Erik A. Daxberger
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs. | Erik A. Daxberger, Nina Wenzel, David Griffiths, Haiming Gang, Justin Lazarow, Gefen Kohavi, Kai Kang, Marcin Eichner, Yinfei Yang, Afshin Dehghan, Peter Grasch |
| 2025 | ICLR | MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA. | Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang |
| 2022 | ICML | Adapting the Linearised Laplace Model Evidence for Modern Deep Learning. | Javier Antorn, David Janz, James Urquhart Allingham, Erik A. Daxberger, Riccardo Barbano, Eric T. Nalisnick, Jos Miguel Hernndez-Lobato |
| 2021 | ICML | Bayesian Deep Learning via Subnetwork Inference. | Erik A. Daxberger, Eric T. Nalisnick, James Urquhart Allingham, Javier Antorn, Jos Miguel Hernndez-Lobato |
| 2020 | IJCAI | Mixed-Variable Bayesian Optimization. | Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause |
| 2017 | ICML | Distributed Batch Gaussian Process Optimization. | Erik A. Daxberger, Bryan Kian Hsiang Low |