federated Learning

    Jun 5, 2026Lanxin Yi, Jinbao Zhu, Kai Wan +1Secure AggregationFederated Learning

  39. InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization

    Jun 4, 2026Xueyang Wu, Siyuan Liu, Kezhuo Yang +1DepressionMental Health

  40. Query-Limited Community Recovery in Stochastic Block Models

    Jun 1, 2026Sabyasachi Basu, Manuj Mukherjee, Lutz Oettershagen +1O(\Bar{K}\Log N)$Subgraphs

  41. Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies

    May 31, 2026Biswajeet Sahoo, Debadutta PatraParametric Physics-Informed Neural NetworkPhysics-Informed Learning

  42. The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs

    May 30, 2026Zihan Chen, Yiming Zhang, Wenxiang Geng +2LLM Reasoning StrategiesProcess Reward Model

  43. Sequential Neural Probabilistic Amplitude Shaping: Learning the Channel's Language

    May 27, 2026Mohammad Taha Askari, Lutz Lampe, Amirhossein GhazisaeidiSource-Channel CodingInformation-Theoretic Limits

  44. From Privacy to Generalization: Linear Max-Information Bounds for Differentially Private Learning Algorithms

    May 25, 2026Christoph H. Lampert, Max Cairney-Leeming, Hossein ZakeriniaStandard Differential-PrivacyGeneralization Bounds

  45. Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model

    May 24, 2026Xindi Tong, Chee Wei Tan, H. Vincent PoorPower AllocationFrequency-Aware Regularization

  46. A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning

    May 19, 2026T. Tony Cai, Yicheng LiFederated LearningFisher Information Matrix