Douglas P. Finkbeiner

According to our database, Douglas P. Finkbeiner authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Diffusion-HMC: Parameter Inference with Diffusion Model driven Hamiltonian Monte Carlo.

Nayantara Mudur, Carolina Cuesta-Lázaro, Douglas P. Finkbeiner

CoRR, 2024

2023

Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms.

Andrew K. Saydjari, Douglas P. Finkbeiner

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Cosmological Field Emulation and Parameter Inference with Diffusion Models.

Nayantara Mudur, Carolina Cuesta-Lázaro, Douglas P. Finkbeiner

CoRR, 2023

Simulation-Based Inference for Exoplanet Atmospheric Retrieval: Insights from Winning the Ariel Data Challenge 2023 Using Normalizing Flows.

Mayeul Aubin, Carolina Cuesta-Lázaro, Ethan Tregidga, Javier Viaña, Cecilia Garraffo, Iouli E. Gordon, Mercedes López-Morales, Robert J. Hargreaves, Vladimir Yu. Makhnev, Jeremy J. Drake, Douglas P. Finkbeiner, Phillip Cargile

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022

Can denoising diffusion probabilistic models generate realistic astrophysical fields?

Nayantara Mudur, Douglas P. Finkbeiner

CoRR, 2022