Siddharth Mishra-Sharma

According to our database, Siddharth Mishra-Sharma authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Hierarchical Neural Simulation-Based Inference Over Event Ensembles.

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

Trans. Mach. Learn. Res., 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

Maven: A Multimodal Foundation Model for Supernova Science.

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

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