Daniel D. Johnson
6 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14)
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Keyword Pioneer
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Hot Topic Early Bird
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The Questioner
Conferences
ICML (3)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
image generation
(1)
variational inference
(1)
bayesian inference
(1)
decision theory
(1)
uncertainty quantification
(1)
text generation
(1)
code generation
(1)
diffusion model
(1)
causal mechanism
(1)
treatment effect estimation
(1)
counterfactual reasoning
(1)
structural causal model
(1)
discrete state space
(1)
variational lower bound
(1)
treatment effect
(1)
utility maximization
(1)
minimum bayes risk
(1)
cross entropy loss
(1)
transition matrix
(1)
large language model
(1)
Papers
Eliciting Language Model Behaviors with Investigator Agents
ICML 2025
Experts Donβt Cheat: Learning What You Donβt Know By Predicting Pairs
ICML 2024
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
ICLR 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
ICML 2023
Structured Denoising Diffusion Models in Discrete State-Spaces
NIPS 2021
Learning Generalized Gumbel-max Causal Mechanisms
NIPS 2021