Matthew J. Johnson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2007–2022
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICML | Unified Scaling Laws for Routed Language Models. | Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan |
| 2021 | ICFP | Parallelism-preserving automatic differentiation for second-order array languages. | Adam Paszke, Matthew J. Johnson, Roy Frostig, Dougal Maclaurin |
| 2019 | AISTATS | The LORACs Prior for VAEs: Letting the Trees Speak for the Data. | Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson |
| 2019 | ICML | SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. | Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine |
| 2018 | AISTATS | Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models. | Ardavan Saeedi, Matthew D. Hoffman, Stephen J. DiVerdi, Asma Ghandeharioun, Matthew J. Johnson, Ryan P. Adams |
| 2017 | AISTATS | Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems. | Scott W. Linderman, Matthew J. Johnson, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski |
| 2016 | ICML | The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM. | Ardavan Saeedi, Matthew D. Hoffman, Matthew J. Johnson, Ryan P. Adams |
| 2010 | ICRA | Demonstration of quadrupedal locomotion over rough terrain using the littledog robot. | Peter D. Neuhaus, Jerry E. Pratt, Matthew J. Johnson |
| 2010 | ISIT | Necessary and sufficient conditions for high-dimensional salient feature subset recovery. | Vincent Y. F. Tan, Matthew J. Johnson, Alan S. Willsky |
| 2010 | UAI | The Hierarchical Dirichlet Process Hidden Semi-Markov Model. | Matthew J. Johnson, Alan S. Willsky |
| 2007 | ICRA | A Controller for the LittleDog Quadruped Walking on Rough Terrain. | John R. Rebula, Peter D. Neuhaus, Brian V. Bonnlander, Matthew J. Johnson, Jerry E. Pratt |