2024
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices.
Trans. Mach. Learn. Res., 2024
Post-hoc Probabilistic Vision-Language Models.
CoRR, 2024
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering.
CoRR, 2024
Streamlining Prediction in Bayesian Deep Learning.
CoRR, 2024
Differentially Private Continual Learning using Pre-Trained Models.
CoRR, 2024
Plan⨉RAG: Planning-guided Retrieval Augmented Generation.
CoRR, 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs.
CoRR, 2024
Sources of Uncertainty in 3D Scene Reconstruction.
CoRR, 2024
iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning.
CoRR, 2024
Improving Discrete Diffusion Models via Structured Preferential Generation.
CoRR, 2024
Alignment is Key for Applying Diffusion Models to Retrosynthesis.
CoRR, 2024
Flatness Improves Backbone Generalisation in Few-shot Classification.
CoRR, 2024
Fixing Overconfidence in Dynamic Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Physics-Informed Variational State-Space Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024
Function-space Parameterization of Neural Networks for Sequential Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Subtractive Mixture Models via Squaring: Representation and Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models.
Proceedings of the 27th International Conference on Information Fusion, 2024
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion.
Proceedings of the Computer Vision - ECCV 2024, 2024
Variational Gaussian Process Diffusion Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Transport with Support: Data-Conditional Diffusion Bridges.
Trans. Mach. Learn. Res., 2023
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming.
Stat. Comput., 2023
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees.
J. Mach. Learn. Res., 2023
Sparse Function-space Representation of Neural Networks.
CoRR, 2023
Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping.
CoRR, 2023
Expansion of Visual Hints for Improved Generalization in Stereo Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
MixupE: Understanding and improving Mixup from directional derivative perspective.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models.
Proceedings of the International Conference on Machine Learning, 2023
Memory-Based Dual Gaussian Processes for Sequential Learning.
Proceedings of the International Conference on Machine Learning, 2023
Generative Modelling with Inverse Heat Dissipation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Interpolation consistency training for semi-supervised learning.
Neural Networks, 2022
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.
CoRR, 2022
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds.
CoRR, 2022
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning.
CoRR, 2022
Representational Multiplicity Should Be Exposed, Not Eliminated.
CoRR, 2022
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching.
Proceedings of the 25th International Conference on Information Fusion, 2022
Uncertainty-Guided Source-Free Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Non-separable Spatio-temporal Graph Kernels via SPDEs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Novel View Synthesis via Depth-guided Skip Connections.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Combining pseudo-point and state space approximations for sum-separable Gaussian Processes.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Periodic Activation Functions Induce Stationarity.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Spatio-Temporal Variational Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Dual Parameterization of Sparse Variational Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Sparse Algorithms for Markovian Gaussian Processes.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Gaussian Process Priors for View-Aware Inference.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Hilbert space methods for reduced-rank Gaussian process regression.
Stat. Comput., 2020
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning.
CoRR, 2020
Deep Residual Mixture Models.
CoRR, 2020
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Stationary Activations for Uncertainty Calibration in Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Fast Variational Learning in State-Space Gaussian Process Models.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Movement-induced Priors for Deep Stereo.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020
Scalable Exact Inference in Multi-Output Gaussian Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020
Movement Tracking by Optical Flow Assisted Inertial Navigation.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
2019
Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation.
Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis.
Proceedings of the 36th International Conference on Machine Learning, 2019
Multi-View Stereo by Temporal Nonparametric Fusion.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Unifying Probabilistic Models for Time-frequency Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2019
Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones.
Proceedings of the 22th International Conference on Information Fusion, 2019
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
ADVIO: An Authentic Dataset for Visual-Inertial Odometry.
Dataset, July, 2018
ADVIO: An Authentic Dataset for Visual-Inertial Odometry.
Dataset, July, 2018
ADVIO: An Authentic Dataset for Visual-Inertial Odometry.
Dataset, July, 2018
Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes.
IEEE Trans. Robotics, 2018
Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
Infinite-Horizon Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
State Space Gaussian Processes with Non-Gaussian Likelihood.
Proceedings of the 35th International Conference on Machine Learning, 2018
Inertial Odometry on Handheld Smartphones.
Proceedings of the 21st International Conference on Information Fusion, 2018
Robust Gyroscope-Aided Camera Self-Calibration.
Proceedings of the 21st International Conference on Information Fusion, 2018
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps.
Proceedings of the 21st International Conference on Information Fusion, 2018
ADVIO: An Authentic Dataset for Visual-Inertial Odometry.
Proceedings of the Computer Vision - ECCV 2018, 2018
Recursive Chaining of Reversible Image-to-Image Translators for Face Aging.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018
Pioneer Networks: Progressively Growing Generative Autoencoder.
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Variational Fourier Features for Gaussian Processes.
J. Mach. Learn. Res., 2017
2016
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Nonlinear state space model identification using a regularized basis function expansion.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
State Space Methods for Efficient Inference in Student-t Process Regression.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
The 10th annual MLSP competition: First place.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Expectation maximization based parameter estimation by sigma-point and particle smoothing.
Proceedings of the 17th International Conference on Information Fusion, 2014
Explicit Link Between Periodic Covariance Functions and State Space Models.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering.
IEEE Signal Process. Mag., 2013
Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
2012
Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER.
NeuroImage, 2012