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Avinash Balakrishnan
Avinash Balakrishnan
Research software engineer , IBM Research
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Variational inference of disentangled latent concepts from unlabeled observations
A Kumar, P Sattigeri, A Balakrishnan
arXiv preprint arXiv:1711.00848, 2017
5422017
Word mover's embedding: From word2vec to document embedding
L Wu, IEH Yen, K Xu, F Xu, A Balakrishnan, PY Chen, P Ravikumar, ...
arXiv preprint arXiv:1811.01713, 2018
1352018
Incorporating behavioral constraints in online AI systems
A Balakrishnan, D Bouneffouf, N Mattei, F Rossi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3-11, 2019
842019
Model agnostic contrastive explanations for structured data
A Dhurandhar, T Pedapati, A Balakrishnan, PY Chen, K Shanmugam, ...
arXiv preprint arXiv:1906.00117, 2019
802019
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation.
A Balakrishnan, D Bouneffouf, N Mattei, F Rossi
IJCAI, 5802-5804, 2018
662018
Infusing knowledge into the textual entailment task using graph convolutional networks
P Kapanipathi, V Thost, SS Patel, S Whitehead, I Abdelaziz, ...
Proceedings of the AAAI conference on artificial intelligence 34 (05), 8074-8081, 2020
542020
Using multi-armed bandits to learn ethical priorities for online AI systems
A Balakrishnan, D Bouneffouf, N Mattei, F Rossi
IBM Journal of Research and Development 63 (4/5), 1: 1-1: 13, 2019
362019
Learning global transparent models consistent with local contrastive explanations
T Pedapati, A Balakrishnan, K Shanmugam, A Dhurandhar
Advances in neural information processing systems 33, 3592-3602, 2020
332020
Constrained decision-making and explanation of a recommendation
A Balakrishnan, D Bouneffouf, N Mattei, F Rossi
US Patent App. 16/050,176, 2020
102020
Model agnostic contrastive explanations for structured data
A Dhurandhar, PY Chen, K Shanmugam, T Pedapati, A Balakrishnan, ...
US Patent 11,507,787, 2022
52022
Infusing knowledge into natural language processing tasks using graph structures
PK Bangalore, K Talamadupula, V Thost, SS Patel, I Abdelaziz, ...
US Patent 11,429,876, 2022
2022
Learning Global Transparent Models from Local Contrastive Explanations.
T Pedapati, A Balakrishnan, K Shanmugam, A Dhurandhar
CoRR, 2020
2020
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