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Siddharth Mishra-Sharma
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2020 – today
- 2024
- [j2]Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer:
Hierarchical Neural Simulation-Based Inference Over Event Ensembles. Trans. Mach. Learn. Res. 2024 (2024) - [i14]Siddharth Mishra-Sharma, Yiding Song, Jesse Thaler:
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models. CoRR abs/2403.08851 (2024) - [i13]Arnaud Delaunoy, Maxence de la Brassinne Bonardeaux, Siddharth Mishra-Sharma, Gilles Louppe:
Low-Budget Simulation-Based Inference with Bayesian Neural Networks. CoRR abs/2408.15136 (2024) - [i12]Gemma Zhang, Thomas Helfer, Alexander T. Gagliano, Siddharth Mishra-Sharma, V. Ashley Villar:
Maven: A Multimodal Foundation Model for Supernova Science. CoRR abs/2408.16829 (2024) - [i11]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:
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds. CoRR abs/2409.02980 (2024) - [i10]Julia Balla, Siddharth Mishra-Sharma, Carolina Cuesta-Lázaro, Tommi S. Jaakkola, Tess E. Smidt:
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing. CoRR abs/2410.20516 (2024) - 2023
- [i9]Lukas Heinrich
, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer:
Hierarchical Neural Simulation-Based Inference Over Event Ensembles. CoRR abs/2306.12584 (2023) - [i8]Aizhan Akhmetzhanova
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning. CoRR abs/2308.09751 (2023) - [i7]Carolina Cuesta-Lázaro, Siddharth Mishra-Sharma:
A point cloud approach to generative modeling for galaxy surveys at the field level. CoRR abs/2311.17141 (2023) - 2022
- [j1]Siddharth Mishra-Sharma
Inferring dark matter substructure with astrometric lensing beyond the power spectrum. Mach. Learn. Sci. Technol. 3(1): 01 (2022) - [i6]Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord
Machine Learning and Cosmology. CoRR abs/2203.08056 (2022) - [i5]Siddharth Mishra-Sharma, Ge Yang:
Strong Lensing Source Reconstruction Using Continuous Neural Fields. CoRR abs/2206.14820 (2022) - [i4]Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, Lina Necib:
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks. CoRR abs/2208.12825 (2022) - [i3]Gemma Zhang, Siddharth Mishra-Sharma, Cora Dvorkin:
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation. CoRR abs/2208.13796 (2022) - 2021
- [i2]Siddharth Mishra-Sharma
Inferring dark matter substructure with astrometric lensing beyond the power spectrum. CoRR abs/2110.01620 (2021) - [i1]Siddharth Mishra-Sharma
A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess. CoRR abs/2110.06931 (2021)
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