Michael S. Albergo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Sampling Strategies

Stochastic Optimization

Top Venues

Publications

Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. CoRR (2024)
Michael S. Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden
Multimarginal Generative Modeling with Stochastic Interpolants. ICLR (2024)
Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden
Flow Map Matching. CoRR (2024)
Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers. CoRR (2024)
Ryan Abbott, Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
Practical applications of machine-learned flows on gauge fields. CoRR (2024)
Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions. CoRR (2023)
Michael S. Albergo, Eric Vanden-Eijnden
Learning to Sample Better. CoRR (2023)
Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
Normalizing flows for lattice gauge theory in arbitrary space-time dimension. CoRR (2023)
Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
Stochastic interpolants with data-dependent couplings. CoRR (2023)
Michael S. Albergo, Eric Vanden-Eijnden
Building Normalizing Flows with Stochastic Interpolants. ICLR (2023)
Michael S. Albergo, Nicholas M. Boffi, Michael Lindsey, Eric Vanden-Eijnden
Multimarginal generative modeling with stochastic interpolants. CoRR (2023)
Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
Aspects of scaling and scalability for flow-based sampling of lattice QCD. CoRR (2022)
Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
Flow-based sampling in the lattice Schwinger model at criticality. CoRR (2022)
Ryan Abbott, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Betsy Tian, Julian M. Urban
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions. CoRR (2022)
Michael S. Albergo, Eric Vanden-Eijnden
Building Normalizing Flows with Stochastic Interpolants. CoRR (2022)
Daniel C. Hackett, Chung-Chun Hsieh, Michael S. Albergo, Denis Boyda, Jiunn-Wei Chen, Kai-Feng Chen, Kyle Cranmer, Gurtej Kanwar, Phiala E. Shanahan
Flow-based sampling for multimodal distributions in lattice field theory. CoRR (2021)
Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan
Flow-based sampling for fermionic lattice field theories. CoRR (2021)
Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Kyle Cranmer, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan
Introduction to Normalizing Flows for Lattice Field Theory. CoRR (2021)
Denis Boyda, Gurtej Kanwar, Sébastien Racanière, Danilo Jimenez Rezende, Michael S. Albergo, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan
Sampling using SU(N) gauge equivariant flows. CoRR (2020)
Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
Normalizing Flows on Tori and Spheres. CoRR (2020)
Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
Normalizing Flows on Tori and Spheres. ICML (2020)
Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan
Equivariant flow-based sampling for lattice gauge theory. CoRR (2020)