Michael Riis Andersen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
8
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
20 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 | On Local Posterior Structure in Deep Ensembles. | Mikkel Jordahn, Jonas Vestergaard Jensen, Mikkel N. Schmidt, Michael Riis Andersen |
| 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 | 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 |
| 2024 | UAI | Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLP. | Peter Johannes Tejlgaard Kampen, Gustav Ragnar Stoettrup Als, Michael Riis Andersen |
| 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 | RecSys | Creating the next generation of news experience on ekstrabladet.dk with recommender systems. | Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Jes Frellsen |
| 2023 | UAI | On the role of model uncertainties in Bayesian optimisation. | Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen |
| 2021 | UAI | Uncertainty-aware sensitivity analysis using Rnyi divergences. | Topi Paananen, Michael Riis Andersen, Aki Vehtari |
| 2020 | AISTATS | Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data. | Mns Magnusson, Aki Vehtari, Johan Jonasson, Michael Riis Andersen |
| 2020 | ICML | State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. | William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin |
| 2019 | AISTATS | Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution. | Topi Paananen, Juho Piironen, Michael Riis Andersen, Aki Vehtari |
| 2019 | ICASSP | Unifying Probabilistic Models for Time-frequency Analysis. | William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin |
| 2019 | ICML | Bayesian leave-one-out cross-validation for large data. | Mns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari |
| 2019 | ICML | End-to-End Probabilistic Inference for Nonstationary Audio Analysis. | William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin |
| 2018 | AISTATS | Bayesian Structure Learning for Dynamic Brain Connectivity. | Michael Riis Andersen, Ole Winther, Lars Kai Hansen, Russell A. Poldrack, Oluwasanmi Koyejo |
| 2017 | ICASSP | EEG source imaging assists decoding in a face recognition task. | Rasmus S. Andersen, Anders U. Eliasen, Nicolai Pedersen, Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen |