Nayantara Mudur

According to our database, Nayantara Mudur authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability.

Nayantara Mudur, Hao Cui, Subhashini Venugopalan, Paul Raccuglia, Michael P. Brenner, Peter C. Norgaard

CoRR, April, 2025

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning.

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter C. Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean Phing VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael P. Brenner, Viren Jain, Sameera S. Ponda, Subhashini Venugopalan

CoRR, March, 2025

CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning.

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Christian Norgaard, Nayantara Mudur, Martyna Beata Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Diffusion-HMC: Parameter Inference with Diffusion Model driven Hamiltonian Monte Carlo.

Nayantara Mudur, Carolina Cuesta-Lázaro, Douglas P. Finkbeiner

CoRR, 2024

Quantum Many-Body Physics Calculations with Large Language Models.

Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim

CoRR, 2024

2023

Cosmological Field Emulation and Parameter Inference with Diffusion Models.

Nayantara Mudur, Carolina Cuesta-Lázaro, Douglas P. Finkbeiner

CoRR, 2023

Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models.

Core Francisco Park, Victoria Ono, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lázaro

CoRR, 2023

2022

Can denoising diffusion probabilistic models generate realistic astrophysical fields?

Nayantara Mudur, Douglas P. Finkbeiner

CoRR, 2022

2021

Contrastive Similarity Matching for Supervised Learning.

Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan

Neural Comput., 2021

2020

Supervised Deep Similarity Matching.

Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan

CoRR, 2020