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https://www.deisenroth.cc/authors/prahlad-vadakkepata/ Prahlad Vadakkepata | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothprahlad https://www.deisenroth.cc/ Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenroth https://www.deisenroth.cc/publication/eleftheriadis-2017-a/ Identification of Gaussian Process State Space Models | Marc Deisenroth Jan 1, 2017 - The Gaussian process state space model (GPSSM) is a non-linear dynamical system, where unknown transition and/or measurement mappings are described by GPs.... state space modelsgaussian processmarc deisenrothidentification https://www.deisenroth.cc/publication/wilson-2017/ The Reparameterization Trick for Acquisition Functions | Marc Deisenroth marc deisenrothtrickacquisitionfunctions https://www.deisenroth.cc/publication/gopalan-2013/ Feedback Error Learning for Rhythmic Motor Primitives | Marc Deisenroth marc deisenrothfeedbackerrorlearningrhythmic https://bsky.app/profile/deisenroth.bsky.social @deisenroth.bsky.social on Bluesky Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him bsky socialdeisenrothbluesky https://www.deisenroth.cc/authors/daniel-giles/ Daniel Giles | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothdanielgiles https://www.deisenroth.cc/authors/william-agnew/ William Agnew | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothwilliamagnew https://www.deisenroth.cc/authors/james-hensman/ James Hensman | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothjames https://www.deisenroth.cc/authors/ognjen-rudovic/ Ognjen Rudovic | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothognjen https://www.deisenroth.cc/authors/giulia-luise/ Giulia Luise | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothgiulialuise https://www.deisenroth.cc/authors/so-takao/ So Takao | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothtakao https://www.deisenroth.cc/authors/marc-peter-deisenroth/ Marc Peter Deisenroth | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marcpeterdeisenroth https://www.deisenroth.cc/talk/ Talks | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothtalks https://www.deisenroth.cc/authors/timothy-nunn/ Timothy Nunn | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothtimothynunn https://www.deisenroth.cc/authors/rendani-mbuvha/ Rendani Mbuvha | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenroth https://www.deisenroth.cc/authors/diego-mesquita/ Diego Mesquita | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothdiegomesquita https://www.deisenroth.cc/authors/k.-s.-sesh-kumar/ K. S. Sesh Kumar | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothksesh https://www.sml-group.cc/authors/marc-p.-deisenroth/ Marc P. Deisenroth | Sustainability and Machine Learning Group Google DeepMind Chair of Machine Learning and Artificial Intelligence machine learning groupmarcdeisenrothsustainability https://www.deisenroth.cc/authors/andras-kupcsik/ Andras Kupcsik | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothandras https://www.deisenroth.cc/publication/ Publications | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothpublications https://www.deisenroth.cc/publication/gopakumar-2025/ Calibrated Physics-Informed Uncertainty Quantification | Marc Deisenroth Jul 13, 2025 - Neural PDEs have emerged as inexpensive surrogate models for numerical PDE solvers. While they offer efficient approximations, they often lack robust... physics informeduncertainty quantificationmarc deisenrothcalibrated https://www.deisenroth.cc/authors/dieter-fox/ Dieter Fox | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothdieterfox https://www.deisenroth.cc/authors/zhengyao-jiang/ Zhengyao Jiang | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothjiang https://www.deisenroth.cc/publication/souza-2025/ Infinite Neural Operators: Gaussian Processes on Functions | Marc Deisenroth Dec 4, 2025 - A variety of infinitely wide neural architectures (e.g., dense NNs, CNNs, and transformers) induce Gaussian process (GP) priors over their outputs. These... gaussian processesmarc deisenrothinfiniteneuraloperators https://www.deisenroth.cc/authors/vignesh-gopakumar/ Vignesh Gopakumar | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothvignesh https://www.deisenroth.cc/authors/carl-e.-rasmussen/ Carl E. Rasmussen | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence carl emarc deisenrothrasmussen https://sigmoid.social/@deisenroth Marc Deisenroth (@deisenroth@sigmoid.social) - Sigmoid Social 118 Posts, 171 Following, 937 Followers ยท Machine learning researcher | Professor at UCL | he/him | ๐Ÿณ๏ธโ€๐ŸŒˆ marc deisenrothsigmoid social https://www.deisenroth.cc/talk/page/2/ Talks | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothtalks https://www.deisenroth.cc/authors/marc-p.-deisenroth/ Marc P. Deisenroth | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc pdeisenroth https://www.deisenroth.cc/authors/josh-levy-kramer/ Josh Levy-Kramer | Marc Deisenroth Google DeepMind Chair of Machine Learning and Artificial Intelligence marc deisenrothjoshlevykramer