Cian Eastwood
9 papers · 2018–2026 · 5 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 ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🌍 Conference Polyglot · Silver
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Deep Learning
(3)
Application Areas
(3)
Core AI
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Science
(1)
Keywords
domain generalization
(3)
disentangled representation
(2)
representation learning
(1)
contrastive learning
(1)
independent component analysis
(1)
scene understanding
(1)
source-free domain adaptation
(1)
multimodal learning
(1)
3d vision
(1)
3d scene understanding
(1)
scene representation
(1)
out-of-distribution generalization
(1)
multi-view learning
(1)
spatial ambiguity
(1)
distribution shift
(1)
invariant feature learning
(1)
spurious correlation
(1)
embedding alignment
(1)
evaluation metric
(1)
object-centric representation
(1)
Papers
Unpaired Multimodal Learning for Biological Datasets
MIDL 2026
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
ICML 2025
GIVT: Generative Infinite-Vocabulary Transformers
ECCV 2024
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
ICLR 2023
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
NeurIPS 2023
Probable Domain Generalization via Quantile Risk Minimization
NeurIPS 2022
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
ICLR 2022
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
NeurIPS 2020
A Framework for the Quantitative Evaluation of Disentangled Representations
ICLR 2018