Siavash Golkar

Research Scientist, New York University

2 papers at NeurIPS 2025

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Poster Session 4

Thursday, December 4, 2025 · 4:30 PM → 7:30 PM

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

#2213 · Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles Cranmer, Siavash Golkar, OLEXANDR GUGNIN, Geraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Thibaut Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K.D. Leka, Francois Lanusse, David Fouhey, Shirley Ho

We tackle prediction of partially observable systems with a multiscale inference scheme for diffusion models, improving accuracy and stability on solar dynamics without increasing computational cost.

Poster Session 5

1 paper

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

AION-1: Omnimodal Foundation Model for Astronomical Sciences

#2200 · Liam Holden Parker, Francois Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Thibaut Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Geraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Kyunghyun Cho, Miles Cranmer, Shirley Ho

The first large-scale multimodal foundation model for astronomy integrating a large number of diverse observational modalities.