Vijil Chenthamarakshan

Orcid: 0000-0001-7830-5777

According to our database1, Vijil Chenthamarakshan authored at least 54 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
GP-MoLFormer: A Foundation Model For Molecular Generation.
CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.
CoRR, 2024

ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation.
CoRR, 2024

Structure-Informed Protein Language Model.
CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.
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

Equivariant Few-Shot Learning from Pretrained Models.
CoRR, 2023

Enhancing Protein Language Models with Structure-based Encoder and Pre-training.
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

Efficient Equivariant Transfer Learning from Pretrained Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reprogramming Pretrained Language Models for Antibody Sequence Infilling.
Proceedings of the International Conference on Machine Learning, 2023

Protein Representation Learning by Geometric Structure Pretraining.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models.
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

Optimizing molecules using efficient queries from property evaluations.
Nat. Mach. Intell., 2022

Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling.
CoRR, 2022

AlphaFold Distillation for Improved Inverse Protein Folding.
CoRR, 2022

GT4SD: Generative Toolkit for Scientific Discovery.
CoRR, 2022

Learning Geometrically Disentangled Representations of Protein Folding Simulations.
CoRR, 2022

Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework.
CoRR, 2022

Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
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

Benchmarking deep generative models for diverse antibody sequence design.
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

Explaining Chemical Toxicity using Missing Features.
CoRR, 2020

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR, 2020

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
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

Learning Implicit Text Generation via Feature Matching.
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

A Sequential Set Generation Method for Predicting Set-Valued Outputs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.
CoRR, 2018

Fairness GAN.
CoRR, 2018

Query Focused Variable Centroid Vectors for Passage Re-ranking in Semantic Search.
CoRR, 2018

2017
A cognitive assistant for risk identification and modeling.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2014
Predicting employee expertise for talent management in the enterprise.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Amplifying the voice of youth in Africa via text analytics.
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
Concept Labeling: Building Text Classifiers with Minimal Supervision.
Proceedings of the IJCAI 2011, 2011

Transfer Latent Semantic Learning: Microblog Mining with Less Supervision.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Effective decision support systems for workforce deployment.
IBM J. Res. Dev., 2010

ALPOS: A Machine Learning Approach for Analyzing Microblogging Data.
Proceedings of the ICDMW 2010, 2010

Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation.
Proceedings of the COLING 2010, 2010

Urdu and Hindi: Translation and sharing of linguistic resources.
Proceedings of the COLING 2010, 2010

PROSPECT: a system for screening candidates for recruitment.
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
Leveraging social networks for corporate staffing and expert recommendation.
IBM J. Res. Dev., 2009

Dependency Analysis Framework for Software Service Delivery.
Proceedings of the 2009 IEEE International Conference on Services Computing (SCC 2009), 2009

2008
Rule based synonyms for entity extraction from noisy text.
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008


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