Rianne van den Berg

Senior Principal Research Manager

出版物

表示方法:

- Accurate and scalable exchange-correlation with deep learning
  
  Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk Kooi, Sebastian Ehlert, Stephanie Lanius, K.J.H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel Bruinsma, Lin Huang, Xinran wei, Jose Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
  
  June 2025
  
  PDF Preprint 動画アクセスアクセスプロジェクト
- Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
  
  Sebastian Ehlert, Jan Hermann, Thijs Vogels, Victor Garcia Satorras, Stephanie Lanius, Marwin Segler, Derk Kooi, Kenji Takeda, Chin-Wei Huang, Giulia Luise, Rianne van den Berg, Paola Gori-Giorgi, Amir Karton
  
  June 2025
  
  PDF Preprint 動画アクセスプロジェクト
- 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 アクセス
- 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, 巻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, 巻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
  
  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
  
  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
  
  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
  
  Uncertainty in Artificial Intelligence | July 2019
  
  Publication Preprint
- Emerging Convolutions for Generative Normalizing Flows
  
  Emiel Hoogeboom, Rianne van den Berg, Max Welling
  
  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
  
  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, 巻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
  
  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
  
  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
  
  arXiv:1706.02263 | 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, 巻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, 巻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, 巻90(15): pp. 155117
  
  Publication Preprint

- Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
  
  Sebastian Ehlert, Jan Hermann, Thijs Vogels, Victor Garcia Satorras, Stephanie Lanius, Marwin Segler, Derk Kooi, Kenji Takeda, Chin-Wei Huang, Giulia Luise, Rianne van den Berg, Paola Gori-Giorgi, Amir Karton
  
  June 2025
  
  PDF Preprint 動画アクセスプロジェクト
- Accurate and scalable exchange-correlation with deep learning
  
  Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk Kooi, Sebastian Ehlert, Stephanie Lanius, K.J.H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel Bruinsma, Lin Huang, Xinran wei, Jose Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
  
  June 2025
  
  PDF Preprint 動画アクセスアクセスプロジェクト
- 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 アクセス
- 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, 巻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, 巻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
  
  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
  
  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
  
  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
  
  Uncertainty in Artificial Intelligence | July 2019
  
  Publication PDF Preprint
- Emerging Convolutions for Generative Normalizing Flows
  
  Emiel Hoogeboom, Rianne van den Berg, Max Welling
  
  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
  
  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, 巻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
  
  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
  
  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
  
  arXiv:1706.02263 | 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 アクセス
- 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, 巻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, 巻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, 巻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, 巻90(15): pp. 155117
  
  Publication Preprint

- Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
  
  Sebastian Ehlert, Jan Hermann, Thijs Vogels, Victor Garcia Satorras, Stephanie Lanius, Marwin Segler, Derk Kooi, Kenji Takeda, Chin-Wei Huang, Giulia Luise, Rianne van den Berg, Paola Gori-Giorgi, Amir Karton
  
  June 2025
  
  PDF Preprint 動画アクセスプロジェクト
- Accurate and scalable exchange-correlation with deep learning
  
  Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk Kooi, Sebastian Ehlert, Stephanie Lanius, K.J.H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel Bruinsma, Lin Huang, Xinran wei, Jose Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
  
  June 2025
  
  PDF Preprint 動画アクセスアクセスプロジェクト
- 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 アクセス
- 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, 巻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, 巻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, 巻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, 巻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, 巻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, 巻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
  
  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
  
  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
  
  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
  
  Uncertainty in Artificial Intelligence | July 2019
  
  Publication PDF Preprint
- Emerging Convolutions for Generative Normalizing Flows
  
  Emiel Hoogeboom, Rianne van den Berg, Max Welling
  
  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
  
  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
  
  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
  
  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
  
  arXiv:1706.02263 | October 2017
  
  Publication Publication

Rianne van den Berg

出版物

Accurate and scalable exchange-correlation with deep learning

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space

Protein generation with evolutionary diffusion: sequence is all you need

Protein structure generation via folding diffusion

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

Protein structure generation via folding diffusion

Structured Denoising Diffusion Models in Discrete State-Spaces

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

A Spectral Energy Distance for Parallel Speech Synthesis

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

Sinkhorn AutoEncoders

Emerging Convolutions for Generative Normalizing Flows

Integer Discrete Flows and Lossless Compression

Integrable spin chains with random interactions

Modeling Relational Data with Graph Convolutional Networks

Sylvester Normalizing Flows for Variational Inference

Graph Convolutional Matrix Completion

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

Atomic spin-chain realization of a model for quantum criticality

Competing interactions in semiconductor quantum dots

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space

Accurate and scalable exchange-correlation with deep learning

Protein generation with evolutionary diffusion: sequence is all you need

Protein structure generation via folding diffusion

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

Protein structure generation via folding diffusion

Structured Denoising Diffusion Models in Discrete State-Spaces

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

A Spectral Energy Distance for Parallel Speech Synthesis

Sinkhorn AutoEncoders

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

Emerging Convolutions for Generative Normalizing Flows

Integer Discrete Flows and Lossless Compression

Integrable spin chains with random interactions

Modeling Relational Data with Graph Convolutional Networks

Sylvester Normalizing Flows for Variational Inference

Graph Convolutional Matrix Completion

Protein generation with evolutionary diffusion: sequence is all you need

Protein structure generation via folding diffusion

Protein structure generation via folding diffusion

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

Atomic spin-chain realization of a model for quantum criticality

Competing interactions in semiconductor quantum dots

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space

Accurate and scalable exchange-correlation with deep learning

Protein generation with evolutionary diffusion: sequence is all you need

Protein structure generation via folding diffusion

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

Protein structure generation via folding diffusion

Integrable spin chains with random interactions

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

Atomic spin-chain realization of a model for quantum criticality

Competing interactions in semiconductor quantum dots

Structured Denoising Diffusion Models in Discrete State-Spaces

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

A Spectral Energy Distance for Parallel Speech Synthesis

Sinkhorn AutoEncoders

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

Emerging Convolutions for Generative Normalizing Flows

Integer Discrete Flows and Lossless Compression

Modeling Relational Data with Graph Convolutional Networks

Sylvester Normalizing Flows for Variational Inference

Graph Convolutional Matrix Completion