Nick Pawlowski
9 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(12)
π
Triple Crown
π
Conference Pioneer
Conferences
NIPS (4)
ICLR (2)
ICML (2)
MICCAI (1)
Top co-authors
Keywords
structural causal model
(2)
variational inference
(2)
image segmentation
(1)
image generation
(1)
structure learning
(1)
medical imaging
(1)
posterior inference
(1)
missing value imputation
(1)
generative model
(1)
probabilistic model
(1)
latent space
(1)
counterfactual reasoning
(1)
spatial coherence
(1)
aleatoric uncertainty
(1)
directed acyclic graph
(1)
counterfactual inference
(1)
normalising flow
(1)
stochastic gradient markov chain monte carlo
(1)
brain mri
(1)
graph neural network
(1)
Papers
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
ICML 2024
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
MICCAI 2024
Measuring axiomatic soundness of counterfactual image models
ICLR 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NIPS 2023
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
ICLR 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models
ICML 2023
Simultaneous Missing Value Imputation and Structure Learning with Groups
NIPS 2022
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
NIPS 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
NIPS 2020