Marc Peter Deisenroth
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
16
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Calibrated Physics-Informed Uncertainty Quantification. | Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles, Matt J. Kusner, Stanislas Pamela, Marc Peter Deisenroth |
| 2025 | ICRA | Semantic Cross-Pose Correspondence from a Single Example. | Denis Hadjivelichkov, Sicelukwanda Zwane, Marc Peter Deisenroth, Lourdes Agapito, Dimitrios Kanoulas |
| 2024 | AISTATS | A Unifying Variational Framework for Gaussian Process Motion Planning. | Lucas Cosier, Rares Iordan, Sicelukwanda N. T. Zwane, Giovanni Franzese, James T. Wilson, Marc Peter Deisenroth, Alexander Terenin, Yasemin Bekiroglu |
| 2024 | ICML | Gaussian Processes on Cellular Complexes. | Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth |
| 2024 | IROS | Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials. | Sicelukwanda Zwane, Daniel G. Cheney, Curtis C. Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc D. Killpack, Marc Peter Deisenroth |
| 2024 | UAI | Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems. | Rafael Anderka, Marc Peter Deisenroth, So Takao |
| 2023 | AISTATS | Actually Sparse Variational Gaussian Processes. | Harry Jake Cunningham, Daniel Augusto de Souza, So Takao, Mark van der Wilk, Marc Peter Deisenroth |
| 2023 | CVPR | Understanding Deep Generative Models with Generalized Empirical Likelihoods. | Suman V. Ravuri, Mlanie Rey, Shakir Mohamed, Marc Peter Deisenroth |
| 2023 | ICLR | Optimal Transport for Offline Imitation Learning. | Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth |
| 2023 | IROS | Sliding Touch-Based Exploration for Modeling Unknown Object Shape with Multi-Fingered Hands. | Yiting Chen, Ahmet Ercan Tekden, Marc Peter Deisenroth, Yasemin Bekiroglu |
| 2023 | IROS | Neural Field Movement Primitives for Joint Modelling of Scenes and Motions. | Ahmet Ercan Tekden, Marc Peter Deisenroth, Yasemin Bekiroglu |
| 2022 | CoRL | One-Shot Transfer of Affordance Regions? AffCorrs! | Denis Hadjivelichkov, Sicelukwanda Zwane, Lourdes Agapito, Marc Peter Deisenroth, Dimitrios Kanoulas |
| 2021 | AISTATS | Matrn Gaussian Processes on Graphs. | Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande |
| 2021 | AISTATS | Aligning Time Series on Incomparable Spaces. | Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth |
| 2021 | AISTATS | Learning Contact Dynamics using Physically Structured Neural Networks. | Andreas Hochlehnert, Alexander Terenin, Steindr Smundsson, Marc Peter Deisenroth |
| 2020 | AISTATS | Variational Integrator Networks for Physically Structured Embeddings. | Steindr Smundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth |
| 2020 | ICML | Healing Products of Gaussian Process Experts. | Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Peter Deisenroth |
| 2020 | ICML | Stochastic Differential Equations with Variational Wishart Diffusions. | Martin Jrgensen, Marc Peter Deisenroth, Hugh Salimbeni |
| 2020 | ICML | Efficiently sampling functions from Gaussian process posteriors. | James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth |
| 2019 | ICML | Deep Gaussian Processes with Importance-Weighted Variational Inference. | Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc Peter Deisenroth |
| 2018 | AISTATS | Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control. | Sanket Kamthe, Marc Peter Deisenroth |
| 2018 | ICML | Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches. | Simon Olofsson, Marc Peter Deisenroth, Ruth Misener |
| 2018 | UAI | Meta Reinforcement Learning with Latent Variable Gaussian Processes. | Steindr Smundsson, Katja Hofmann, Marc Peter Deisenroth |
| 2017 | KDD | Customer Lifetime Value Prediction Using Embeddings. | Benjamin Paul Chamberlain, ngelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth |
| 2016 | ACCV | Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units. | Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic |
| 2016 | CVPR | Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis. | Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic |
| 2016 | FCCM | Knowledge Transfer in Automatic Optimisation of Reconfigurable Designs. | Maciej Kurek, Marc Peter Deisenroth, Wayne Luk, Timothy John Todman |
| 2016 | IJCNN | Manifold Gaussian Processes for regression. | Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth |
| 2015 | ICML | Distributed Gaussian Processes. | Marc Peter Deisenroth, Jun Wei Ng |
| 2015 | ICRA | Learning inverse dynamics models with contacts. | Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters |
| 2014 | AISTATS | Analytic Long-Term Forecasting with Periodic Gaussian Processes. | Nooshin HajiGhassemi, Marc Peter Deisenroth |
| 2014 | ICASSP | Multi-modal filtering for non-linear estimation. | Sanket Kamthe, Jan Peters, Marc Peter Deisenroth |
| 2014 | ICRA | Policy search for learning robot control using sparse data. | Bastian Bischoff, Duy Nguyen-Tuong, Herke van Hoof, Andrew McHutchon, Carl E. Rasmussen, Alois C. Knoll, Jan Peters, Marc Peter Deisenroth |
| 2014 | ICRA | An experimental comparison of Bayesian optimization for bipedal locomotion. | Roberto Calandra, Andr Seyfarth, Jan Peters, Marc Peter Deisenroth |
| 2014 | ICRA | Multi-task policy search for robotics. | Marc Peter Deisenroth, Peter Englert, Jan Peters, Dieter Fox |
| 2013 | AAAI | Data-Efficient Generalization of Robot Skills with Contextual Policy Search. | Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann |
| 2013 | ICRA | Model-based imitation learning by probabilistic trajectory matching. | Peter Englert, Alexandros Paraschos, Jan Peters, Marc Peter Deisenroth |
| 2013 | ICRA | Feedback error learning for rhythmic motor primitives. | Nakul Gopalan, Marc Peter Deisenroth, Jan Peters |
| 2012 | ICANN | Learning Deep Belief Networks from Non-stationary Streams. | Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols |
| 2012 | IROS | Toward fast policy search for learning legged locomotion. | Marc Peter Deisenroth, Roberto Calandra, Andr Seyfarth, Jan Peters |
| 2011 | ICML | PILCO: A Model-Based and Data-Efficient Approach to Policy Search. | Marc Peter Deisenroth, Carl Edward Rasmussen |
| 2011 | ICRA | Gambit: An autonomous chess-playing robotic system. | Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith, Dieter Fox |
| 2009 | ICML | Analytic moment-based Gaussian process filtering. | Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck |
| 2008 | ESANN | Model-Based Reinforcement Learning with Continuous States and Actions. | Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters |