David Danks
8 papers · 2008–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (17)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(24)
π
Conference Pioneer
β
The Questioner
π
Trend Setter
Conferences
NIPS (3)
ACL (1)
CLEAR (1)
ICLR (1)
IJCAI (1)
PGM (1)
Top co-authors
Keywords
causal structure
(4)
causal discovery
(3)
structure learning
(2)
graphical model
(2)
time series
(2)
causal inference
(2)
distributed learning
(1)
visual reasoning
(1)
causal structure learning
(1)
real-time tracking
(1)
distributed data
(1)
dynamic graph
(1)
vision-language model
(1)
world model
(1)
algorithmic bia
(1)
equivalence class
(1)
autonomous system
(1)
dynamic bayesian network
(1)
hidden variable
(1)
distributed datum
(1)
Papers
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
ACL 2025
Causal Learning through Deliberate Undersampling
CLEAR 2023
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
ICLR 2023
Algorithmic Bias in Autonomous Systems
IJCAI 2017
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
PGM 2016
Rate-Agnostic (Causal) Structure Learning
NIPS 2015
Tracking Time-varying Graphical Structure
NIPS 2013
Integrating Locally Learned Causal Structures with Overlapping Variables
NIPS 2008