Cover Image

Application of Deep Learning in Biological Data Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Zou, Chunyu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
by: Patel, Niket, et al.
Published: (2024)

Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks
by: Zhang, Shihao, et al.
Published: (2025)

Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
by: Termehchi, Atefeh, et al.
Published: (2025)

dreaMLearning: Data Compression Assisted Machine Learning
by: Zhao, Xiaobo, et al.
Published: (2025)

Data-dependent Generalization Bounds via Variable-Size Compressibility
by: Sefidgaran, Milad, et al.
Published: (2023)

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
by: Kögler, Kevin, et al.
Published: (2024)

Efficient Learned Data Compression via Dual-Stream Feature Decoupling
by: Ma, Huidong, et al.
Published: (2026)

Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency
by: Dai, Jincheng, et al.
Published: (2024)

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions
by: Kirsch, Andreas
Published: (2024)

The Generalization Error of Supervised Machine Learning Algorithms
by: Perlaza, Samir M., et al.
Published: (2024)

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
by: Liu, Jinxin, et al.
Published: (2024)

DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
by: Hebbar, S Ashwin, et al.
Published: (2024)

A Generalized Information Bottleneck Theory of Deep Learning
by: Westphal, Charles, et al.
Published: (2025)

Continual Deep Reinforcement Learning for Decentralized Satellite Routing
by: Lozano-Cuadra, Federico, et al.
Published: (2024)

Theory of Minimal Weight Perturbations in Deep Networks and its Applications for Low-Rank Activated Backdoor Attacks
by: Evans, Bethan, et al.
Published: (2026)

Learning Causality for Longitudinal Data
by: Bouchattaoui, Mouad EL
Published: (2025)

Exploration-Exploitation Tradeoff in Universal Lossy Compression
by: Weinberger, Nir, 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)

Information-Theoretic Limits of Quantum Learning via Data Compression
by: Angrisani, Armando, et al.
Published: (2021)

Agnostic Sample Compression Schemes for Regression
by: Attias, Idan, et al.
Published: (2018)

Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing
by: Lozano-Cuadra, Federico, et al.
Published: (2024)

Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
by: Phan, Buu, et al.
Published: (2025)

Fundamental Limits of CSI Compression in FDD Massive MIMO
by: Park, Bumsu, et al.
Published: (2026)

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
by: Yu, Shujian, et al.
Published: (2023)

Robust Millimeter Beamforming via Self-Supervised Hybrid Deep Learning
by: Zhu, Fenghao, et al.
Published: (2023)

Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment
by: Yang, Yi-Jen, et al.
Published: (2024)

On Self-Adaptive Perception Loss Function for Sequential Lossy Compression
by: Salehkalaibar, Sadaf, et al.
Published: (2025)

The Maximum von Neumann Entropy Principle: Theory and Applications in Machine Learning
by: Wu, Youqi, et al.
Published: (2026)

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
by: Thi-Thanh, Tam Ninh, et al.
Published: (2025)

Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels
by: Ma, Guochen, et al.
Published: (2024)

Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
by: Reifert, Robert-Jeron, et al.
Published: (2024)

GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
by: Talli, Pietro, et al.
Published: (2026)

Lossless Compression via Chained Lightweight Neural Predictors with Information Inheritance
by: Kim, Yuriy, et al.
Published: (2026)

Cross-Domain Lossy Compression via Constrained Minimum Entropy Coupling
by: Nguyen, Nam, et al.
Published: (2026)

Quad Length Codes for Lossless Compression of e4m3
by: Agrawal, Aditya, et al.
Published: (2026)

Decoding for Punctured Convolutional and Turbo Codes: A Deep Learning Solution for Protocols Compliance
by: Yan, Yongli, et al.
Published: (2025)

Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization
by: Borzechowski, Florian, et al.
Published: (2025)

Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
by: Termehchi, Atefeh, et al.
Published: (2024)

Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation
by: Tacconelli, Roberto
Published: (2026)