Rianne van den Berg

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin Kaichuang Yang, Rianne van den Berg, Sarah Alamdari, James Zou, Alex Lu, Ava P. Amini

Nature Communications | February 2024, Vol 15

DOI PDF Publication

Two for one: Diffusion models and force fields for coarse-grained molecular dynamics

Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Rianne van den Berg, Robert Pinsler

Journal of Chemical Theory and Computation | February 2023, Vol 19(18): pp. 6151-6159

Publication Preprint

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini

arXiv | September 2022

DOI

Structured Denoising Diffusion Models in Discrete State-Spaces

Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg

NeurIPS 2021 | July 2021

Publication

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans

2021 International Conference on Learning Representations | May 2021

PDF Publication Preprint

A Spectral Energy Distance for Parallel Speech Synthesis

Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner

2020 Neural Information Processing Systems | August 2020

Publication PDF Preprint

Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem.

Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling

2019 Uncertainty in Artificial Intelligence | July 2019

Publication PDF Preprint

Sinkhorn AutoEncoders

Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen

2019 Uncertainty in Artificial Intelligence | July 2019

Publication Preprint

Emerging Convolutions for Generative Normalizing Flows

Emiel Hoogeboom, Rianne van den Berg, Max Welling

2019 International Conference on Machine Learning | May 2019

Publication PDF

Integer Discrete Flows and Lossless Compression

Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg, Max Welling

2019 Neural Information Processing Systems | May 2019

Publication PDF Preprint

Integrable spin chains with random interactions

Fabian H. L. Essler, Rianne van den Berg, Vladimir Gritsev

Physical Review B | July 2018, Vol 98(2): pp. 024203

Publication Preprint

Modeling Relational Data with Graph Convolutional Networks

Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling

2018 European Semantic Web Conference | June 2018

Publication PDF

Sylvester Normalizing Flows for Variational Inference

Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling

2018 Uncertainty in Artificial Intelligence | January 2018

Author's Version Publication

Graph Convolutional Matrix Completion

Rianne van den Berg, Thomas N. Kipf, Max Welling

October 2017

Publication Publication

Separation of Time Scales in a Quantum Newton’s Cradle.

Rianne van den Berg, B. Wouters, S. Eliëns, J. De Nardis, R. M. Konik, J. S. Caux

Physical Review Letters | June 2016, Vol 116(22): pp. 225302-225302

Publication Preprint

Atomic spin-chain realization of a model for quantum criticality

R. Toskovic, Rianne van den Berg, A. Spinelli, I. S. Eliens, B. van den Toorn, B. Bryant, J. S. Caux, A. F. Otte

Nature Physics | April 2016, Vol 12(7): pp. 656-660

Publication Preprint

Competing interactions in semiconductor quantum dots

Rianne van den Berg, G.P. Brandino, O. El Araby, R. M. Konik, Vladimir Gritsev, J. S. Caux

Physical Review B | October 2014, Vol 90(15): pp. 155117

Publication Preprint

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin Kaichuang Yang, Rianne van den Berg, Sarah Alamdari, James Zou, Alex Lu, Ava P. Amini

Nature Communications | February 2024, Vol 15

DOI PDF Publication

Two for one: Diffusion models and force fields for coarse-grained molecular dynamics

Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Rianne van den Berg, Robert Pinsler

Journal of Chemical Theory and Computation | February 2023, Vol 19(18): pp. 6151-6159

Publication Preprint

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini

arXiv | September 2022

DOI

Structured Denoising Diffusion Models in Discrete State-Spaces

Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg

NeurIPS 2021 | July 2021

Publication

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans

2021 International Conference on Learning Representations | May 2021

PDF Publication Preprint

A Spectral Energy Distance for Parallel Speech Synthesis

Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner

2020 Neural Information Processing Systems | August 2020

Publication PDF Preprint

Sinkhorn AutoEncoders

Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen

2019 Uncertainty in Artificial Intelligence | July 2019

Publication Preprint

Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem.

Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling

2019 Uncertainty in Artificial Intelligence | July 2019

Publication PDF Preprint

Emerging Convolutions for Generative Normalizing Flows

Emiel Hoogeboom, Rianne van den Berg, Max Welling

2019 International Conference on Machine Learning | May 2019

Publication PDF

Integer Discrete Flows and Lossless Compression

Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg, Max Welling

2019 Neural Information Processing Systems | May 2019

Publication PDF Preprint

Integrable spin chains with random interactions

Fabian H. L. Essler, Rianne van den Berg, Vladimir Gritsev

Physical Review B | July 2018, Vol 98(2): pp. 024203

Publication Preprint

Modeling Relational Data with Graph Convolutional Networks

Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling

2018 European Semantic Web Conference | June 2018

Publication PDF

Sylvester Normalizing Flows for Variational Inference

Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling

2018 Uncertainty in Artificial Intelligence | January 2018

Author's Version Publication

Graph Convolutional Matrix Completion

Rianne van den Berg, Thomas N. Kipf, Max Welling

October 2017

Publication Publication

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin Kaichuang Yang, Rianne van den Berg, Sarah Alamdari, James Zou, Alex Lu, Ava P. Amini

Nature Communications | February 2024, Vol 15

DOI PDF Publication

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini

arXiv | September 2022

DOI

Separation of Time Scales in a Quantum Newton’s Cradle.

Rianne van den Berg, B. Wouters, S. Eliëns, J. De Nardis, R. M. Konik, J. S. Caux

Physical Review Letters | June 2016, Vol 116(22): pp. 225302-225302

Publication Preprint

Atomic spin-chain realization of a model for quantum criticality

R. Toskovic, Rianne van den Berg, A. Spinelli, I. S. Eliens, B. van den Toorn, B. Bryant, J. S. Caux, A. F. Otte

Nature Physics | April 2016, Vol 12(7): pp. 656-660

Publication Preprint

Competing interactions in semiconductor quantum dots

Rianne van den Berg, G.P. Brandino, O. El Araby, R. M. Konik, Vladimir Gritsev, J. S. Caux

Physical Review B | October 2014, Vol 90(15): pp. 155117

Publication Preprint

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin Kaichuang Yang, Rianne van den Berg, Sarah Alamdari, James Zou, Alex Lu, Ava P. Amini

Nature Communications | February 2024, Vol 15

DOI PDF Publication

Two for one: Diffusion models and force fields for coarse-grained molecular dynamics

Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Rianne van den Berg, Robert Pinsler

Journal of Chemical Theory and Computation | February 2023, Vol 19(18): pp. 6151-6159

Publication Preprint

Protein structure generation via folding diffusion

Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini

arXiv | September 2022

DOI

Integrable spin chains with random interactions

Fabian H. L. Essler, Rianne van den Berg, Vladimir Gritsev

Physical Review B | July 2018, Vol 98(2): pp. 024203

Publication Preprint

Separation of Time Scales in a Quantum Newton’s Cradle.

Rianne van den Berg, B. Wouters, S. Eliëns, J. De Nardis, R. M. Konik, J. S. Caux

Physical Review Letters | June 2016, Vol 116(22): pp. 225302-225302

Publication Preprint

Atomic spin-chain realization of a model for quantum criticality

R. Toskovic, Rianne van den Berg, A. Spinelli, I. S. Eliens, B. van den Toorn, B. Bryant, J. S. Caux, A. F. Otte

Nature Physics | April 2016, Vol 12(7): pp. 656-660

Publication Preprint

Competing interactions in semiconductor quantum dots

Rianne van den Berg, G.P. Brandino, O. El Araby, R. M. Konik, Vladimir Gritsev, J. S. Caux

Physical Review B | October 2014, Vol 90(15): pp. 155117

Publication Preprint

Structured Denoising Diffusion Models in Discrete State-Spaces

Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg

NeurIPS 2021 | July 2021

Publication

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans

2021 International Conference on Learning Representations | May 2021

PDF Publication Preprint

A Spectral Energy Distance for Parallel Speech Synthesis

Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner

2020 Neural Information Processing Systems | August 2020

Publication PDF Preprint

Sinkhorn AutoEncoders

Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen

2019 Uncertainty in Artificial Intelligence | July 2019

Publication Preprint

Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem.

Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling

2019 Uncertainty in Artificial Intelligence | July 2019

Publication PDF Preprint

Emerging Convolutions for Generative Normalizing Flows

Emiel Hoogeboom, Rianne van den Berg, Max Welling

2019 International Conference on Machine Learning | May 2019

Publication PDF

Integer Discrete Flows and Lossless Compression

Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg, Max Welling

2019 Neural Information Processing Systems | May 2019

Publication PDF Preprint

Modeling Relational Data with Graph Convolutional Networks

Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling

2018 European Semantic Web Conference | June 2018

Publication PDF

Sylvester Normalizing Flows for Variational Inference

Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling

2018 Uncertainty in Artificial Intelligence | January 2018

Author's Version Publication

Graph Convolutional Matrix Completion

Rianne van den Berg, Thomas N. Kipf, Max Welling

October 2017

Publication Publication