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Avinash Balakrishnan
Observed name:
Balakrishnan, Avinash
Institution:
IBM (United States)
Observed institutions:
IBM (United States),
William & Mary,
IBM Research - Thomas J. Watson Research Center,
Carnegie Mellon University
ORCID:
0009-0001-8135-7911
Observed ORCID:
0009-0001-8135-7911
OpenAlex ID:
A5055412734
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
2017
·
Kumar, Abhishek
, Sattigeri, Prasanna
, et al.
·
arXiv (Cornell University)
·
177
PDF
Word Mover’s Embedding: From Word2Vec to Document Embedding
2018
·
Lingfei Wu
, Ian En-Hsu Yen
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
98
Incorporating Behavioral Constraints in Online AI Systems
2019
·
Balakrishnan, Avinash
, Bouneffouf, Djallel
, et al.
·
AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
·
59
PDF
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation
2018
·
Avinash Balakrishnan
, Djallel Bouneffouf
, et al.
·
International Joint Conference on Artificial Intelligence
·
46
PDF
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
2020
·
Kapanipathi, Pavan
, Thost, Veronika
, et al.
·
AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
·
37
PDF
Model Agnostic Contrastive Explanations for Structured Data
2019
·
Dhurandhar, Amit
, Pedapati, Tejaswini
, et al.
·
arXiv (Cornell University)
·
31
PDF
Word Mover's Embedding: From Word2Vec to Document Embedding
2018
·
Wu, Lingfei
, Yen, Ian E. H.
, et al.
·
arXiv (Cornell University)
·
15
PDF
Learning Global Transparent Models Consistent with Local Contrastive Explanations
2020
·
Pedapati, Tejaswini
, Balakrishnan, Avinash
, et al.
·
arXiv (Cornell University)
·
11
PDF
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
2020
·
Pavan Kapanipathi
, Veronika Thost
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
6
Incorporating Behavioral Constraints in Online AI Systems
2019
·
Avinash Balakrishnan
, Djallel Bouneffouf
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
6
PDF
Model Agnostic Contrastive Explanations for Classification Models
2024
·
Amit Dhurandhar
, Tejaswini Pedapati
, et al.
·
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
·
5
AI Steerability 360: A Toolkit for Steering Large Language Models
2026
·
Miehling, Erik
, Ramamurthy, Karthikeyan Natesan
, et al.
·
arXiv (Cornell University)
PDF
AI Steerability 360: A Toolkit for Steering Large Language Models
2026
·
Erik Miehling
, Karthikeyan Natesan Ramamurthy
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Learning Global Transparent Models from Local Contrastive Explanations
2020
·
Tejaswini Pedapati
, Avinash Balakrishnan
, et al.
·
arXiv (Cornell University)
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Works count:
14
Citation count:
491
H-index:
8
I10-index:
8
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