Miller, Benjamin Kurt

11 publications

ICLR 2026 Enhancing Diffusion-Based Sampling with Molecular Collective Variables Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gomez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller

TMLR 2026 Generalizing Coverage Plots for Simulation-Based Inference Maximilian Lipp, Benjamin Kurt Miller, Lyubov Amitonova, Patrick Forré

ICLR 2026 Learning from the Electronic Structure of Molecules Across the Periodic Table Manasa Kaniselvan, Benjamin Kurt Miller, Meng Gao, Juno Nam, Daniel S. Levine

ICML 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen

ICLRW 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen

NeurIPS 2025 Adjoint Schrödinger Bridge Sampler Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen

ICML 2025 All-Atom Diffusion Transformers: Unified Generative Modelling of Molecules and Materials Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary Ward Ulissi

ICLRW 2025 All-Atom Diffusion Transformers: Unified Generative Modelling of Molecules and Materials Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary Ward Ulissi

NeurIPS 2024 FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions Anuroop Sriram, Benjamin Kurt Miller, Ricky T. Q. Chen, Brandon M. Wood

ICML 2024 FlowMM: Generating Materials with Riemannian Flow Matching Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M Wood

ICMLW 2023 Simulation-Based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré