Edward De Brouwer
13 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (13)
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Academic Marathon
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(13)
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Conferences
ICLR (5)
AISTATS (3)
NIPS (3)
AAAI (1)
CVPR (1)
Top co-authors
Keywords
causal inference
(3)
image segmentation
(1)
graph signal processing
(1)
manifold learning
(1)
domain adaptation
(1)
bayesian inference
(1)
signal classification
(1)
graph classification
(1)
uncertainty quantification
(1)
deep learning
(1)
time series
(1)
pattern recognition
(1)
spectral analysis
(1)
riemannian geometry
(1)
few-shot learning
(1)
observational study
(1)
structural equation model
(1)
latent variable
(1)
neural ordinary differential equation
(1)
dimensionality reduction
(1)
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
NIPS 2023
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
ICLR 2023
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
ICLR 2023
Topological Graph Neural Networks
ICLR 2022
Predicting the impact of treatments over time with uncertainty aware neural differential equations.
AISTATS 2022
Deep Counterfactual Estimation with Categorical Background Variables
NIPS 2022
Latent Convergent Cross Mapping
ICLR 2021
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series
NIPS 2019