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04/08/2023
Polygonizer: An auto-regressive building delineator
In geospatial planning, it is often essential to represent objects in a ...
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03/28/2023
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation
Segmentation uncertainty models predict a distribution over plausible se...
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03/23/2023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
Out of distribution (OOD) medical images are frequently encountered, e.g...
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03/20/2023
Learning to Generate 3D Representations of Building Roofs Using Single-View Aerial Imagery
We present a novel pipeline for learning the conditional distribution of...
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02/27/2023
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters
After the recent ground-breaking advances in protein structure predictio...
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12/06/2022
Explainability as statistical inference
A wide variety of model explanation approaches have been proposed in rec...
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12/02/2022
SolarDK: A high-resolution urban solar panel image classification and localization dataset
The body of research on classification of solar panel arrays from aerial...
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04/14/2022
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks
A lot of Machine Learning (ML) and Deep Learning (DL) research is of an ...
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03/02/2022
Model-agnostic out-of-distribution detection using combined statistical tests
We present simple methods for out-of-distribution detection using a trai...
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02/22/2022
Benchmarking Generative Latent Variable Models for Speech
Stochastic latent variable models (LVMs) achieve state-of-the-art perfor...
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02/22/2022
Adaptive Cholesky Gaussian Processes
We present a method to fit exact Gaussian process models to large datase...
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01/26/2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives
We revisit the theory of importance weighted variational inference (IWVI...
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11/01/2021
Bounds all around: training energy-based models with bidirectional bounds
Energy-based models (EBMs) provide an elegant framework for density esti...
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07/22/2021
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
Algorithms involving Gaussian processes or determinantal point processes...
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03/29/2021
Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation
In this paper, we introduce a novel combination of Bayesian Models (BMs)...
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02/16/2021
Hierarchical VAEs Know What They Don't Know
Deep generative models have shown themselves to be state-of-the-art dens...
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02/12/2021
Sequential Neural Posterior and Likelihood Approximation
We introduce the sequential neural posterior and likelihood approximatio...
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06/23/2020
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
When a missing process depends on the missing values themselves, it need...
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02/10/2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
Generative Adversial Networks (GANs) have made a major impact in compute...
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01/29/2019
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
We present a novel family of deep neural architectures, named partially ...
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12/06/2018
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
We consider the problem of handling missing data with deep latent variab...
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12/06/2018
missIWAE: Deep Generative Modelling and Imputation of Incomplete Data
We present a simple technique to train deep latent variable models (DLVM...
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02/13/2018
Leveraging the Exact Likelihood of Deep Latent Variable Models
Deep latent variable models combine the approximation abilities of deep ...
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02/13/2018
Leveraging the Exact Likelihood of Deep Latent Variables Models
Deep latent variable models combine the approximation abilities of deep ...
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07/13/2017
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation
In this paper, we study the trade-offs of different inference approaches...
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10/26/2016
Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation
We present a fast variational Bayesian algorithm for performing non-nega...
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02/16/2016
