Deisenroth, Marc Peter

29 publications

ICML 2025 Calibrated Physics-Informed Uncertainty Quantification Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles, Matt Kusner, Stanislas Pamela, Marc Peter Deisenroth

NeurIPS 2025 Infinite Neural Operators: Gaussian Processes on Functions Daniel Augusto de Souza, Yuchen Zhu, Harry Jake Cunningham, Yuri Saporito, Diego Mesquita, Marc Peter Deisenroth

NeurIPS 2025 Parameter Efficient Fine-Tuning via Explained Variance Adaptation Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter

ICML 2024 Gaussian Processes on Cellular Complexes Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth

UAI 2024 Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems Rafael Anderka, Marc Peter Deisenroth, So Takao

NeurIPSW 2024 One Initialization to Rule Them All: Fine-Tuning via Explained Variance Adaptation Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter

NeurIPSW 2024 One Initialization to Rule Them All: Fine-Tuning via Explained Variance Adaptation Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter

NeurIPS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten

NeurIPS 2024 Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc Peter Deisenroth

AISTATS 2023 Actually Sparse Variational Gaussian Processes Harry Jake Cunningham, Daniel Augusto Souza, So Takao, Mark Wilk, Marc Peter Deisenroth

TMLR 2023 Faster Training of Neural ODEs Using Gauß–Legendre Quadrature Alexander Luke Ian Norcliffe, Marc Peter Deisenroth

ICLR 2023 Optimal Transport for Offline Imitation Learning Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

CVPR 2023 Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth

JMLR 2022 Cauchy–Schwarz Regularized Autoencoder Linh Tran, Maja Pantic, Marc Peter Deisenroth

TMLR 2022 Iterative State Estimation in Non-Linear Dynamical Systems Using Approximate Expectation Propagation Sanket Kamthe, So Takao, Shakir Mohamed, Marc Peter Deisenroth

CoRL 2022 One-Shot Transfer of Affordance Regions? AffCorrs! Denis Hadjivelichkov, Sicelukwanda Zwane, Lourdes Agapito, Marc Peter Deisenroth, Dimitrios Kanoulas

NeurIPSW 2022 Optimal Transport for Offline Imitation Learning Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

TMLR 2022 The Graph Cut Kernel for Ranked Data Michelangelo Conserva, Marc Peter Deisenroth, K S Sesh Kumar

NeurIPSW 2021 Imitation Learning from Pixel Observations for Continuous Control Samuel Cohen, Brandon Amos, Marc Peter Deisenroth, Mikael Henaff, Eugene Vinitsky, Denis Yarats

JMLR 2021 Pathwise Conditioning of Gaussian Processes James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth

MLJ 2020 High-Dimensional Bayesian Optimization Using Low-Dimensional Feature Spaces Riccardo Moriconi, Marc Peter Deisenroth, K. S. Sesh Kumar

AISTATS 2018 Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control Sanket Kamthe, Marc Peter Deisenroth

UAI 2018 Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

ECML-PKDD 2017 Probabilistic Inference of Twitter Users' Age Based on What They Follow Benjamin Paul Chamberlain, Clive Humby, Marc Peter Deisenroth

CVPRW 2016 Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic

AISTATS 2014 Analytic Long-Term Forecasting with Periodic Gaussian Processes Nooshin HajiGhassemi, Marc Peter Deisenroth

AAAI 2013 Data-Efficient Generalization of Robot Skills with Contextual Policy Search Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann

ICML 2011 PILCO: A Model-Based and Data-Efficient Approach to Policy Search Marc Peter Deisenroth, Carl Edward Rasmussen

ICML 2009 Analytic Moment-Based Gaussian Process Filtering Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck