Supervised Deep Similarity Matching. - Shanshan Qin; Nayantara Mudur; Cengiz Pehlevan (CoRR, 2020)

Contrastive Similarity Matching for Supervised Learning. - Shanshan Qin; Nayantara Mudur; Cengiz Pehlevan (Neural Comput., 2021)

Can denoising diffusion probabilistic models generate realistic astrophysical fields? - Nayantara Mudur; Douglas P. Finkbeiner (CoRR, 2022)

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)

Cosmological Field Emulation and Parameter Inference with Diffusion Models. - Nayantara Mudur; Carolina Cuesta-Lázaro; Douglas P. Finkbeiner (CoRR, 2023)

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)

Diffusion-HMC: Parameter Inference with Diffusion Model driven Hamiltonian Monte Carlo. - Nayantara Mudur; Carolina Cuesta-Lázaro; Douglas P. Finkbeiner (CoRR, 2024)

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; et al. (ICLR, 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; et al. (CoRR, 2025)

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability. - Nayantara Mudur; Hao Cui; Subhashini Venugopalan; Paul Raccuglia; Michael P. Brenner; Peter C. Norgaard (CoRR, 2025)