Luke B. Hewitt
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2018–2021
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | PLDI | DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. | Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sabl-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum |
| 2020 | UAI | Learning to learn generative programs with Memoised Wake-Sleep. | Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum |
| 2019 | CogSci | Inferring Structured Visual Concepts from Minimal Data. | Peng Qian, Luke B. Hewitt, Josh Tenenbaum, Roger Levy |
| 2019 | ICML | Learning to Infer Program Sketches. | Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama |
| 2018 | CogSci | Auditory scene analysis as Bayesian inference in sound source models. | Maddie Cusimano, Luke B. Hewitt, Josh Tenenbaum, Josh H. McDermott |
| 2018 | UAI | The Variational Homoencoder: Learning to learn high capacity generative models from few examples. | Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum |