Elamur Research⌕
☰
home / venues / NeurIPS / 2025 / papers / page 39

NeurIPS 2025: all accepted papers

5,819 papers · page 39 of 59 · the most cited first · ← NeurIPS 2025

1 … 30 … 38 39 40 … 59

  1. Kinaema: a recurrent sequence model for memory and pose in motion ↗Mert Bülent Sarıyıldız, Philippe Weinzaepfel, Guillaume Bono et al.
  2. Kinetics: Rethinking Test-Time Scaling Law ↗Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng et al.
  3. Knee-Deep in C-RASP: A Transformer Depth Hierarchy ↗Andy J Yang, Michaël Cadilhac, David Chiang
  4. Know What You Don't Know: Uncertainty Calibration of Process Reward Models ↗Young‐Jin Park, Kristjan H. Greenewald, Kaveh Alim et al.
  5. Knowledge Distillation Detection for Open-weights Models ↗Qin Shi, Amber Yijia Zheng, Qifan Song et al.
  6. Kuramoto Orientation Diffusion Models ↗Yue Song, T. Anderson Keller, Sevan Brodjian et al.
  7. LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits ↗Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin et al.
  8. LLM Layers Immediately Correct Each Other ↗Arjun Patrawala, Jiahai Feng, Erik Jones et al.
  9. LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation ↗Subhojyoti Khastagir, Kishalay Das, Pawan Goyal et al.
  10. LLM Safety Alignment is Divergence Estimation in Disguise ↗Rajdeep Haldar, Ziyi Wang, Guang Lin et al.
  11. LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups ↗Masih Aminbeidokhti, Subhankar Roy, Eric Granger et al.
  12. Latency NMS Attacks: Is It Real Life or Is It Just Fantasy? ↗Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
  13. Latent Principle Discovery for Language Model Self-Improvement ↗Keshav Ramji, Tahira Naseem, Ramón Fernández Astudillo
  14. Latent Retrieval Augmented Generation of Cross-Domain Protein Binders ↗Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.
  15. Learning (Approximately) Equivariant Networks via Constrained Optimization ↗Andrei Manolache, Luiz F. O. Chamon, Mathias Niepert
  16. Learning Counterfactual Outcomes Under Rank Preservation ↗Peng Wu, Haoxuan Li, Chunyuan Zheng et al.
  17. Learning Interestingness in Automated Mathematical Theory Formation ↗George Tsoukalas, Rahul Saha, Amitayush Thakur et al.
  18. Learning Juntas under Markov Random Fields ↗Gautam Chandrasekaran, Adam R. Klivans
  19. Learning Parameterized Skills from Demonstrations ↗Vedant Gupta, Haotian Fu, Calvin Luo et al.
  20. Learning Shared Representations from Unpaired Data ↗Amitai Yacobi, Nir Ben-Ari, Ronen Talmon et al.
  21. Learning Spatial-Aware Manipulation Ordering ↗Yuxiang Yan, Zhiyuan Zhou, Xin Gao et al.
  22. Learning Stochastic Multiscale Models ↗Andrew F. Ilersich, Prasanth B. Nair
  23. Learning Task-Agnostic Representations through Multi-Teacher Distillation ↗Philippe Formont, Maxime Darrin, Banafsheh Karimian et al.
  24. Learning Theory for Kernel Bilevel Optimization ↗Fares El Khoury, Edouard Pauwels, Samuel Vaiter et al.

1 … 30 … 38 39 40 … 59

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/39/