Lossless Compression via Chained Lightweight Neural Predictors with Information Inheritance
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Yuriy, Belyaev, Evgeny |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling
by: Kim, Yuriy, et al.
Published: (2025)
by: Kim, Yuriy, et al.
Published: (2025)
Lossless and Near-Lossless Compression for Foundation Models
by: Hershcovitch, Moshik, et al.
Published: (2024)
by: Hershcovitch, Moshik, et al.
Published: (2024)
ZipNN: Lossless Compression for AI Models
by: Hershcovitch, Moshik, et al.
Published: (2024)
by: Hershcovitch, Moshik, et al.
Published: (2024)
AlphaZip: Neural Network-Enhanced Lossless Text Compression
by: Narashiman, Swathi Shree, et al.
Published: (2024)
by: Narashiman, Swathi Shree, et al.
Published: (2024)
Quad Length Codes for Lossless Compression of e4m3
by: Agrawal, Aditya, et al.
Published: (2026)
by: Agrawal, Aditya, et al.
Published: (2026)
OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data
by: Zhao, Yan, et al.
Published: (2026)
by: Zhao, Yan, et al.
Published: (2026)
StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing
by: Tacconelli, Roberto
Published: (2026)
by: Tacconelli, Roberto
Published: (2026)
Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
by: Patel, Niket, et al.
Published: (2024)
by: Patel, Niket, et al.
Published: (2024)
eOptShrinkQ: Near-Lossless KV Cache Compression Through Optimal Spectral Denoising and Quantization
by: Su, Pei-Chun
Published: (2026)
by: Su, Pei-Chun
Published: (2026)
Property Inheritance for Subtensors in Tensor Train Decompositions
by: Cai, HanQin, et al.
Published: (2025)
by: Cai, HanQin, et al.
Published: (2025)
Lossless Image Compression Using Multi-level Dictionaries: Binary Images
by: Agnihotri, Samar, et al.
Published: (2024)
by: Agnihotri, Samar, et al.
Published: (2024)
Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks
by: Zhang, Shihao, et al.
Published: (2025)
by: Zhang, Shihao, et al.
Published: (2025)
Data-dependent Generalization Bounds via Variable-Size Compressibility
by: Sefidgaran, Milad, et al.
Published: (2023)
by: Sefidgaran, Milad, et al.
Published: (2023)
Cross-Domain Lossy Compression via Constrained Minimum Entropy Coupling
by: Nguyen, Nam, et al.
Published: (2026)
by: Nguyen, Nam, et al.
Published: (2026)
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
by: Wang, Weiqi, et al.
Published: (2026)
by: Wang, Weiqi, et al.
Published: (2026)
An Information-Theoretic Approach to Understanding Transformers' In-Context Learning of Variable-Order Markov Chains
by: Zhou, Ruida, et al.
Published: (2024)
by: Zhou, Ruida, et al.
Published: (2024)
EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow
by: Lu, Zeyi, et al.
Published: (2025)
by: Lu, Zeyi, et al.
Published: (2025)
Context Steering: A New Paradigm for Compression-based Embeddings by Synthesizing Relevant Information Features
by: Sarasa, Guillermo, et al.
Published: (2025)
by: Sarasa, Guillermo, et al.
Published: (2025)
Neural Window Decoder for SC-LDPC Codes
by: Yun, Dae-Young, et al.
Published: (2024)
by: Yun, Dae-Young, et al.
Published: (2024)
A Neural Difference-of-Entropies Estimator for Mutual Information
by: Ni, Haoran, et al.
Published: (2025)
by: Ni, Haoran, et al.
Published: (2025)
Information-Theoretic Generalization Bounds for Deep Neural Networks
by: He, Haiyun, et al.
Published: (2024)
by: He, Haiyun, et al.
Published: (2024)
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
by: Rosenberger, Hans, et al.
Published: (2025)
by: Rosenberger, Hans, et al.
Published: (2025)
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)
Neural Distributed Source Coding
by: Whang, Jay, et al.
Published: (2021)
by: Whang, Jay, et al.
Published: (2021)
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
by: Lei, Eric, et al.
Published: (2024)
by: Lei, Eric, et al.
Published: (2024)
Interpretability as Compression: Reconsidering SAE Explanations of Neural Activations with MDL-SAEs
by: Ayonrinde, Kola, et al.
Published: (2024)
by: Ayonrinde, Kola, et al.
Published: (2024)
Code Rate Optimization via Neural Polar Decoders
by: Aharoni, Ziv, et al.
Published: (2025)
by: Aharoni, Ziv, et al.
Published: (2025)
Information-Theoretic Limits of Quantum Learning via Data Compression
by: Angrisani, Armando, et al.
Published: (2021)
by: Angrisani, Armando, et al.
Published: (2021)
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
by: Severo, Daniel, et al.
Published: (2025)
by: Severo, Daniel, et al.
Published: (2025)
Exploration-Exploitation Tradeoff in Universal Lossy Compression
by: Weinberger, Nir, et al.
Published: (2025)
by: Weinberger, Nir, et al.
Published: (2025)
Application of Deep Learning in Biological Data Compression
by: Zou, Chunyu
Published: (2025)
by: Zou, Chunyu
Published: (2025)
Covariance Matrix Construction with Preprocessing-Based Spatial Sampling for Robust Adaptive Beamforming
by: Mohammadzadeh, Saeed, et al.
Published: (2025)
by: Mohammadzadeh, Saeed, et al.
Published: (2025)
FibQuant: Universal Vector Quantization for Random-Access KV-Cache Compression
by: Lee, Namyoon, et al.
Published: (2026)
by: Lee, Namyoon, et al.
Published: (2026)
Structure Learning via Mutual Information
by: Nixon, Jeremy
Published: (2024)
by: Nixon, Jeremy
Published: (2024)
Agnostic Sample Compression Schemes for Regression
by: Attias, Idan, et al.
Published: (2018)
by: Attias, Idan, et al.
Published: (2018)
Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression
by: Kim, Munsik
Published: (2026)
by: Kim, Munsik
Published: (2026)
Fundamental Limits of CSI Compression in FDD Massive MIMO
by: Park, Bumsu, et al.
Published: (2026)
by: Park, Bumsu, et al.
Published: (2026)
Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
by: Phan, Buu, et al.
Published: (2025)
by: Phan, Buu, et al.
Published: (2025)
Matrix Completion via Nonsmooth Regularization of Fully Connected Neural Networks
by: Faramarzi, Sajad, et al.
Published: (2024)
by: Faramarzi, Sajad, et al.
Published: (2024)
Generalization Bounds via Conditional $f$-Information
by: Wang, Ziqiao, et al.
Published: (2024)
by: Wang, Ziqiao, et al.
Published: (2024)
Similar Items
-
An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling
by: Kim, Yuriy, et al.
Published: (2025) -
Lossless and Near-Lossless Compression for Foundation Models
by: Hershcovitch, Moshik, et al.
Published: (2024) -
ZipNN: Lossless Compression for AI Models
by: Hershcovitch, Moshik, et al.
Published: (2024) -
AlphaZip: Neural Network-Enhanced Lossless Text Compression
by: Narashiman, Swathi Shree, et al.
Published: (2024) -
Quad Length Codes for Lossless Compression of e4m3
by: Agrawal, Aditya, et al.
Published: (2026)