Siddharth Mishra-Sharma

According to our database, Siddharth Mishra-Sharma authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

spectroxide: A code package for computing cosmic microwave background spectral distortions.

Ethan Baker, Hongwan Liu, Siddharth Mishra-Sharma

CoRR, April, 2026

High-dimensional inference for the γ-ray sky with differentiable programming.

Siddharth Mishra-Sharma, Tracy R. Slatyer, Yitian Sun, Yuqing Wu

CoRR, April, 2026

2025

Auditing language models for hidden objectives.

Samuel Marks, Johannes Treutlein, Trenton Bricken, Jack Lindsey, Jonathan Marcus, Siddharth Mishra-Sharma, Daniel M. Ziegler, Emmanuel Ameisen, Joshua Batson, Tim Belonax, Samuel R. Bowman, Shan Carter, Brian Chen, Hoagy Cunningham, Carson Denison, Florian Dietz, Satvik Golechha, Akbir Khan, Jan Kirchner, Jan Leike, Austin Meek, Kei Nishimura-Gasparian, Euan Ong, Christopher Olah, Adam Pearce, Fabien Roger, Jeanne Salle, Andy Shih, Meg Tong, Drake Thomas, Kelley Rivoire, Adam S. Jermyn, Monte MacDiarmid, Tom Henighan, Evan Hubinger

CoRR, March, 2025

A generative modeling approach to reconstructing 21 cm tomographic data.

Nashwan Sabti, Ram Purandhar Reddy Sudha, Julian B. Muñoz, Siddharth Mishra-Sharma, Taewook Youn

Mach. Learn. Sci. Technol., 2025

Detecting model misspecification in cosmology with scale-dependent normalizing flows.

Aizhan Akhmetzhanova, Carolina Cuesta-Lázaro, Siddharth Mishra-Sharma

Mach. Learn. Sci. Technol., 2025

2024

Hierarchical Neural Simulation-Based Inference Over Event Ensembles.

Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer

Trans. Mach. Learn. Res., 2024

Maven: a multimodal foundation model for supernova science.

Gemma Zhang, Thomas Helfer, Alexander T. Gagliano, Siddharth Mishra-Sharma, V. Ashley Villar

Mach. Learn. Sci. Technol., 2024

A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing.

Julia Balla, Siddharth Mishra-Sharma, Carolina Cuesta-Lázaro, Tommi S. Jaakkola, Tess E. Smidt

CoRR, 2024

How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds.

Tri Nguyen, Francisco Villaescusa-Navarro, Siddharth Mishra-Sharma, Carolina Cuesta-Lázaro, Paul Torrey, Arya Farahi, Alex M. Garcia, Jonah C. Rose, Stephanie O'Neil, Mark Vogelsberger, Xuejian Shen, Cian Roche, Daniel Anglés-Alcázar, Nitya Kallivayalil, Julian B. Muñoz, Francis-Yan Cyr-Racine, Sandip Roy, Lina Necib, Kassidy E. Kollmann

CoRR, 2024

Low-Budget Simulation-Based Inference with Bayesian Neural Networks.

Arnaud Delaunoy, Maxence de la Brassinne Bonardeaux, Siddharth Mishra-Sharma, Gilles Louppe

CoRR, 2024

PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models.

Siddharth Mishra-Sharma, Yiding Song, Jesse Thaler

CoRR, 2024

2023

A point cloud approach to generative modeling for galaxy surveys at the field level.

Carolina Cuesta-Lázaro, Siddharth Mishra-Sharma

CoRR, 2023

Data Compression and Inference in Cosmology with Self-Supervised Machine Learning.

Aizhan Akhmetzhanova, Siddharth Mishra-Sharma, Cora Dvorkin

CoRR, 2023

2022

Inferring dark matter substructure with astrometric lensing beyond the power spectrum.

Siddharth Mishra-Sharma

Mach. Learn. Sci. Technol., 2022

Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation.

Gemma Zhang, Siddharth Mishra-Sharma, Cora Dvorkin

CoRR, 2022

Uncovering dark matter density profiles in dwarf galaxies with graph neural networks.

Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, Lina Necib

CoRR, 2022

Strong Lensing Source Reconstruction Using Continuous Neural Fields.

Siddharth Mishra-Sharma, Ge Yang

CoRR, 2022

Machine Learning and Cosmology.

Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ciprijanovic, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, Francisco Villaescusa-Navarro

CoRR, 2022

2021

A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess.

Siddharth Mishra-Sharma, Kyle Cranmer

CoRR, 2021