most citedUniversal Time-Series Representation Learning: A Survey

8 citations

9 papers

cs.IT2026

Demand-Aware Cooperative Transmission Design for Energy-Efficient LEO Satellite Networks

Wooseok Cha, Kyeongsoo Kim, Seonghoon Kim +2

Low Earth orbit (LEO) satellite networks are envisioned as a promising solution for providing ubiquitous connectivity and narrowing the digital divide. The extensive footprint of L…

cs.CV20261 cited

Splat-based 3D Scene Reconstruction with Extreme Motion-blur

Hyeonjoong Jang, Dongyoung Choi, Donggun Kim +2

We propose a splat-based 3D scene reconstruction method from RGB-D input that effectively handles extreme motion blur, a frequent challenge in low-light environments. Under dim ill…

q-bio.QM2026

MOSAIC: Codon Harmonization of Monte Carlo-Based Simulated Annealing for Linked Codons in Heterologous Protein Expression

Yoonho Jeong, Chengcheng Yang, Ryan Fernandez Medina Hariri +6

Codon usage bias has a crucial impact on the translation efficiency and co-translational folding of proteins, necessitating the algorithmic development of codon optimization/harmon…

cs.CV2026

EgoGapBench: Benchmarking Egocentric Action Selection in Multi-Agent Scenes

Jihyeok Jung, Jeewu Lee, Sanghyeop Kim +2

Existing egocentric benchmarks have primarily constructed the egocentric setting from first-person-view data, which makes it difficult to evaluate egocentric perspective itself in…

cs.CV2026

ProtoKV: Streaming Video Understanding under Delayed Query with Summary-State Memory

Le Tu Ngoc Minh, Jinyeong Lim, Dongsu Han

Streaming video understanding (SVU) must answer queries that arrive asynchronously while visual tokens stream continuously under strict GPU-memory and query-time latency budgets. A…

math.OC20264 cited

Stochastic Sign Descent Methods: New Algorithms and Better Theory

Mher Safaryan, Peter Richtárik

Various gradient compression schemes have been proposed to mitigate the communication cost in distributed training of large scale machine learning models. Sign-based methods, such…