Daniel D. Johnson

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Diffusion Models

Insertions And Deletions

State Transitions

Top Venues

Proc. ACM Program. Lang.

Publications

Daniel D. Johnson, Daniel Tarlow, David Duvenaud, Chris J. Maddison
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs. CoRR (2024)
Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann N. Dauphin
A density estimation perspective on learning from pairwise human preferences. Trans. Mach. Learn. Res. 2024 (2024)
Daniel D. Johnson, Daniel Tarlow, Christian Walder
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. CoRR (2023)
Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann N. Dauphin
A density estimation perspective on learning from pairwise human preferences. CoRR (2023)
Daniel D. Johnson, Daniel Tarlow, Christian Walder
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. ICML (2023)
Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions. ICLR (2023)
David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent J. Hellendoorn, Daniel D. Johnson, Daniel Tarlow
A Library for Representing Python Programs as Graphs for Machine Learning. CoRR (2022)
Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions. CoRR (2022)
Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming. Proc. ACM Program. Lang. 5 (POPL) (2021)
Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming. CoRR (2021)
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
Structured Denoising Diffusion Models in Discrete State-Spaces. CoRR (2021)
Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan
Learning Generalized Gumbel-max Causal Mechanisms. CoRR (2021)
Ningning Xie, Daniel D. Johnson, Dougal Maclaurin, Adam Paszke
Parallel Algebraic Effect Handlers. CoRR (2021)
Daniel D. Johnson, Jacob Austin, Rianne van den Berg, Daniel Tarlow
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models. CoRR (2021)
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
Structured Denoising Diffusion Models in Discrete State-Spaces. NeurIPS (2021)
Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan
Learning Generalized Gumbel-max Causal Mechanisms. NeurIPS (2021)
Daniel D. Johnson, Hugo Larochelle, Daniel Tarlow
Learning Graph Structure With A Finite-State Automaton Layer. NeurIPS (2020)
Daniel D. Johnson, Hugo Larochelle, Daniel Tarlow
Learning Graph Structure With A Finite-State Automaton Layer. CoRR (2020)
Daniel D. Johnson, Daniel Gorelik, Ross E. Mawhorter, Kyle Suver, Weiqing Gu, Steven Xing, Cody Gabriel, Peter Sankhagowit
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments. NeurIPS (2018)
Satyan L. Devadoss, Daniel D. Johnson, Justin Lee, Jackson Warley
Geometric Realizations of the 3D Associahedron (Multimedia Exposition). SoCG (2018)
Daniel D. Johnson
Generating Polyphonic Music Using Tied Parallel Networks. EvoMUSART (2017)
Daniel D. Johnson, Robert M. Keller, Nicholas Weintraut
Learning to Create Jazz Melodies Using a Product of Experts. ICCC (2017)
Daniel D. Johnson
Learning Graphical State Transitions. ICLR (2017)
Maxwell Waugaman, Zakkai Davidson, Samuel Dietrich, Daniel D. Johnson, Cassandra Meyer, Eric Storm, Avi Thaker, Ivan Wong
LEG processor for education. EWME (2016)