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
10
current page
Top radar
69
http://arxiv.org/abs/2610.03710v1
Code links
0
on this page
| Paper | Authors | arXiv ID | Categories | Published | Code | Radar | Summary |
|---|---|---|---|---|---|---|---|
| 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... |
| Broken scale symmetries in undercomplete linear autoencoders | Farhad Pashakhanloo, Jacob A. Zavatone-Veth | http://arxiv.org/abs/2610.03640v1 | cs.LG, q-bio.NC | Oct 2, 2026 | None | Score72 | Neural network loss landscapes have many symmetries, which are preserved by gradient flow but... |
| 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... |
| When May a Bandit Leave Its Anchor? E-Process-Authorized Thompson Sampling under Non-stationarity | Mayand Gulati, Kerong Wang, WeiChen Au | http://arxiv.org/abs/2610.03646v1 | cs.LG, stat.ML | Oct 2, 2026 | None | Score61 | Stationarity rewards memory, but after a change the same history can mislead. We ask when for... |
| On the Convergence of Success Conditioning for Policy Optimization | Matthew Brun, Xu Andy Sun | http://arxiv.org/abs/2610.03642v1 | cs.LG, math.OC | Oct 2, 2026 | None | Score61 | Success conditioning is a strategy for improving decision-making policies in stochastic envir... |
| 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... |