3 papers
cs.CL2026
Efficient Learned Data Compression via Dual-Stream Feature Decoupling
Huidong Ma, Xinyan Shi, Hui Sun +4
While Learned Data Compression (LDC) has achieved superior compression ratios, balancing precise probability modeling with system efficiency remains challenging. Crucially, uniform…
cs.LG2026
Dimensional Peeking for Low-Variance Gradients in Zeroth-Order Discrete Optimization via Simulation
Philipp Andelfinger, Wentong Cai
Gradient-based optimization methods are commonly used to identify local optima in high-dimensional spaces. When derivatives cannot be evaluated directly, stochastic estimators can…
cs.AI2026
AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent
Sun Hui, Ding Yanfeng, Huidong Ma +7
Lossless compression has made significant advancements in Genomics Data (GD) storage, sharing and management. Current learning-based methods are non-evolvable with problems of low-…