Jack Lanchantin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Sequence Classification

Protein Structure Prediction

Selective Attention

Top Venues

EMNLP (Findings)

Publications

Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR (2024)
Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha
Robustness of Named-Entity Replacements for In-Context Learning. EMNLP (Findings) (2023)
Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar
Learning to Reason and Memorize with Self-Notes. NeurIPS (2023)
Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam
A Data Source for Reasoning Embodied Agents. CoRR (2023)
Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar
Learning to Reason and Memorize with Self-Notes. CoRR (2023)
Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam
A Data Source for Reasoning Embodied Agents. AAAI (2023)
Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
General Multi-Label Image Classification With Transformers. CVPR (2021)
Jack Lanchantin, Tom Weingarten, Arshdeep Sekhon, Clint Miller, Yanjun Qi
Transfer learning for predicting virus-host protein interactions for novel virus sequences. BCB (2021)
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
Reevaluating Adversarial Examples in Natural Language. CoRR (2020)
Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
General Multi-label Image Classification with Transformers. CoRR (2020)
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) (2020)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
Neural Message Passing for Multi-Label Classification. CoRR (2019)
Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
Neural Message Passing for Multi-label Classification. ECML/PKDD (2) (2019)
Ji Gao, Jack Lanchantin, Mary Lou Soffa, Yanjun Qi
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers. CoRR (2018)
Jack Lanchantin, Ji Gao
Exploring the Naturalness of Buggy Code with Recurrent Neural Networks. CoRR (2018)
Ji Gao, Jack Lanchantin, Mary Lou Soffa, Yanjun Qi
Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers. IEEE Symposium on Security and Privacy Workshops (2018)
Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. CoRR (2017)
Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) (2017)
Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. NIPS (2017)
Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB (2017)
Jack Lanchantin, Ritambhara Singh, Yanjun Qi
Memory Matching Networks for Genomic Sequence Classification. ICLR (Workshop) (2017)
Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. CoRR (2017)
Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR (2017)
Jack Lanchantin, Ritambhara Singh, Yanjun Qi
Memory Matching Networks for Genomic Sequence Classification. CoRR (2017)
Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR (2016)
Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi
Deep Motif: Visualizing Genomic Sequence Classifications. CoRR (2016)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
DeepChrome: deep-learning for predicting gene expression from histone modifications. Bioinform. 32 (17) (2016)
Zeming Lin, Jack Lanchantin, Yanjun Qi
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. AAAI (2016)
Zeming Lin, Jack Lanchantin, Yanjun Qi
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction. CoRR (2016)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. CoRR (2016)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
DeepChrome: Deep-learning for predicting gene expression from histone modifications. CoRR (2016)