Siddharth Mishra-Sharma

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
A generative modeling approach to reconstructing 21 cm tomographic data.
Mach. Learn. Sci. Technol.
Nashwan Sabti, Ram Purandhar Reddy Sudha, Julian B. Muñoz, Siddharth Mishra-Sharma, Taewook Youn
2025 J jnl
Auditing language models for hidden objectives.
CoRR
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
2025 J jnl
Detecting Model Misspecification in Cosmology with Scale-Dependent Normalizing Flows.
CoRR
Aizhan Akhmetzhanova, Carolina Cuesta-Lázaro, Siddharth Mishra-Sharma
2025 J jnl
Detecting model misspecification in cosmology with scale-dependent normalizing flows.
Mach. Learn. Sci. Technol.
Aizhan Akhmetzhanova, Carolina Cuesta-Lázaro, Siddharth Mishra-Sharma
2024 J jnl
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing.
CoRR
Julia Balla, Siddharth Mishra-Sharma, Carolina Cuesta-Lázaro, Tommi S. Jaakkola, Tess E. Smidt
2024 J jnl
Hierarchical Neural Simulation-Based Inference Over Event Ensembles.
Trans. Mach. Learn. Res.
Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer
2024 J jnl
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds.
CoRR
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
2024 J jnl
Low-Budget Simulation-Based Inference with Bayesian Neural Networks.
CoRR
Arnaud Delaunoy, Maxence de la Brassinne Bonardeaux, Siddharth Mishra-Sharma, Gilles Louppe
2024 J jnl
Maven: A Multimodal Foundation Model for Supernova Science.
CoRR
Gemma Zhang, Thomas Helfer, Alexander T. Gagliano, Siddharth Mishra-Sharma, V. Ashley Villar
2024 J jnl
Maven: a multimodal foundation model for supernova science.
Mach. Learn. Sci. Technol.
Gemma Zhang, Thomas Helfer, Alexander T. Gagliano, Siddharth Mishra-Sharma, V. Ashley Villar
2024 J jnl
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models.
CoRR
Siddharth Mishra-Sharma, Yiding Song, Jesse Thaler
2023 J jnl
A point cloud approach to generative modeling for galaxy surveys at the field level.
CoRR
Carolina Cuesta-Lázaro, Siddharth Mishra-Sharma
2023 J jnl
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning.
CoRR
Aizhan Akhmetzhanova, Siddharth Mishra-Sharma, Cora Dvorkin
2023 J jnl
Hierarchical Neural Simulation-Based Inference Over Event Ensembles.
CoRR
Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer
2022 J jnl
Inferring dark matter substructure with astrometric lensing beyond the power spectrum.
Mach. Learn. Sci. Technol.
Siddharth Mishra-Sharma
2022 J jnl
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation.
CoRR
Gemma Zhang, Siddharth Mishra-Sharma, Cora Dvorkin
2022 J jnl
Machine Learning and Cosmology.
CoRR
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
2022 J jnl
Strong Lensing Source Reconstruction Using Continuous Neural Fields.
CoRR
Siddharth Mishra-Sharma, Ge Yang
2022 J jnl
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks.
CoRR
Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, Lina Necib
2021 J jnl
A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess.
CoRR
Siddharth Mishra-Sharma, Kyle Cranmer
2021 J jnl
Inferring dark matter substructure with astrometric lensing beyond the power spectrum.
CoRR
Siddharth Mishra-Sharma