Edward De Brouwer

44 papers A* 10A 3B 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning. CoRR Chi-Min Chan, Ehsan Hajiramezanali, Xiner Li, Edward De Brouwer, Carl Edwards, Wei Xue, Sirui Han, Yike Guo, Gabriele Scalia
2026	A*	`conf`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. AAAI Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia
2025	B	`conf`	Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States. RECOMB Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang, Minsheng Hao, Héctor Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg
2025	A*	`conf`	Modeling Complex System Dynamics with Flow Matching Across Time and Conditions. ICLR Martin Rohbeck, Edward De Brouwer, Charlotte Bunne, Jan-Christian Huetter, Anne Biton, Kelvin Y. Chen, Aviv Regev, Romain Lopez
2025	J	`jnl`	Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data. npj Digit. Medicine Ashkan Pirmani, Edward De Brouwer, Adam Arany, Martijn Oldenhof, Antoine Passemiers, Axel Faes, Tomas Kalincik, Serkan Ozakbas, Riadh Gouider, Barbara Willekens, Dana Horáková, Eva Kubala Havrdova, Francesco Patti, Alexandre Prat, Alessandra Lugaresi, Valentina Tomassini, Pierre Grammond, Elisabetta Cartechini, Izanne Roos, Cavit Boz, Raed Alroughani, Maria Pia Amato, Katherine Buzzard, Jeannette Lechner-Scott, Joana Guimarães, Claudio Solaro, Oliver Gerlach, Aysun Soysal, Jens Kuhle, Jose Luis Sanchez-Menoyo, Daniele Spitaleri, Tunde Csepany, Bart Van Wijmeersch, Radek Ampapa, Julie Prevost, Samia J. Khoury, Vincent Van Pesch, Nevin John, Davide Maimone, Bianca Weinstock-Guttman, Guy Laureys, Pamela McCombe, Yolanda Blanco, Ayse Altintas, Abdullah Al-Asmi, Justin Garber, Anneke van der Walt, Helmut Butzkueven, Koen de Gans, Csilla Rozsa, Bruce Taylor, Talal Al-Harbi, Attila Sas, Cecilia Rajda, Orla Gray, Danny Decoo, William M. Carroll, Allan G. Kermode, Marzena Fabis-Pedrini, Deborah Mason, Angel Perez-Sempere, Mihaela Simu, Neil Shuey, Bhim Singhal, Marija Cauchi, Todd A. Hardy, Sudarshini Ramanathan, Patrice Lalive, Carmen-Adella Sirbu, Stella Hughes, Tamara Castillo Trivino, Liesbet M. Peeters, Yves Moreau
2025	J	`jnl`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. CoRR Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Chanyoung Park, Gabriele Scalia
2024	A*	`conf`	Atom-Level Optical Chemical Structure Recognition with Limited Supervision. CVPR Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau
2024	J	`jnl`	Atom-Level Optical Chemical Structure Recognition with Limited Supervision. CoRR Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau
2024	A	`conf`	BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
2024	A	`conf`	Benchmarking Observational Studies with Experimental Data under Right-Censoring. AISTATS Ilker Demirel, Edward De Brouwer, Zeshan M. Hussain, Michael Oberst, Anthony Philippakis, David A. Sontag
2024	J	`jnl`	Convergence of Manifold Filter-Combine Networks. CoRR David R. Johnson, Joyce A. Chew, Siddharth Viswanath, Edward De Brouwer, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
2024	J	`jnl`	Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma. npj Digit. Medicine 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
2024	J	`jnl`	Learning Predictive Checklists with Probabilistic Logic Programming. CoRR Yukti Makhija, Edward De Brouwer, Rahul G. Krishnan
2024	—	`conf`	Model Based Clustering of Time Series Utilizing Expert ODEs. ICANN (4) András Formanek, Edward De Brouwer, Péter Antal, Yves Moreau, Adam Arany
2024	J	`jnl`	The magnitude vector of images. J. Appl. Comput. Topol. Michael F. Adamer, Edward De Brouwer, Leslie O'Bray, Bastian Rieck
2023	A*	`conf`	A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. NeurIPS Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. CoRR Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023	A*	`conf`	Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections. ICLR Edward De Brouwer, Rahul G. Krishnan
2023	J	`jnl`	Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections. CoRR Edward De Brouwer, Rahul G. Krishnan
2023	J	`jnl`	BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
2023	—	`conf`	Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations. LoG Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
2023	J	`jnl`	Inferring dynamic regulatory interaction graphs from time series data with perturbations. CoRR Dhananjay Bhaskar, Daniel Sumner Magruder, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
2023	J	`jnl`	Manifold Filter-Combine Networks. CoRR Joyce A. Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter
2023	A*	`conf`	Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. ICLR Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer
2023	J	`jnl`	Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. CoRR Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer
2022	—	`conf`	Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO). MIE 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
2022	J	`jnl`	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. 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 Trivino, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters
2022	A*	`conf`	Deep Counterfactual Estimation with Categorical Background Variables. NeurIPS Edward De Brouwer
2022	J	`jnl`	Deep Counterfactual Estimation with Categorical Background Variables. CoRR Edward De Brouwer
2022	J	`jnl`	Learning predictive checklists from continuous medical data. CoRR Yukti Makhija, Edward De Brouwer, Rahul G. Krishnan
2022	A	`conf`	Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS Edward De Brouwer, Javier González, Stephanie L. Hyland
2022	J	`jnl`	Predicting the impact of treatments over time with uncertainty aware neural differential equations. CoRR Edward De Brouwer, Javier González Hernández, Stephanie L. Hyland
2022	A*	`conf`	Topological Graph Neural Networks. ICLR Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
2021	—	`conf`	Expressive Graph Informer Networks. LOD Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau
2021	A*	`conf`	Latent Convergent Cross Mapping. ICLR Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau
2021	J	`jnl`	Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series. CoRR Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi, Houman Owhadi
2021	J	`jnl`	Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression. Comput. Methods Programs Biomed. 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 Trivino, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters
2021	J	`jnl`	The magnitude vector of images. CoRR Michael F. Adamer, Leslie O'Bray, Edward De Brouwer, Bastian Rieck, Karsten M. Borgwardt
2021	J	`jnl`	Topological Graph Neural Networks. CoRR Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
2020	J	`jnl`	Longitudinal modeling of MS patient trajectories improves predictions of disability progression. CoRR 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 Trivino, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters
2019	A*	`conf`	GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series. NeurIPS Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
2019	J	`jnl`	GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. CoRR Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau
2019	J	`jnl`	Graph Informer Networks for Molecules. CoRR Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau
2018	J	`jnl`	Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification. CoRR Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau