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ORCIDMichael S. Albergo
Person information
- affiliation: New York University, Center for Cosmology and Particle Physics, NY, USA
- affiliation (former): Perimeter Institute for Theoretical Physics, Waterloo, ON, Canada
- affiliation (former): University of Cambridge, UK
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2020 – today
- 2024
[c6]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. ECCV (77) 2024: 23-40- [c5]Michael S. Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal Generative Modeling with Stochastic Interpolants. ICLR 2024 - [c4]Michael S. Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic Interpolants with Data-Dependent Couplings. ICML 2024 - [c3]Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. ICML 2024 - [i21]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 abs/2401.08740 (2024) - [i20]Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. CoRR abs/2403.13724 (2024) - [i19]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 abs/2404.11674 (2024) - [i18]Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden:
Flow Map Matching. CoRR abs/2406.07507 (2024) - [i17]Michael S. Albergo, Eric Vanden-Eijnden:
NETS: A Non-Equilibrium Transport Sampler. CoRR abs/2410.02711 (2024) - 2023
- [c2]Michael S. Albergo, Eric Vanden-Eijnden:
Building Normalizing Flows with Stochastic Interpolants. ICLR 2023 - [i16]Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden:
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions. CoRR abs/2303.08797 (2023) - [i15]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 abs/2305.02402 (2023) - [i14]Michael S. Albergo, Nicholas M. Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal generative modeling with stochastic interpolants. CoRR abs/2310.03695 (2023) - [i13]Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic interpolants with data-dependent couplings. CoRR abs/2310.03725 (2023) - [i12]Michael S. Albergo, Eric Vanden-Eijnden:
Learning to Sample Better. CoRR abs/2310.11232 (2023) - 2022
- [i11]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 abs/2202.11712 (2022) - [i10]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 abs/2207.08945 (2022) - [i9]Michael S. Albergo, Eric Vanden-Eijnden:
Building Normalizing Flows with Stochastic Interpolants. CoRR abs/2209.15571 (2022) - [i8]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 abs/2211.07541 (2022) - 2021
- [i7]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 abs/2101.08176 (2021) - [i6]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 abs/2106.05934 (2021) - [i5]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 abs/2107.00734 (2021) - 2020
- [c1]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: 8083-8092 - [i4]Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer:
Normalizing Flows on Tori and Spheres. CoRR abs/2002.02428 (2020) - [i3]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 abs/2003.06413 (2020) - [i2]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 abs/2008.05456 (2020)
2010 – 2019
- 2019
- [i1]Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan:
Flow-based generative models for Markov chain Monte Carlo in lattice field theory. CoRR abs/1904.12072 (2019)
Coauthor Index
aka: Nicholas Matthew Boffi
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