Know What You Don't Know: Uncertainty Calibration of Process Reward Models
- Young Jin Park
- Kristjan Greenewald
- et al.
- 2025
- NeurIPS 2025
Publications
52 results for Kristjan Greenewald
Activated LoRA: Fine-tuned LLMs for Intrinsics
- Kristjan Greenewald
- Luis Lastras
- et al.
- 2025
- NeurIPS 2025
SYNTHETIC CENSUS DATA GENERATION VIA MULTIDIMENSIONAL MULTISET SUM
- Cynthia Dwork
- Kristjan Greenewald
- et al.
- 2025
- JPC
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
- Rickard Gabrielsson
- Jiacheng Zhu
- et al.
- 2025
- ICML 2025
Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry
- Zhengxin Zhang
- Ziv Goldfeld
- et al.
- 2025
- Foundations of Computational Mathematics
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
- Anming Gu
- Edward Chien
- et al.
- 2025
- ICLR 2025
PARTIALLY OBSERVED TRAJECTORY INFERENCE USING OPTIMAL TRANSPORT AND A DYNAMICS PRIOR
- Anming Gu
- Edward Chien
- et al.
- 2025
- ICLR 2025
Domain Adaptable Prescriptive AI Agent for Enterprise
- Piero Orderique
- Wei Sun
- et al.
- 2025
- AAAI 2025
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
- Kristjan Greenewald
- Yuancheng Yu
- et al.
- 2024
- NeurIPS 2024