Deisenroth, Marc Peter
- Maximizing acquisition functions for Bayesian optimization
2018/05/25 by James T. Wilson, Wilson, James T., Frank Hutter +3 · 29 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research
- Meta Reinforcement Learning with Latent Variable Gaussian Processes
2018/03/20 by Steindór Sæmundsson, Katja Hofmann, Sæmundsson, Steindór +3 · 22 citations
Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Manifold Gaussian Processes for Regression
2014/02/24 by Calandra, Roberto, Peters, Jan, Rasmussen, Carl Edward +1 · 10 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
2017/06/20 by Sanket Kamthe, Marc Peter Deisenroth, Kamthe, Sanket +1 · 12 citations
Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
- The reparameterization trick for acquisition functions
2017/12/01 by James T. Wilson, Wilson, James T., Riccardo Moriconi +5 · 7 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC)
- Optimal Transport for Offline Imitation Learning
2023/03/24 by Luo, Yicheng, Jiang, Zhengyao, Cohen, Samuel +2 · 12 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
2024/06/07 by Joel Oskarsson, Tomas Landelius, Oskarsson, Joel +5 · 14 citations
Environmental Science · Computer Science · Engineering · #Hydrological Forecasting Using AI #Computational Physics and Python Applications #Traffic Prediction and Management Techniques
- One-Shot Transfer of Affordance Regions? AffCorrs!
2022/09/15 by Denis Hadjivelichkov, Hadjivelichkov, Denis, Sicelukwanda Zwane +7 · 8 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Processing Techniques and Applications #Robot Manipulation and Learning #Robotics (cs.RO)
- Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process\n Regression
2014/12/09 by Jun Wei Ng, Ng, Jun Wei, Marc Peter Deisenroth +1 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation (stat.CO) #Data Stream Mining Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Parameter Efficient Fine-tuning via Explained Variance Adaptation
2024/10/09 by Fabian Paischer, Lukas Hauzenberger, Paischer, Fabian +9 · 11 citations
Computer Science · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech and Audio Processing
- Accelerating the BSM interpretation of LHC data with machine learning
2016/11/08 by Gianfranco Bertone, Bertone, Gianfranco, Marc Peter Deisenroth +9 · 3 citations
Computer Science · Physics and Astronomy · #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (stat.ML) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
- Gaussian Processes on Cellular Complexes
2023/11/02 by Mathieu Alain, Alain, Mathieu, So Takao +5 · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
- Estimating Barycenters of Measures in High Dimensions
2020/07/14 by Samuel N. Cohen, Cohen, Samuel, Michael Arbel +3 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Topological and Geometric Data Analysis
- GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
2020/11/14 by Daniel Lengyel, Lengyel, Daniel, Janith C. Petangoda +13 · 3 citations
Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions
2023/03/30 by Yicheng Luo, Luo, Yicheng, Jackie Kay +5 · 4 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
- From Pixels to Torques: Policy Learning with Deep Dynamical Models
2015/02/08 by Wahlström, Niklas, Schön, Thomas B., Deisenroth, Marc Peter · 2 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Identification of Gaussian Process State Space Models
2017/05/30 by Stefanos Eleftheriadis, Thomas F. W. Nicholson, Eleftheriadis, Stefanos +5 · 2 citations
Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
- Uncertainty Quantification of Surrogate Models using Conformal Prediction
2024/08/19 by Vignesh Gopakumar, Gopakumar, Vignesh, Ander Gray +13 · 4 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Plasma Physics (physics.plasm-ph) #Probabilistic and Robust Engineering Design
- Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models
2015/10/08 by John-Alexander M. Assael, Assael, John-Alexander M., Niklas Wahlström +5 · 1 citation
Computer Science · Physics and Astronomy · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics
- Actually Sparse Variational Gaussian Processes
2023/04/11 by Harry Jake Cunningham, Daniel Augusto de Souza, Cunningham, Harry Jake +7 · 2 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Video Surveillance and Tracking Methods
- Thin and Deep Gaussian Processes
2023/10/17 by de Souza, Daniel Augusto, Nikitin, Alexander, John, ST +6 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Neural Field Movement Primitives for Joint Modelling of Scenes and Motions
2023/08/09 by Ahmet E. Tekden, Marc Peter Deisenroth, Tekden, Ahmet +3 · 2 citations
Computer Science · Engineering · #Advanced Vision and Imaging #FOS: Computer and information sciences #Human Motion and Animation #Human Pose and Action Recognition #Robotics (cs.RO)
- Cauchy-Schwarz Regularized Autoencoder
2021/01/06 by Linh Tran, Tran, Linh, Maja Pantić +3 · 1 citation
Computer Science · #Generative Adversarial Networks and Image Synthesis #Face recognition and analysis #Bayesian Methods and Mixture Models
- Probabilistic Active Meta-Learning
2020/07/17 by Jean Kaddour, Kaddour, Jean, Steindór Sæmundsson +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
2024/08/18 by Harry Jake Cunningham, Cunningham, Harry Jake, Giorgio Giannone +5 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
2023/08/21 by Alexander Norcliffe, Marc Peter Deisenroth, Norcliffe, Alexander +1 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
- Sliding Touch-based Exploration for Modeling Unknown Object Shape with Multi-fingered Hands
2023/08/01 by Chen, Yiting, Tekden, Ahmet Ercan, Deisenroth, Marc Peter +1 · 1 citation
#FOS: Computer and information sciences #Robotics (cs.RO)