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List of works by Jes Frellsen

A Continuous Relaxation for Discrete Bayesian Optimization ⬇️

scientific article published on 26 April 2024

A probabilistic model of RNA conformational space ⬇️

scientific article

Adaptable probabilistic mapping of short reads using position specific scoring matrices

scientific article

Algorithms for Mapping High-Throughput DNA Sequences

Asap: a framework for over-representation statistics for transcription factor binding sites

scientific article published in 2008

Benchmarking Generative Latent Variable Models for Speech ⬇️

scientific article published on 22 February 2022

Beyond rotamers: a generative, probabilistic model of side chains in proteins

scientific article

Bounds all around: training energy-based models with bidirectional bounds ⬇️

article published in 2021

EB-NeRD a large-scale dataset for news recommendation

Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.

scientific article

Formulation of probabilistic models of protein structure in atomic detail using the reference ratio method.

scientific article

GAST: Geometry-Aware Structure Transformer ⬇️

scientific article published in January 2024

Generative probabilistic models extend the scope of inferential structure determination

scientific article

Hierarchical VAEs Know What They Don't Know ⬇️

scientific article published on 16 February 2021

Implicit Variational Inference for High-Dimensional Posteriors ⬇️

scientific article published on 10 October 2023

Inference of structure ensembles of flexible biomolecules from sparse, averaged data

scientific article

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Learning To Generate 3d Representations of Building Roofs Using Single-View Aerial Imagery

Leveraging the Exact Likelihood of Deep Latent Variable Models ⬇️

scholarly article by Pierre-Alexandre Mattei & Jes Frellsen published 28 June 2018 in Advances in Neural Information Processing Systems 31

Model-agnostic out-of-distribution detection using combined statistical tests ⬇️

scientific article published on 2 March 2022

Navigating Uncertainty in Medical Image Segmentation

Neural network predictions of the simulated rheological response of cement paste in the FlowCyl

scientific article published on 22 April 2021

On the accuracy of short read mapping

scientific article

PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structure

scientific article

Polygonizer: An auto-regressive building delineator ⬇️

Potentials of mean force for protein structure prediction vindicated, formalized and generalized

scientific article

Probabilistic Models of Local Biomolecular Structure and Their Applications

Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problem

RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations

Spherical convolutions and their application in molecular modelling ⬇️

scholarly article by Wouter Boomsma & Jes Frellsen published 2017 in Advances in Neural Information Processing Systems 30

Statistics of Bivariate von Mises Distributions

That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation ⬇️

The Multivariate Generalised von Mises distribution: Inference and applications ⬇️

Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method

article

When Did the Train Arrive? A Bayesian Approach to Enrich Timetable Information Using Smart Card Data

scientific article

deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks ⬇️

scientific article published on 14 April 2022

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