Nick Pawlowski
9 papers · 2020–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird π Triple Crown
π
Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(5)
Deep Learning
(3)
Optimization & Theory
(3)
Architectures
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Types
(2)
Models
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core Methods
(1)
Keywords
structural causal model
(3)
variational inference
(3)
counterfactual inference
(2)
causal inference
(2)
structure learning
(1)
causal discovery
(1)
medical imaging
(1)
transformer
(1)
posterior inference
(1)
missing value imputation
(1)
generative model
(1)
probabilistic model
(1)
distance metric
(1)
structural equation model
(1)
latent space
(1)
treatment effect estimation
(1)
counterfactual reasoning
(1)
deep generative model
(1)
spatial coherence
(1)
aleatoric uncertainty
(1)
Papers
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
MICCAI 2024
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
ICML 2024
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NeurIPS 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models
ICML 2023
Measuring axiomatic soundness of counterfactual image models
ICLR 2023
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
ICLR 2023
Simultaneous Missing Value Imputation and Structure Learning with Groups
NeurIPS 2022
Deep Structural Causal Models for Tractable Counterfactual Inference
NeurIPS 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
NeurIPS 2020