Inkit Padhi - Concepedia

Author

Inkit Padhi

IBM (United States)

Also Known As

Chenthamarakshan, Vijil, Fan Li, Inkit Padhi, Miehling, Erik, Padhi, Inkit

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

IBM (United States)

About

Inkit Padhi is an author at IBM (United States) specializing in engineering, computational linguistics, and language studies.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	604
2	Language Studies	5	5	418
3	Medicine	2	2	92
4	Biomolecular Engineering	2	2	92
5	Natural Sciences	1	1	22

Inkit Padhi

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Large-scale chemical language representations capture molecular structure and properties Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Nature Machine Intelligence EngineeringMolecular PropertyMolecular GraphicComputational ChemistryChemistry	2022	396
Does String-Based Neural MT Learn Source Syntax? Xing Shi, Inkit Padhi, Kevin Knight SyntaxComputational LinguisticsGrammarGrammar InductionLanguage Studies	2016	324
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, neural information processing systems Drug TargetEngineeringSelective Drug DesignMolecular BiologyCovid-19	2020	56
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text Nishtha Madaan, Inkit Padhi, Naveen Panwar, Proceedings of the AAAI Conference on Artificial Intelligence Semantic Role LabelingEngineeringMachine LearningTextual EntailmentCorpus Linguistics	2021	40
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge Pierre Dognin, Igor Melnyk, Youssef Mroueh, Journal of Artificial Intelligence Research	2022	37
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, arXiv (Cornell University) Drug TargetEngineeringSelective Drug DesignMolecular BiologyCovid-19	2020	36
Accelerating material design with the generative toolkit for scientific discovery Matteo Manica, Jannis Born, Joris Cadow, npj Computational Materials	2023	33
The Impact of Positional Encoding on Length Generalization in Transformers Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, arXiv (Cornell University) Structured PredictionLlm Fine-tuningEngineeringMachine LearningMultilingual Pretraining	2023	33
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, arXiv (Cornell University)	2021	31
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text Nishtha Madaan, Inkit Padhi, Naveen Panwar, arXiv (Cornell University)	2020	30

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