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Rianne van den Berg
Rianne van den Berg
Principal researcher, Microsoft Research
Geverifieerd e-mailadres voor microsoft.com - Homepage
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Jaar
Modeling Relational Data with Graph Convolutional Networks
M Schlichtkrull, TN Kipf, P Bloem, R van den Berg, I Titov, M Welling
arXiv preprint arXiv:1703.06103, 2017
43022017
Graph Convolutional Matrix Completion
R van den Berg, TN Kipf, M Welling
arXiv preprint arXiv:1706.02263, 2017
13112017
Structured denoising diffusion models in discrete state-spaces
J Austin, DD Johnson, J Ho, D Tarlow, R van den Berg
Advances in Neural Information Processing Systems 34, 17981-17993, 2021
3152021
Sylvester normalizing flows for variational inference
R Berg, L Hasenclever, JM Tomczak, M Welling
arXiv preprint arXiv:1803.05649, 2018
2252018
Integer discrete flows and lossless compression
E Hoogeboom, J Peters, R van den Berg, M Welling
Advances in Neural Information Processing Systems, 12134-12144, 2019
1352019
Atomic spin-chain realization of a model for quantum criticality
R Toskovic, R van den Berg, A Spinelli, IS Eliens, B van den Toorn, ...
Nature Physics 12 (7), 656-660, 2016
1302016
Sinkhorn autoencoders
G Patrini, R Berg, P Forré, M Carioni, S Bhargav, M Welling, T Genewein, ...
arXiv preprint arXiv:1810.01118, 2018
1022018
Emerging convolutions for generative normalizing flows
E Hoogeboom, R Van Den Berg, M Welling
International Conference on Machine Learning, 2771-2780, 2019
992019
Autoregressive Diffusion Models
E Hoogeboom, AA Gritsenko, J Bastings, B Poole, R Berg, T Salimans
arXiv preprint arXiv:2110.02037, 2021
632021
A spectral energy distance for parallel speech synthesis
A Gritsenko, T Salimans, R van den Berg, J Snoek, N Kalchbrenner
Advances in Neural Information Processing Systems 33, 2020
552020
Separation of Time Scales in a Quantum Newton’s Cradle
R van den Berg, B Wouters, S Eliëns, J De Nardis, RM Konik, JS Caux
Physical Review Letters 116 (22), 225302, 2016
502016
Protein structure generation via folding diffusion
KE Wu, KK Yang, R Berg, JY Zou, AX Lu, AP Amini
arXiv preprint arXiv:2209.15611, 2022
412022
Idf++: Analyzing and improving integer discrete flows for lossless compression
R van den Berg, AA Gritsenko, M Dehghani, CK Sønderby, T Salimans
International Conference on Learning Representations, 2020
36*2020
Clifford Neural Layers for PDE Modeling
J Brandstetter, R Berg, M Welling, JK Gupta
arXiv preprint arXiv:2209.04934, 2022
322022
Two for one: Diffusion models and force fields for coarse-grained molecular dynamics
M Arts, V Garcia Satorras, CW Huang, D Zügner, M Federici, C Clementi, ...
Journal of Chemical Theory and Computation 19 (18), 6151-6159, 2023
182023
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem
K Ullrich, R Berg, M Brubaker, D Fleet, M Welling
arXiv preprint arXiv:1906.07582, 2019
152019
Competing interactions in semiconductor quantum dots
R van den Berg, GP Brandino, O El Araby, RM Konik, V Gritsev, JS Caux
Physical Review B 90 (15), 155117, 2014
152014
Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent
S Abnar, R Berg, G Ghiasi, M Dehghani, N Kalchbrenner, H Sedghi
arXiv preprint arXiv:2106.06080, 2021
122021
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models
DD Johnson, J Austin, R van den Berg, D Tarlow
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021
122021
Variational inference with orthogonal normalizing flows
L Hasenclever, JM Tomczak, R Van Den Berg, M Welling
Workshop Bayesian Deep Learn.(NeurIPS), 2017
62017
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Artikelen 1–20