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Scientific Reports|May 9, 2022
Learning to simulate high energy particle collisions from unlabeled dataJessica N Howard, Stephan Mandt, Daniel Whiteson, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|April 8, 2023
Insights From Generative Modeling for Neural Video CompressionRuihan Yang, Yibo Yang, Joseph Marino, et al.Physical Review Letters|January 15, 2011
Equilibration rates and negative absolute temperatures for ultracold atoms in optical latticesAkos Rapp, Stephan Mandt, Achim RoschChemical Communications (Cambridge, England)|September 16, 2020
Hybridizing physical and data-driven prediction methods for physicochemical propertiesFabian Jirasek, Robert Bamler, Stephan MandtEntropy (Basel, Switzerland)|October 28, 2023
Diffusion Probabilistic Modeling for Video GenerationRuihan Yang, Prakhar Srivastava, Stephan MandtEntropy (Basel, Switzerland)|December 24, 2021
History Marginalization Improves Forecasting in Variational Recurrent Neural NetworksChen Qiu, Stephan Mandt, Maja RudolphPhysical Review Letters|July 21, 2011
Interacting fermionic atoms in optical lattices diffuse symmetrically upwards and downwards in a gravitational potentialStephan Mandt, Akos Rapp, Achim RoschIEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
Self-Supervised Anomaly Detection With Neural TransformationsChen Qiu, Marius Kloft, Stephan Mandt, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|January 1, 2019
Advances in Variational InferenceCheng Zhang, Judith Butepage, Hedvig Kjellstrom, et al.Proceedings of Machine Learning Research|April 22, 2024
Fully Bayesian Autoencoders with Latent Sparse Gaussian ProcessesBa-Hien Tran, Babak Shahbaba, Stephan Mandt, et al.Pageof 11