Publications

Transformers Learn Faster with Semantic Focus
- - Parikshit Ram
  - Kenneth Clarkson
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
- - Isha Puri
  - Shivchander Sudalairaj
  - et al.
- 2025
- NeurIPS 2025
Conference paper
LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
- - Wanhua Li
  - Yujie Zhao
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Causally Reliable Concept Bottleneck Models
- - Giovanni De Felice
  - Arianna Casanova Flores
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Predictability Enables Parallelization of Nonlinear State Space Models
- - Xavier Gonzalez
  - Leo Kozachkov
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Enhancing UV Spectral Prediction through Auxiliary Task, Curriculum Learning, and Curvature Limitation
- - Hajime Shinohara
  - Akihiro Kishimoto
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Latent Principle Discovery for Language Model Self-Improvement
- - Keshav Ramji
  - Tahira Naseem
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
- - Ziqi Yuan
  - Haoyang Zhang
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Towards Understanding Camera Motions in Any Video
- - Zhiqiu Lin
  - Siyuan Cen
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Know What You Don't Know: Uncertainty Calibration of Process Reward Models
- - Young Jin Park
  - Kristjan Greenewald
  - et al.
- 2025
- NeurIPS 2025
Conference paper