Matthew M. Engelhard
6 papers · 2024–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (14) π Renaissance Researcher (6)
πΊοΈ
Taxonomy Completionist
(12)
Conferences
MLHC (3)
ACL (1)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
approximate inference
(1)
variational inference
(1)
bayesian learning
(1)
bayesian inference
(1)
interpretable machine learning
(1)
document classification
(1)
probabilistic graphical model
(1)
tree structure
(1)
infinite tree-structured
(1)
healthcare application
(1)
linear attention
(1)
disease risk prediction
(1)
retrieval-augmented classification
(1)
long-document processing
(1)
linear attention mechanism
(1)
kernel methods
(1)
neural network
(1)
long-document classification
(1)
Papers
IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences
ACL 2025
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
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
NIPS 2024
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
MLHC 2024
Common Event Tethering to Improve Prediction of Rare Clinical Events
UAI 2024