Joshua V. Dillon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
5
Active years
2007–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | VideoPoet: A Large Language Model for Zero-Shot Video Generation. | Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jos Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang |
| 2023 | ICLR | Weighted Ensemble Self-Supervised Learning. | Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon |
| 2023 | UAI | SubMix: Learning to Mix Graph Sampling Heuristics. | Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni |
| 2022 | AISTATS | PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime. | Warren R. Morningstar, Alex Alemi, Joshua V. Dillon |
| 2021 | AISTATS | Density of States Estimation for Out of Distribution Detection. | Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon |
| 2021 | AISTATS | Automatic Differentiation Variational Inference with Mixtures. | Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon |
| 2020 | ICML | The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. | Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2018 | ICML | Fixing a Broken ELBO. | Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy |
| 2017 | ICLR | Deep Variational Information Bottleneck. | Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy |
| 2010 | CIKM | A unified optimization framework for robust pseudo-relevance feedback algorithms. | Joshua V. Dillon, Kevyn Collins-Thompson |
| 2010 | ICML | Asymptotic Analysis of Generative Semi-Supervised Learning. | Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon |
| 2007 | UAI | Statistical Translation, Heat Kernels and Expected Distances. | Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang |