Benjamin Kurt Miller

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Molecular Structures

Accurate Estimation

Top Venues

J. Open Source Softw.

Publications

Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood
FlowMM: Generating Materials with Riemannian Flow Matching. CoRR (2024)
Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré
Simulation-based Inference with the Generalized Kullback-Leibler Divergence. CoRR (2023)
Arnaud Delaunoy, Benjamin Kurt Miller, Patrick Forré, Christoph Weniger, Gilles Louppe
Balancing Simulation-based Inference for Conservative Posteriors. CoRR (2023)
Benjamin Kurt Miller, Christoph Weniger, Patrick Forré
Contrastive Neural Ratio Estimation. CoRR (2022)
Benjamin Kurt Miller, Christoph Weniger, Patrick Forré
Contrastive Neural Ratio Estimation. NeurIPS (2022)
Benjamin Kurt Miller, Alex Cole, Christoph Weniger, Francesco Nattino, Ou Ku, Meiert W. Grootes
swyft: Truncated Marginal Neural Ratio Estimation in Python. J. Open Source Softw. 7 (75) (2022)
Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
Generative Coarse-Graining of Molecular Conformations. ICML (2022)
Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
Generative Coarse-Graining of Molecular Conformations. CoRR (2022)
Benjamin Kurt Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger
Truncated Marginal Neural Ratio Estimation. NeurIPS (2021)
Christoph J. Hönes, Benjamin Kurt Miller, Ana M. Heras, Bernard H. Foing
Automatically detecting anomalous exoplanet transits. CoRR (2021)
Alex Cole, Benjamin Kurt Miller, Samuel J. Witte, Maxwell X. Cai, Meiert W. Grootes, Francesco Nattino, Christoph Weniger
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation. CoRR (2021)
Benjamin Kurt Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger
Truncated Marginal Neural Ratio Estimation. CoRR (2021)
Benjamin Kurt Miller, Mario Geiger, Tess E. Smidt, Frank Noé
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties. CoRR (2020)
Benjamin Kurt Miller, Alex Cole, Gilles Louppe, Christoph Weniger
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time. CoRR (2020)
Tess E. Smidt, Mario Geiger, Benjamin Kurt Miller
Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks. CoRR (2020)