Miller, Benjamin Kurt

8 publications

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