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Vijil Chenthamarakshan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

20

Venues

11

Active years

2008–2026

Best venue rank

A*

Where they publish

Papers

20 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIGP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance.Jir Navrtil, Jarret Ross, Payel Das, Youssef Mroueh, Samuel C. Hoffman, Vijil Chenthamarakshan, Brian Belgodere
2025ICMLAligning Protein Conformation Ensemble Generation with Physical Feedback.Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aurlie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
2024ICMLLarimar: Large Language Models with Episodic Memory Control.Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurlie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jir Navrtil, Soham Dan, Pin-Yu Chen
2023AAAIEqui-Tuning: Group Equivariant Fine-Tuning of Pretrained Models.Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
2023ICLRProtein Representation Learning by Geometric Structure Pretraining.Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurlie C. Lozano, Payel Das, Jian Tang
2023ICMLReprogramming Pretrained Language Models for Antibody Sequence Infilling.Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
2022ICASSPAugmenting Molecular Deep Generative Models with Topological Data Analysis Representations.Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das
2021ICMLFold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
2020ACLLearning Implicit Text Generation via Feature Matching.Inkit Padhi, Pierre L. Dognin, Ke Bai, Ccero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2019AAAIA Sequential Set Generation Method for Predicting Set-Valued Outputs.Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
2019ICLRInteractive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Ccero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan
2014KDDPredicting employee expertise for talent management in the enterprise.Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic
2013KDDAmplifying the voice of youth in Africa via text analytics.Prem Melville, Vijil Chenthamarakshan, Richard D. Lawrence, James Powell, Moses Mugisha, Sharad Sapra, Rajesh Anandan, Solomon Assefa
2011AAAITransfer Latent Semantic Learning: Microblog Mining with Less Supervision.Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan
2011IJCAIConcept Labeling: Building Text Classifiers with Minimal Supervision.Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence
2010CIKMPROSPECT: a system for screening candidates for recruitment.Amit Singh, Rose Catherine, Karthik Visweswariah, Vijil Chenthamarakshan, Nandakishore Kambhatla
2010COLINGUrdu and Hindi: Translation and sharing of linguistic resources.Karthik Visweswariah, Vijil Chenthamarakshan, Nandakishore Kambhatla
2010COLINGSyntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation.Karthik Visweswariah, Jir Navrtil, Jeffrey S. Sorensen, Vijil Chenthamarakshan, Nandakishore Kambhatla
2010ICDMALPOS: A Machine Learning Approach for Analyzing Microblogging Data.Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan
2008SIGIRRule based synonyms for entity extraction from noisy text.Rema Ananthanarayanan, Vijil Chenthamarakshan, Prasad M. Deshpande, Raghuram Krishnapuram