Avinash Balakrishnan

According to our database, Avinash Balakrishnan authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model Agnostic Contrastive Explanations for Classification Models.

Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2024

DeepVoting: Learning Voting Rules with Tailored Embeddings.

Leonardo Matone, Ben Abramowitz, Nicholas Mattei, Avinash Balakrishnan

CoRR, 2024

2020

Learning Global Transparent Models from Local Contrastive Explanations.

Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar

CoRR, 2020

Learning Global Transparent Models consistent with Local Contrastive Explanations.

Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.

Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Using multi-armed bandits to learn ethical priorities for online AI systems.

Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi

IBM J. Res. Dev., 2019

Model Agnostic Contrastive Explanations for Structured Data.

Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri

CoRR, 2019

Incorporating Behavioral Constraints in Online AI Systems.

Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation.

Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations.

Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan

Proceedings of the 6th International Conference on Learning Representations, 2018

Word Mover's Embedding: From Word2Vec to Document Embedding.

Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018