Michael Moor
10 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (6) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
EMNLP (3)
ICLR (2)
ICML (2)
MIDL (1)
MLHC (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
report generation
(2)
time series classification
(2)
reinforcement learning
(1)
medical imaging
(1)
question answering
(1)
few-shot learning
(1)
visual grounding
(1)
topological data analysis
(1)
autonomous agent
(1)
gaussian process
(1)
dynamic time warping
(1)
persistent homology
(1)
latent representation
(1)
personalized medicine
(1)
multimodal learning
(1)
vision-language model
(1)
supervised fine-tuning
(1)
healthcare application
(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
Zero-shot causal learning
NIPS 2023
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting
EMNLP 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