smsharma/awesome-neural-sbi smsharma/awesome-neural-sbi

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smsharma/awesome-neural-sbi
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Repository Details

Community-sourced list of papers and resources on neural simulation-based inference.

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minified-generative-models

Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
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sbi-lecture-mit

Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
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4

mining-for-substructure-lens

Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/abs/1909.02005.
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5

point-cloud-galaxy-diffusion

Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141
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eqnn-jax

Annotated implementations of equivariant graph neural networks in Jax: EGNN, SEGNN, NequIP.
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consistency-models

Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.
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hierarchical-inference

Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
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lensing-neural-fields

Implicit neural representations for strong lensing source reconstruction. Code repository associated with https://arxiv.org/abs/2206.14820.
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10

PAPERCLIP-Hubble

Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851 (COLM 2023).
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11

jax-conditional-flows

Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
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12

GPSphere

Basic Gaussian processes on a sphere. Written at the Gaia Sprint 2019 (KITP).
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13

phd-thesis

Princeton Ph.D. dissertation, defended August 2018.
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14

fermi-gce-flows

Simulation-based inference for the Galactic Center gamma-ray excess. Code repository associated with https://arxiv.org/abs/2110.06931.
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15

deep-prob-prog-tutorials

Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.
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16

gamma-gp

Proof-of-principle application of Gaussian process modeling to gamma-ray analyses. Code repository associated with the paper https://arxiv.org/abs/2010.10450.
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17

eft-hod

Simulation-based priors connecting EFT of large-scale structure and halo occupation distribution (HOD) models.
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18

ChatJesseT

A cybernetic physicist sent back in time to fuse techniques from quantum field theory and machine learning. April Fools' 2023.
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19

neural-global-astrometry

Neural likelihood-ratio estimation for global astrometric lensing. Code repository associated with https://arxiv.org/abs/2110.01620.
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20

iaifi-hackathon-2024

Starter notebooks for self-supervised/multimodal machine learning and neural simulation-based inference, for the 2024 IAIFI Astro Hackathon.
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4
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21

semi-visible-jets

Models and event generation for semi-visible jets. Code repository associated with the paper https://arxiv.org/abs/1707.05326.
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22

dark-photons-perturbations

Dark photon conversions in our inhomogeneous Universe. Code repository associated with the papers https://arxiv.org/abs/2002.05165 and https://arxiv.org/abs/2004.06733.
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23

edges-endpoints-21cm

Studying the effects of resonant photon injection in 21-cm observations. Code repository associated with the paper https://arxiv.org/abs/2009.03899.
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24

jet-setting

Set-based generative modeling of particle jets using continuous normalizing flows.
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25

prob-prog-8.S50-tutorial

A tutorial introducing probabilistic programming with Pyro for the MIT IAP Course 8.S50: Computational Data Science in Physics
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26

smsharma

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generative-spectra-lightcurves

p(spectra|light curves)
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28

smsharma.github.io

Source for my personal Jekyll-powered website, www.smsharma.io.
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29

neural-conservation-laws

Some quick checks from the paper Neural Conservation Laws: A Divergence-Free Perspective (NeurIPS 2022).
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30

astrometry-lensing-correlations

Angular power spectra for astrometric weak lensing. Code repository associated with the paper https://arxiv.org/abs/2003.02264.
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