Edward De Brouwer
13 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Machine Learning
(12)
Artificial Intelligence
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Healthcare & Medicine
(3)
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Optimization & Theory
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Computer Vision
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Data Science & Analytics
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Mathematics & Optimization
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Keywords
causal inference
(4)
graph neural network
(2)
neural ordinary differential equation
(2)
dynamical system
(2)
time series
(2)
node classification
(2)
graph classification
(2)
domain adaptation
(1)
manifold learning
(1)
continuous-time modeling
(1)
object detection
(1)
logical reasoning
(1)
knowledge transfer
(1)
weakly supervised learning
(1)
uncertainty quantification
(1)
probabilistic reasoning
(1)
few-shot learning
(1)
pattern recognition
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signal classification
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deep learning
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Papers
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
AAAI 2026
Modeling Complex System Dynamics with Flow Matching Across Time and Conditions
ICLR 2025
Atom-Level Optical Chemical Structure Recognition with Limited Supervision
CVPR 2024
Benchmarking Observational Studies with Experimental Data under Right-Censoring
AISTATS 2024
BLIS-Net: Classifying and Analyzing Signals on Graphs
AISTATS 2024
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NeurIPS 2023
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
ICLR 2023
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
ICLR 2023
Deep Counterfactual Estimation with Categorical Background Variables
NeurIPS 2022
Predicting the impact of treatments over time with uncertainty aware neural differential equations.
AISTATS 2022
Topological Graph Neural Networks
ICLR 2022
Latent Convergent Cross Mapping
ICLR 2021
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series
NeurIPS 2019