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Daniel D. Johnson
Daniel D. Johnson
University of Toronto (previously Google DeepMind)
Verificeret mail på cs.toronto.edu - Startside
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Structured Denoising Diffusion Models in Discrete State-Spaces
J Austin, D Johnson, J Ho, D Tarlow, R Berg
Advances in Neural Information Processing Systems, 2021, 2021
8532021
Generating Polyphonic Music Using Tied Parallel Networks
DD Johnson
International Conference on Evolutionary and Biologically Inspired Music and …, 2017
1462017
Learning Graphical State Transitions
DD Johnson
International Conference on Learning Representations, 2017
1292017
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming
A Paszke, DD Johnson, D Duvenaud, D Vytiniotis, A Radul, MJ Johnson, ...
Proceedings of the ACM on Programming Languages 5 (ICFP), 1-29, 2021
572021
Learning to Create Jazz Melodies Using a Product of Experts
DD Johnson, RM Keller, N Weintraut
Eighth International Conference on Computational Creativity, ICCC, Atlanta, 2017, 0
30*
Contrastive learning can find an optimal basis for approximately view-invariant functions
DD Johnson, A El Hanchi, CJ Maddison
The Eleventh International Conference on Learning Representations, 2022
212022
Learning Generalized Gumbel-max Causal Mechanisms
G Lorberbom, DD Johnson, CJ Maddison, D Tarlow, T Hazan
Advances in Neural Information Processing Systems 34, 26792-26803, 2021
212021
Learning Graph Structure With A Finite-State Automaton Layer
DD Johnson, H Larochelle, D Tarlow
Advances in Neural Information Processing Systems 33, 2020
202020
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models
DD Johnson, J Austin, R van den Berg, D Tarlow
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021
182021
A density estimation perspective on learning from pairwise human preferences
V Dumoulin, DD Johnson, PS Castro, H Larochelle, Y Dauphin
Transactions on Machine Learning Research, 2023
82023
RU-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
DD Johnson, D Tarlow, C Walder
International Conference on Machine Learning 2023, 2023
72023
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs
DD Johnson, D Tarlow, D Duvenaud, CJ Maddison
International Conference on Machine Learning 2024, 2024
42024
A Library for Representing Python Programs as Graphs for Machine Learning
D Bieber, K Shi, P Maniatis, C Sutton, V Hellendoorn, D Johnson, ...
arXiv preprint arXiv:2208.07461, 2022
42022
Parallel Algebraic Effect Handlers
N Xie, DD Johnson, D Maclaurin, A Paszke
Proceedings of the ACM on Programming Languages 8 (ICFP), 756-788, 2024
32024
Machine-learned models for generating code snippets with predicted placeholders for optimizing software development
DDW Johnson, DS Tarlow, M Tabachnyk, MH Rasi, J Austin, ...
US Patent 11,972,234, 2024
22024
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
D Johnson, D Gorelik, RE Mawhorter, K Suver, W Gu, S Xing, C Gabriel, ...
Advances in Neural Information Processing Systems, 3465-3474, 2018
22018
Penzai+ Treescope: A Toolkit for Interpreting, Visualizing, and Editing Models As Data
DD Johnson
arXiv preprint arXiv:2408.00211, 2024
12024
LEG processor for education
M Waugaman, Z Davidson, S Dietrich, D Johnson, C Meyer, E Storm, ...
2016 11th European Workshop on Microelectronics Education (EWME), 1-5, 2016
12016
Geometric Realizations of the 3D Associahedron (Multimedia Exposition)
SL Devadoss, DD Johnson, J Lee, J Warley
34th International Symposium on Computational Geometry (SoCG 2018), 2018
2018
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Artikler 1–19