Arshdeep Sekhon
Arshdeep Sekhon
Verified email at virginia.edu - Homepage
Title
Cited by
Cited by
Year
Attend and predict: Understanding gene regulation by selective attention on chromatin
R Singh, J Lanchantin, A Sekhon, Y Qi
Advances in neural information processing systems 30, 6785, 2017
432017
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications
A Sekhon, R Singh, Y Qi
Bioinformatics 34 (17), i891-i900, 2018
292018
Neural message passing for multi-label classification
J Lanchantin, A Sekhon, Y Qi
arXiv preprint arXiv:1904.08049, 2019
132019
GaKCo: A Fast Gapped k-mer String Kernel Using Counting
R Singh, A Sekhon, K Kowsari, J Lanchantin, B Wang, Y Qi
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
92017
Fast and scalable learning of sparse changes in high-dimensional gaussian graphical model structure
B Wang, Y Qi
International Conference on Artificial Intelligence and Statistics, 1691-1700, 2018
62018
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
B Wang, A Sekhon, Y Qi
International Conference on Machine Learning, 5161-5170, 2018
32018
Perturbing inputs for fragile interpretations in deep natural language processing
S Sinha, H Chen, A Sekhon, Y Ji, Y Qi
arXiv preprint arXiv:2108.04990, 2021
12021
Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences
J Lanchantin, T Weingarten, A Sekhon, C Miller, Y Qi
bioRxiv, 2020.12. 14.422772, 2021
12021
Evolving Image Compositions for Feature Representation Learning
P Cascante-Bonilla, A Sekhon, Y Qi, V Ordonez
arXiv preprint arXiv:2106.09011, 2021
2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG
A Sekhon, Z Wang, Y Qi
arXiv preprint arXiv:2103.02405, 2021
2021
Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences
J Lanchantin, T Weingarten, A Sekhon, C Miller, Y Qi
bioRxiv, 2020.12. 14.422772, 2021
2021
Differential Network Learning Beyond Data Samples
A Sekhon, B Wang, Z Wang, Y Qi
arXiv preprint arXiv:2004.11494, 2020
2020
JointNets: an End-to-end R package for sparse Gaussian graphical model
Z Wang, B Wang, A Sekhon, Y Qi
2019
Adding Extra Knowledge in Scalable Learning of Sparse Differential Gaussian Graphical Models
A Sekhon, B Wang, Y Qi
bioRxiv, 716852, 2019
2019
Prototype Matching Networks for Large-Scale Multi-Label Classification
J Lanchantin, A Sekhon, R Singh, Y Qi
2018
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification
J Lanchantin, A Sekhon, R Singh, Y Qi
arXiv preprint arXiv:1710.11238, 2017
2017
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural Dependency Graph
A Sekhon, Z Wang, Y Qi
Supplementaray Document for GaKCo: a Fast Gapped k-mer string Kernel using Counting
R Singh, A Sekhon, J Lanchantin, K Kowsari, B Wang, Y Qi
The system can't perform the operation now. Try again later.
Articles 1–18