Jes Frellsen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation. | Johannes Kruse, Ryotaro Shimizu, Kasper Lindskow, Jon Tofteskov, Michael Riis Andersen, Julian J. McAuley, Jes Frellsen |
| 2025 | AISTATS | Bayesian Circular Regression with von Mises Quasi-Processes. | Yarden Cohen, Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner, Raziel Riemer, Ari Pakman |
| 2025 | ICML | Kinetic Langevin Diffusion for Crystalline Materials Generation. | Franois R. J. Cornet, Federico Bergamin, Arghya Bhowmik, Juan Maria Garcia Lastra, Jes Frellsen, Mikkel N. Schmidt |
| 2025 | ICML | Hyper-Transforming Latent Diffusion Models. | Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen |
| 2025 | RecSys | Normative Alignment of Recommender Systems via Internal Label Shift. | Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Ryotaro Shimizu, Julian J. McAuley, Pierre-Alexandre Mattei, Jes Frellsen |
| 2024 | BMVC | GeoFormer: A Multi-Polygon Segmentation Transformer. | Maxim Khomiakov, Michael Riis Andersen, Jes Frellsen |
| 2024 | MICCAI | Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. | Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Sren Hauberg, Frederik Warburg, Aasa Feragen |
| 2024 | RecSys | RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. | Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen |
| 2024 | RecSys | EB-NeRD a large-scale dataset for news recommendation. | Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen |
| 2024 | WACV | GAST: Geometry-Aware Structure Transformer. | Maxim Khomiakov, Michael Riis Andersen, Jes Frellsen |
| 2023 | AISTATS | Adaptive Cholesky Gaussian Processes. | Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muoz, Wouter Boomsma, Jes Frellsen, Sren Hauberg |
| 2023 | ICASSP | Learning To Generate 3d Representations of Building Roofs Using Single-View Aerial Imagery. | Maxim Khomiakov, Alejandro Valverde Mahou, Alba Reinders Snchez, Jes Frellsen, Michael Riis Andersen |
| 2023 | ICLR | That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. | Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen |
| 2023 | ICML | Explainability as statistical inference. | Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei |
| 2023 | RecSys | Creating the next generation of news experience on ekstrabladet.dk with recommender systems. | Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Jes Frellsen |
| 2022 | AISTATS | Model-agnostic out-of-distribution detection using combined statistical tests. | Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sntaire, Hugo Schmutz, Lars Maale, Sren Hauberg, Jes Frellsen |
| 2022 | EMNLP | Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity. | Dennis Ulmer, Jes Frellsen, Christian Hardmeier |
| 2022 | ICLR | How to deal with missing data in supervised deep learning? | Niels Bruun Ipsen, Pierre-Alexandre Mattei, Jes Frellsen |
| 2021 | ICLR | not-MIWAE: Deep Generative Modelling with Missing not at Random Data. | Niels Bruun Ipsen, Pierre-Alexandre Mattei, Jes Frellsen |
| 2021 | ICML | Hierarchical VAEs Know What They Don't Know. | Jakob Drachmann Havtorn, Jes Frellsen, Sren Hauberg, Lars Maale |
| 2019 | ICML | MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets. | Pierre-Alexandre Mattei, Jes Frellsen |
| 2019 | ICML | Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. | Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen |
| 2017 | AAAI | The Multivariate Generalised von Mises Distribution: Inference and Applications. | Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner |
| 2016 | AISTATS | Bayesian Generalised Ensemble Markov Chain Monte Carlo. | Jes Frellsen, Ole Winther, Zoubin Ghahramani, Jesper Ferkinghoff-Borg |