Matthew M. Engelhard
6 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types · Machine Learning
(3)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Clinical
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Keywords
neural network
(2)
variational inference
(1)
retrieval-augmented generation
(1)
bayesian inference
(1)
multi-label learning
(1)
interpretable machine learning
(1)
asymptotic analysis
(1)
document classification
(1)
probabilistic graphical model
(1)
tree structure
(1)
infinite tree-structured
(1)
rare event prediction
(1)
healthcare application
(1)
electronic health record
(1)
bayesian learning
(1)
linear attention
(1)
transformer encoder
(1)
hawkes process
(1)
time window
(1)
approximate inference
(1)
Papers
Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
MLHC 2025
Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
MLHC 2025
IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences
ACL 2025
Common Event Tethering to Improve Prediction of Rare Clinical Events
UAI 2024
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
MLHC 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
NeurIPS 2024