Michael Moor
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Century Club Β· Bronze
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Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(4)
Core Methods
(4)
Healthcare & Medicine
(3)
Architectures
(3)
Clinical
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Applications
(2)
Learning Paradigms
(2)
Learning Types
(2)
Application Areas
(1)
Generation
(1)
Keywords
time series classification
(2)
persistent homology
(2)
report generation
(2)
topological data analysis
(2)
large language model
(2)
medical imaging
(1)
graph classification
(1)
reinforcement learning
(1)
visual grounding
(1)
model architecture
(1)
few-shot learning
(1)
deep learning
(1)
algebraic topology
(1)
multimodal learning
(1)
weisfeiler-lehman test
(1)
gaussian process
(1)
dynamic time warping
(1)
question answering
(1)
latent representation
(1)
zero-shot learning
(1)
Papers
RadVLM-GRPO: Enhancing Chest X-ray Report Generation and Visual Grounding via Reinforcement Learning
MIDL 2026
Agent Laboratory: Using LLM Agents as Research Assistants
EMNLP 2025
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
EMNLP 2025
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting
EMNLP 2023
Zero-shot causal learning
NeurIPS 2023
Topological Graph Neural Networks
ICLR 2022
Set Functions for Time Series
ICML 2020
Topological Autoencoders
ICML 2020
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
MLHC 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
ICLR 2019