Rianne van den Berg

29 papers A* 7A 3B 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accurate and scalable exchange-correlation with deep learning. CoRR Giulia Luise, Chin-Wei Huang, Thijs Vogels, Derk P. Kooi, Sebastian Ehlert, Stephanie Lanius, Klaas J. H. Giesbertz, Amir Karton, Deniz Gunceler, Megan Stanley, Wessel P. Bruinsma, Lin Huang, Xinran Wei, José Garrido Torres, Abylay Katbashev, Rodrigo Chavez Zavaleta, Bálint Máté, Sékou-Oumar Kaba, Roberto Sordillo, Yingrong Chen, David B. Williams-Young, Christopher M. Bishop, Jan Hermann, Rianne van den Berg, Paola Gori-Giorgi
2023	A*	`conf`	Clifford Neural Layers for PDE Modeling. ICLR Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta
2023	J	`jnl`	Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
2022	A*	`conf`	Autoregressive Diffusion Models. ICLR Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans
2022	J	`jnl`	Clifford Neural Layers for PDE Modeling. CoRR Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta
2022	J	`jnl`	Protein structure generation via folding diffusion. CoRR Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini
2021	J	`jnl`	Autoregressive Diffusion Models. CoRR Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans
2021	J	`jnl`	Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models. CoRR Daniel D. Johnson, Jacob Austin, Rianne van den Berg, Daniel Tarlow
2021	J	`jnl`	Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. CoRR Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi
2021	A*	`conf`	IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. ICLR Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
2021	A*	`conf`	Structured Denoising Diffusion Models in Discrete State-Spaces. NeurIPS Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
2021	J	`jnl`	Structured Denoising Diffusion Models in Discrete State-Spaces. CoRR Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
2020	A*	`conf`	A Spectral Energy Distance for Parallel Speech Synthesis. NeurIPS Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner
2020	J	`jnl`	A Spectral Energy Distance for Parallel Speech Synthesis. CoRR Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner
2020	J	`jnl`	IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. CoRR Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
2019	A	`conf`	Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. UAI Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2019	J	`jnl`	Differentiable probabilistic models of scientific imaging with the Fourier slice theorem. CoRR Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2019	A*	`conf`	Emerging Convolutions for Generative Normalizing Flows. ICML Emiel Hoogeboom, Rianne van den Berg, Max Welling
2019	J	`jnl`	Emerging Convolutions for Generative Normalizing Flows. CoRR Emiel Hoogeboom, Rianne van den Berg, Max Welling
2019	A*	`conf`	Integer Discrete Flows and Lossless Compression. NeurIPS Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg, Max Welling
2019	J	`jnl`	Integer Discrete Flows and Lossless Compression. CoRR Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg, Max Welling
2019	A	`conf`	Sinkhorn AutoEncoders. UAI Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen
2018	B	`conf`	Modeling Relational Data with Graph Convolutional Networks. ESWC Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2018	J	`jnl`	Predictive Uncertainty through Quantization. CoRR Bastiaan S. Veeling, Rianne van den Berg, Max Welling
2018	J	`jnl`	Sinkhorn AutoEncoders. CoRR Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen
2018	A	`conf`	Sylvester Normalizing Flows for Variational Inference. UAI Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling
2018	J	`jnl`	Sylvester Normalizing Flows for Variational Inference. CoRR Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling
2017	J	`jnl`	Graph Convolutional Matrix Completion. CoRR Rianne van den Berg, Thomas N. Kipf, Max Welling
2017	J	`jnl`	Modeling Relational Data with Graph Convolutional Networks. CoRR Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling