Arno Solin
- Variational Fourier features for Gaussian processes
2016/11/21 by James Hensman, Hensman, James, Nicolas Durrande +3 · 26 citations
Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Scientific Research and Discoveries #Advanced Multi-Objective Optimization Algorithms
- Hilbert space methods for reduced-rank Gaussian process regression
2019/08/05 by Arno Solin, Simo Särkkä · 1 voice · 15 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Stochastic Gradient Optimization Techniques #Advanced Multi-Objective Optimization Algorithms
- Generative Modelling With Inverse Heat Dissipation
2022/06/21 by Severi Rissanen, Markus Heinonen, Rissanen, Severi +3 · 25 citations
Computer Science · Neuroscience · #Generative Adversarial Networks and Image Synthesis #Aesthetic Perception and Analysis
- Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering
2013/06/12 by Simo Sarkka, Simo Särkkä, Arno Solin +1 · 11 citations
Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Target Tracking and Data Fusion in Sensor Networks #Scientific Research and Discoveries
- Subtractive Mixture Models via Squaring: Representation and Learning
2023/10/01 by Lorenzo Loconte, Loconte, Lorenzo, Aleksanteri Sladek +12 · 2 voices · 9 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Bayesian Methods and Mixture Models
- Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
2015/06/07 by Andreas Svensson, Arno Solin, Svensson, Andreas +5 · 5 citations
Computer Science · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
- Fixing Overconfidence in Dynamic Neural Networks
2023/02/13 by Lassi Meronen, Martin Trapp, Meronen, Lassi +7 · 1 voice · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #cs.LG
- Know Your Boundaries: Constraining Gaussian Processes by Variational\n Harmonic Features
2019/04/10 by Arno Solin, Solin, Arno, Manon Kok +1 · 4 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) #Neural Networks and Applications
- Spatio-Temporal Variational Gaussian Processes
2021/11/02 by Oliver Hamelijnck, Hamelijnck, Oliver, William J. Wilkinson +7 · 5 citations
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Control Systems and Identification #Target Tracking and Data Fusion in Sensor Networks
- Physics-Informed Variational State-Space Gaussian Processes
2024/09/20 by Oliver Hamelijnck, Hamelijnck, Oliver, Arno Solin +3 · 2 voices · 5 citations
Computer Science · #Gaussian Processes and Bayesian Inference #cs.LG #stat.ML
- Post-hoc Probabilistic Vision-Language Models
2024/12/08 by Anton Baumann, Rui Li, Baumann, Anton +13 · 2 voices · 5 citations
Computer Science · #Multimodal Machine Learning Applications #Semantic Web and Ontologies #Advanced Image and Video Retrieval Techniques
- Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation
2021/10/29 by Arno Solin, Ella Tamir, Solin, Arno +3 · 3 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Periodic Activation Functions Induce Stationarity
2021/10/26 by Lassi Meronen, Meronen, Lassi, Martin Trapp +3 · 3 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
- Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
2018/04/05 by Manon Kok, Arno Solin, Kok, Manon +1 · 2 citations
Engineering · Computer Science · #Robotics and Sensor-Based Localization #Gaussian Processes and Bayesian Inference #Domain Adaptation and Few-Shot Learning
- ADVIO: An authentic dataset for visual-inertial odometry
2018/07/25 by Santiago Cortés, Arno Solin, Cortés, Santiago +5 · 2 citations
Earth and Planetary Sciences · Engineering · Environmental Science · #3D Surveying and Cultural Heritage #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Remote Sensing and LiDAR Applications #Robotics and Sensor-Based Localization
- Pioneer Networks: Progressively Growing Generative Autoencoder
2018/07/09 by Ari Heljakka, Heljakka, Ari, Arno Solin +3 · 1 voice · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
- Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
2024/10/28 by Prakhar Verma, Sukruta Prakash Midigeshi, Verma, Prakhar +9 · 6 citations
Computer Science · #Algorithms and Data Compression #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval and Search Behavior #Machine Learning (cs.LG) #Speech and dialogue systems
- Discrete Codebook World Models for Continuous Control
2025/03/01 by Aidan Scannell, Scannell, Aidan, Mohammadreza Nakhaei +11 · 2 voices · 5 citations
#cs.LG
- Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
2024/10/15 by Severi Rissanen, Rissanen, Severi, Markus Heinonen +3 · 1 voice · 5 citations
Mathematics · #Statistical Methods and Inference
- Sigma-Point Filtering and Smoothing Based Parameter Estimation in Nonlinear Dynamic Systems
2015/04/23 by Juho Kokkala, Kokkala, Juho, Arno Solin +3 · 1 citation
Computer Science · Environmental Science · #Climate variability and models #Computation (stat.CO) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Optimization and Control (math.OC) #Target Tracking and Data Fusion in Sensor Networks
- State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
2020/07/12 by William J. Wilkinson, Wilkinson, William J., Paul E. Chang +5 · 2 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Target Tracking and Data Fusion in Sensor Networks #Bayesian Modeling and Causal Inference
- Sources of Uncertainty in 3D Scene Reconstruction
2024/09/10 by Marcus Klasson, Riccardo Mereu, Klasson, Marcus +5 · 3 citations
Earth and Planetary Sciences · #3D Surveying and Cultural Heritage
- Non-separable Spatio-temporal Graph Kernels via SPDEs
2021/11/16 by Alexander Nikitin, Nikitin, Alexander, St. John +5 · 1 citation
Computer Science · Environmental Science · #Gaussian Processes and Bayesian Inference #Time Series Analysis and Forecasting #Air Quality Monitoring and Forecasting
- Disentangling Model Multiplicity in Deep Learning
2022/06/17 by Ari Heljakka, Martin Trapp, Heljakka, Ari +5 · 1 citation
Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications #Statistical Mechanics and Entropy
- Transport with Support: Data-Conditional Diffusion Bridges
2023/01/31 by Ella Tamir, Martin Trapp, Tamir, Ella +3 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks
- Expansion of Visual Hints for Improved Generalization in Stereo Matching
2022/11/01 by Andrea Pilzer, Pilzer, Andrea, Yuxin Hou +7 · 1 citation
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
- Dual Parameterization of Sparse Variational Gaussian Processes
2021/11/05 by Vincent Adam, Adam, Vincent, Paul E. Chang +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Chemistry · Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectroscopy Techniques in Biomedical and Chemical Research #Spectroscopy and Chemometric Analyses
- Memory-Based Dual Gaussian Processes for Sequential Learning
2023/06/06 by Paul E. Chang, Chang, Paul E., Prakhar Verma +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
2023/06/07 by Rui Li, Li, Rui, St. John +3 · 1 citation
Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Machine Learning and Algorithms
- DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
2024/11/29 by Yihao Wang, Marcus Klasson, Wang, Yihao +9 · 1 voice · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Image and Video Retrieval Techniques #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
- Streamlining Prediction in Bayesian Deep Learning
2024/11/27 by Rui Li, Li, Rui, Marcus Klasson +5 · 3 voices
Computer Science · #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #Gaussian Processes and Bayesian Inference #cs.LG
- Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection
2024/09/02 by Manon Kok, Arno Solin, Kok, Manon +1 · 1 citation
Computer Science · Engineering · #Augmented Reality Applications #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Robotics (cs.RO) #Robotics and Sensor-Based Localization
- Stochasticity in Tokenisation Improves Robustness
2026/04/17 by Sophie Steger, Rui Li, Sofiane Ennadir +4 · 1 voice · 1 citation
#cs.CL