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Jack Lanchantin
Jack Lanchantin
Facebook AI Research
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Title
Cited by
Cited by
Year
Opportunities and Obstacles for Deep Learning in Biology and Medicine
T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ...
Journal of the Royal Society Interface, 2018
19052018
Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
J Gao, J Lanchantin, ML Soffa, Y Qi
SPW, 2018
6652018
DeepChrome: Deep-Learning for Predicting Gene Expression from Histone Modifications
R Singh, J Lanchantin, G Robins, Y Qi
Bioinformatics, 2016
2852016
General Multi-label Image Classification with Transformers
J Lanchantin, T Wang, V Ordonez, Y Qi
CVPR, 2020
2552020
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
J Lanchantin, R Singh, Z Lin, B Wang, Y Qi
PSB, 2016
1572016
Reevaluating Adversarial Examples in Natural Language
J Morris, E Lifland, J Lanchantin, Y Ji, Y Qi
EMNLP Findings, 2020
1042020
Deep Motif: Visualizing Genomic Sequence Classifications
J Lanchantin, R Singh, Z Lin, Y Qi
ICLR (workshop track), 2016
982016
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
R Singh, J Lanchantin, A Sekhon, Y Qi
NeurIPS, 2017
802017
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction
Z Lin, J Lanchantin, Y Qi
AAAI, 2016
522016
Neural Message Passing for Multi-Label Classification
J Lanchantin, A Sekhon, Y Qi
ECML, 2019
372019
Gakco: a fast gapped k-mer string kernel using counting
R Singh, A Sekhon, K Kowsari, J Lanchantin, B Wang, Y Qi
ECML, 2017
272017
Time and Space Complexity of Graph Convolutional Networks
D Blakely, J Lanchantin, Y Qi
Preprint, 2021
232021
Graph Convolutional Networks for Epigenetic State Prediction Using Both Sequence and 3D Genome Data
J Lanchantin, Y Qi
Bioinformatics, 2020
142020
Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences
J Lanchantin, A Sekhon, C Miller, Y Qi
ACM-BCB, 2020
11*2020
Learning to Reason and Memorize with Self-Notes
J Lanchantin, S Toshniwal, J Weston, A Szlam, S Sukhbaatar
NeurIPS, 2023
102023
FastSK: fast sequence analysis with gapped string kernels
D Blakely, E Collins, R Singh, A Norton, J Lanchantin, Y Qi
Bioinformatics, 2020
72020
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification
J Lanchantin, A Sekhon, R Singh, Y Qi
arXiv, 2017
52017
Transfer string kernel for cross-context DNA-protein binding prediction
R Singh, J Lanchantin, G Robins, Y Qi
TCBB, 2016
42016
Exploring the naturalness of buggy code with recurrent neural networks
J Lanchantin, J Gao
arXiv, 2016
42016
Memory Matching Networks for Genomic Sequence Classification
J Lanchantin, R Singh, Y Qi
ICLR (workshop track), 2017
22017
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