Vijil Chenthamarakshan
Orcid: 0000-0001-7830-5777
According to our database1,
Vijil Chenthamarakshan
authored at least 54 papers
between 2008 and 2024.
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Bibliography
2024
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening.
J. Chem. Inf. Model., May, 2023
CoRR, 2023
Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction.
CoRR, 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Large-scale chemical language representations capture molecular structure and properties.
Nat. Mac. Intell., December, 2022
Nat. Mach. Intell., 2022
CoRR, 2022
CoRR, 2022
Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework.
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model.
CoRR, 2021
Do Large Scale Molecular Language Representations Capture Important Structural Information?
CoRR, 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics.
CoRR, 2020
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR, 2020
CoRR, 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network.
IBM J. Res. Dev., 2019
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
CoRR, 2018
2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
2012
WYSIWYE: An Algebra for Expressing Spatial and Textual Rules for Information Extraction.
Proceedings of the Web-Age Information Management - 13th International Conference, 2012
2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the ICDMW 2010, 2010
Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation.
Proceedings of the COLING 2010, 2010
Proceedings of the COLING 2010, 2010
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Measuring Compliance and Deviations in a Template-Based Service Contract Development Process.
Proceedings of the 2010 IEEE International Conference on Services Computing, 2010
2009
IBM J. Res. Dev., 2009
Proceedings of the 2009 IEEE International Conference on Services Computing (SCC 2009), 2009
2008
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008