Edward De Brouwer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Weakly Supervised

Machine Learning

Dimensionality Reduction

Top Venues

Publications

Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS (2024)
Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau
Atom-Level Optical Chemical Structure Recognition with Limited Supervision. CoRR (2024)
Ilker Demirel, Edward De Brouwer, Zeshan M. Hussain, Michael Oberst, Anthony Philippakis, David A. Sontag
Benchmarking Observational Studies with Experimental Data under Right-Censoring. AISTATS (2024)
Zeshan M. Hussain, Edward De Brouwer, Rebecca Boiarsky, Sama Setty, Neeraj Gupta, Guohui Liu, Cong Li, Jaydeep Srimani, Jacob Zhang, Rich Labotka, David A. Sontag
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma. npj Digit. Medicine 7 (1) (2024)
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. CoRR (2023)
Dhananjay Bhaskar, Daniel Sumner Magruder, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
Inferring dynamic regulatory interaction graphs from time series data with perturbations. CoRR (2023)
Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR (2023)
Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations. LoG (2023)
Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. CoRR (2023)
Edward De Brouwer, Rahul G. Krishnan
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections. CoRR (2023)
Edward De Brouwer, Rahul G. Krishnan
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections. ICLR (2023)
Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. ICLR (2023)
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. NeurIPS (2023)
Joyce Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter
Manifold Filter-Combine Networks. CoRR (2023)
Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
Topological Graph Neural Networks. ICLR (2022)
Yukti Makhija, Edward De Brouwer, Rahul G. Krishnan
Learning predictive checklists from continuous medical data. CoRR (2022)
Edward De Brouwer
Deep Counterfactual Estimation with Categorical Background Variables. NeurIPS (2022)
Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters
Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]. Comput. Methods Programs Biomed. 213 (2022)
Edward De Brouwer, Javier González Hernández, Stephanie L. Hyland
Predicting the impact of treatments over time with uncertainty aware neural differential equations. CoRR (2022)
Edward De Brouwer, Javier Gonzalez, Stephanie L. Hyland
Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS (2022)
Ploingarm Petsophonsakul, Ashkan Pirmani, Edward De Brouwer, Murat Akand, Wouter Botermans, Frank Van Der Aa, Joris Robert Vermeesch, Fritz Offner, Roel Wuyts, Yves Moreau, Ingrid Maes, Ines Blockx, Patricia Van Rompuy, Martine Lewi, Bart Vannieuwenhuyse
Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO). MIE (2022)
Edward De Brouwer
Deep Counterfactual Estimation with Categorical Background Variables. CoRR (2022)
Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau
Latent Convergent Cross Mapping. ICLR (2021)
Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression. Comput. Methods Programs Biomed. 208 (2021)
Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi, Houman Owhadi
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series. CoRR (2021)
Michael F. Adamer, Leslie O'Bray, Edward De Brouwer, Bastian Rieck, Karsten M. Borgwardt
The magnitude vector of images. CoRR (2021)
Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
Topological Graph Neural Networks. CoRR (2021)
Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau
Expressive Graph Informer Networks. LOD (2021)
Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters
Longitudinal modeling of MS patient trajectories improves predictions of disability progression. CoRR (2020)
Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. CoRR (2019)
Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau
Graph Informer Networks for Molecules. CoRR (2019)
Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series. NeurIPS (2019)
Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification. CoRR (2018)