David van Dijk

发表

Disease state prediction from single-cell data using graph attention networks

David van Dijk, David A. Hafler, Neal G. Ravindra, 2020, CHIL.

Manifold learning-based methods for analyzing single-cell RNA-sequencing data

David van Dijk, Kevin R. Moon, Smita Krishnaswamy, 2018 .

Deep Transition-Encoding Networks for Learning Dynamics

David van Dijk, Guy Wolf, Scott Gigante, 2018 .

Modeling Dynamics with Deep Transition-Learning Networks pdf

David van Dijk, Smita Krishnaswamy, Guy Wolf, 2018, ArXiv.

Early Detection of Topical Expertise in Community Question Answering

David van Dijk, Maarten de Rijke, Manos Tsagkias, 2015, SIGIR.

Visualizing Transitions and Structure for Biological Data Exploration

David van Dijk, Ronald R. Coifman, Kevin R. Moon, 2017 .

MAGIC - Markov Affinity-Based Graph Imputation of Cells [R package Rmagic version 2.0.3]

David van Dijk, D. V. Dijk, 2019 .

Compressed Diffusion

David van Dijk, Kevin R. Moon, Smita Krishnaswamy, 2019, 2019 13th International conference on Sampling Theory and Applications (SampTA).

Out-of-Sample Extrapolation with Neuron Editing

David van Dijk, Smita Krishnaswamy, Guy Wolf, 2018 .

A Markovian Approach to Evaluate Session-Based IR Systems

David van Dijk, Nicola Ferro, Evangelos Kanoulas, 2019, Lecture Notes in Computer Science.

Self-supervised edge features for improved Graph Neural Network training pdf

David van Dijk, Neal G. Ravindra, Arijit Sehanobish, 2020, ArXiv.

Learning Potentials of Quantum Systems using Deep Neural Networks pdf

David van Dijk, Arijit Sehanobish, Hector H. Corzo, 2020, AAAI Spring Symposium: MLPS.

Coarse Graining of Data via Inhomogeneous Diffusion Condensation

David van Dijk, Kevin R. Moon, Smita Krishnaswamy, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Finding Archetypal Spaces for Data Using Neural Networks pdf

David van Dijk, Smita Krishnaswamy, Guy Wolf, 2019, ArXiv.

Visualizing Structure and Transitions for Biological Data Exploration

David van Dijk, Ronald R. Coifman, Kevin R. Moon, 2017, bioRxiv.

Abstract 5306: SAUCIE: Sparse autoencoder for unsupervised clustering, imputation, and embedding

David van Dijk, Kevin R. Moon, Smita Krishnaswamy, 2018 .

Recipient recommendation in enterprises using communication graphs and email content

David van Dijk, Maarten de Rijke, Wouter Weerkamp, 2014, SIGIR.

Graph Spectral Regularization for Neural Network Interpretability pdf

David van Dijk, Smita Krishnaswamy, Guy Wolf, 2018, ArXiv.

Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks pdf

David van Dijk, Arijit Sehanobish, Neal Ravindra, 2020, AAAI.

The University of Amsterdam (ILPS) at TREC 2015 Total Recall Track

David van Dijk, Maarten de Rijke, Evangelos Kanoulas, 2015, TREC.

Visualizing Structure and Transitions for Biological Data Exploration

David van Dijk, Ronald R. Coifman, Kevin R. Moon, 2018 .

Embedding single-cell experimental conditions to reveal manifold structure of cancer drug perturbation effects

David van Dijk, Guy Wolf, Smita Krishnaswamy, 2018 .

Individual-based simulation of sexual selection: A quantitative genetic approach

Peter M. A. Sloot, David van Dijk, Martijn C. Schut, 2010, ICCS.

Embedding the single-cell sample manifold to reveal insights into cancer pathogenesis and disease heterogeneity

David van Dijk, Guy Wolf, Smita Krishnaswamy, 2018, bioRxiv.

Permutation invariant networks to learn Wasserstein metrics pdf

David van Dijk, Arijit Sehanobish, Neal Ravindra, 2020, ArXiv.

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics pdf

David van Dijk, Smita Krishnaswamy, Guy Wolf, 2020, ICML.

Finding Archetypal Spaces Using Neural Networks

David van Dijk, Guy Wolf, Alexander Tong, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Modeling Dynamics of Biological Systems with Deep Generative Neural Networks

David van Dijk, Kevin R. Moon, Smita Krishnaswamy, 2018 .

Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks

Peter M. A. Sloot, David van Dijk, Gökhan Ertaylan, 2010, BMC Systems Biology.

Semantic Linking and Contextualization for Social Forensic Text Analysis

David van Dijk, Maarten de Rijke, Hans Henseler, 2013, 2013 European Intelligence and Security Informatics Conference.

Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks

David van Dijk, Arijit Sehanobish, Neal Ravindra, 2020, AAAI.

Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference

David van Dijk, Daniel B. Burkhardt, Patrick Wong, 2021, Patterns.

Publication metrics and success on the academic job market

David van Dijk, Lucas B. Carey, Ohad Manor, 2014, Current Biology.