David van Dijk

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Iterative Methods

Community Question Answering

Tree Reweighted

Top Venues

Publications

Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk
BrainLM: A foundation model for brain activity recordings. ICLR (2024)
Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica A. Cardin, David van Dijk
Neural Integro-Differential Equations. AAAI (2023)
Emanuele Zappala, Daniel LeVine, Sizhuang He, Syed Asad Rizvi, Sacha Levy, David van Dijk
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods. CoRR (2023)
Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk
Continuous Spatiotemporal Transformer. ICML (2023)
Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk
Continuous Spatiotemporal Transformers. CoRR (2023)
Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk
AMPNet: Attention as Message Passing for Graph Neural Networks. CoRR (2022)
Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica Cardin, David van Dijk
Neural Integro-Differential Equations. CoRR (2022)
Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, David van Dijk
Neural Integral Equations. CoRR (2022)
Matthew Amodio, Dennis L. Shung, Daniel B. Burkhardt, Patrick Wong, Michael Simonov, Yu Yamamoto, David van Dijk, Francis Perry Wilson, Akiko Iwasaki, Smita Krishnaswamy
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference. Patterns 2 (7) (2021)
Arijit Sehanobish, Neal G. Ravindra, David van Dijk
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks. AAAI (2021)
Arijit Sehanobish, Hector H. Corzo, Onur Kara, David van Dijk
Learning Potentials of Quantum Systems using Deep Neural Networks. AAAI Spring Symposium: MLPS (2021)
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. CoRR (2020)
Neal G. Ravindra, Arijit Sehanobish, Jenna L. Pappalardo, David A. Hafler, David van Dijk
Disease State Prediction From Single-Cell Data Using Graph Attention Networks. CoRR (2020)
Neal G. Ravindra, Arijit Sehanobish, Jenna L. Pappalardo, David A. Hafler, David van Dijk
Disease state prediction from single-cell data using graph attention networks. CHIL (2020)
Arijit Sehanobish, Neal G. Ravindra, David van Dijk
Permutation invariant networks to learn Wasserstein metrics. CoRR (2020)
Arijit Sehanobish, Hector H. Corzo, Onur Kara, David van Dijk
Learning Potentials of Quantum Systems using Deep Neural Networks. CoRR (2020)
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. ICML (2020)
Antonio H. O. Fonseca, David van Dijk
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy. CoRR (2020)
Matthew Amodio, David van Dijk, Guy Wolf, Smita Krishnaswamy
Learning General Transformations of Data for Out-of-Sample Extensions. MLSP (2020)
Arijit Sehanobish, Neal G. Ravindra, David van Dijk
Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks. CoRR (2020)
Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy
Interpretable Neuron Structuring with Graph Spectral Regularization. IDA (2020)
Arijit Sehanobish, Neal G. Ravindra, David van Dijk
Self-supervised edge features for improved Graph Neural Network training. CoRR (2020)
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Finding Archetypal Spaces Using Neural Networks. IEEE BigData (2019)
Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. IEEE BigData (2019)
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Finding Archetypal Spaces for Data Using Neural Networks. CoRR (2019)
David van Dijk, Marco Ferrante, Nicola Ferro, Evangelos Kanoulas
A Markovian Approach to Evaluate Session-Based IR Systems. ECIR (1) (2019)
Scott Gigante, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy
Compressed Diffusion. CoRR (2019)
Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. CoRR (2019)
David van Dijk, Scott Gigante, Alexander Strzalkowski, Guy Wolf, Smita Krishnaswamy
Modeling Dynamics with Deep Transition-Learning Networks. CoRR (2018)
Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy
Graph Spectral Regularization for Neural Network Interpretability. CoRR (2018)
David van Dijk, Zhaochun Ren, Evangelos Kanoulas, Maarten de Rijke
The University of Amsterdam (ILPS) at TREC 2015 Total Recall Track. TREC (2015)
David van Dijk, Manos Tsagkias, Maarten de Rijke
Early Detection of Topical Expertise in Community Question Answering. SIGIR (2015)
David Graus, David van Dijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
Recipient recommendation in enterprises using communication graphs and email content. SIGIR (2014)
Zhaochun Ren, David van Dijk, David Graus, Nina van der Knaap, Hans Henseler, Maarten de Rijke
Semantic Linking and Contextualization for Social Forensic Text Analysis. EISIC (2013)
David van Dijk, Gökhan Ertaylan, Charles A. B. Boucher, Peter M. A. Sloot
Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks. BMC Syst. Biol. 4 (2010)
David van Dijk, Peter M. A. Sloot, J. C. Tay, Martijn C. Schut
Individual-based simulation of sexual selection: A quantitative genetic approach. ICCS (1) (2010)