Javier Antorn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Stochastic Gradient Descent for Gaussian Processes Done Right. | Jihao Andreas Lin, Shreyas Padhy, Javier Antorn, Austin Tripp, Alexander Terenin, Csaba Szepesvri, Jos Miguel Hernndez-Lobato, David Janz |
| 2023 | ICLR | Sampling-based inference for large linear models, with application to linearised Laplace. | Javier Antorn, Shreyas Padhy, Riccardo Barbano, Eric T. Nalisnick, David Janz, Jos Miguel Hernndez-Lobato |
| 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 | AIES | Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. | Umang Bhatt, Javier Antorn, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melanon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang |
| 2021 | ICLR | Getting a CLUE: A Method for Explaining Uncertainty Estimates. | Javier Antorn, Umang Bhatt, Tameem Adel, Adrian Weller, 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 |
| 2019 | ICMLA | Disentangling and Learning Robust Representations with Natural Clustering. | Javier Antorn, Antonio Miguel |