Research radar

arXiv preprints, filtered for developer impact.

Concise summaries of new AI papers, ranked for how likely they are to change how production systems are built. arXiv collection remains rate-limited.

Papers tracked

3,367

matching records

Shown

current page

Top radar

http://arxiv.org/abs/2610.03667v1

Code links

on this page

Paper	Authors	arXiv ID	Categories	Published	Code	Radar	Summary
Planning to Learn	Ian Osband	http://arxiv.org/abs/2610.03667v1	cs.LG, math.OC	Oct 2, 2026	None	Score62	Policy-gradient methods are central to modern reinforcement learning, including LLM post-trai...
Revisiting Input Time-frequency Representations in Multi-pitch Estimation for Vocal Ensembles	Junyoung Koh, Hao-Wen Dong	http://arxiv.org/abs/2610.03656v1	cs.SD, cs.AI	Oct 2, 2026	None	Score62	Multi-pitch estimation in vocal ensembles is challenging because singers occupy overlapping p...
S2PD: Serial-to-Parallel Diffusion for Physically and Logically Consistent Video Generation	Jeffrey Hu, Daniel Olmeda Reino, Ayush Tewari	http://arxiv.org/abs/2610.06847v1	cs.CV	Oct 5, 2026	None	Score61	Bidirectional video diffusion models denoise entire videos in parallel, yet when trained on e...
EyeRobot 2.0: Active Gaze for Precise Manipulation without Wrist Cameras	Kush Hari, Justin Kerr, Nidhya Shivakumar	http://arxiv.org/abs/2610.03710v1	cs.RO, cs.AI	Oct 2, 2026	None	Score69	Inspired by human vision, we introduce a framework using active gaze to enable fine-grained b...
H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning	Wancong Zhang, Basile Terver, Michael Rabbat	http://arxiv.org/abs/2610.06805v1	cs.LG, cs.RO	Oct 5, 2026	None	Score63	Long-horizon planning with latent world models requires reasoning across timescales and level...
Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning	Chen Henry Wu, Thomas Zhang, Aditi Raghunathan	http://arxiv.org/abs/2610.05872v1	cs.LG, cs.AI	Oct 5, 2026	None	Score65	A long-standing goal of AI is a model that can continually learn and improve itself. On post-...
On the Sequentially Semiseparable Structure of SDE-Induced Kernels and Efficient Algorithms for Kernel-Based Estimation Problems	Mikkel Paltorp, Luigi Caglio, Tianshi Chen	http://arxiv.org/abs/2610.05856v1	stat.ML, math.NA	Oct 5, 2026	None	Score62	We study kernel functions induced by a linear time-invariant (LTI) stochastic differential eq...
Feature identification for parameter extraction and defect detection using machine learning	Yan Guo, Helda Pahlavani, Artem Khachaturiants	http://arxiv.org/abs/2610.05812v1	cs.LG	Oct 5, 2026	None	Score64	Process control of advanced semiconductor nodes is not only pushing the limits of metrology e...
Transporting Unsecured Stacked Payloads with a Quadrupedal Robot via Multi-Objective Reinforcement Learning	Nobuo Namura, Masayuki Hiromoto, Kento Uemura	http://arxiv.org/abs/2610.05819v1	cs.RO, cs.LG	Oct 5, 2026	None	Score64	Transporting unsecured payloads with legged robots over uneven terrain requires balancing loc...
Private online learning and prediction for Littlestone classes	Amartya Sanyal	http://arxiv.org/abs/2610.06822v1	cs.LG, cs.CR	Oct 5, 2026	None	Score64	We study mistake bounds for differentially private online learning and online prediction unde...