Matthew Ashman
6 papers · 2023–2025 · 3 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Paradigms · Machine Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Security & Privacy
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Keywords
neural process
(2)
causal inference
(1)
representation learning
(1)
sample efficiency
(1)
causal discovery
(1)
permutation equivariance
(1)
gaussian process
(1)
causal structure
(1)
posterior estimation
(1)
stationary data
(1)
treatment effect
(1)
convolutional conditional neural process
(1)
well-calibrated prediction
(1)
functional mechanism
(1)
simulated data
(1)
spatio-temporal data
(1)
translation equivariance
(1)
bayesian meta-learning
(1)
autoregressive flow
(1)
acyclic directed mixed graph
(1)
Papers
A Meta-Learning Approach to Bayesian Causal Discovery
ICLR 2025
Gridded Transformer Neural Processes for Spatio-Temporal Data
ICML 2025
Approximately Equivariant Neural Processes
NeurIPS 2024
Noise-Aware Differentially Private Regression via Meta-Learning
NeurIPS 2024
Translation Equivariant Transformer Neural Processes
ICML 2024
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
ICLR 2023