Avinash Balakrishnan

16 papers A* 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI Steerability 360: A Toolkit for Steering Large Language Models.
CoRR
Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Irene Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney
2024 J jnl
DeepVoting: Learning Voting Rules with Tailored Embeddings.
CoRR
Leonardo Matone, Ben Abramowitz, Nicholas Mattei, Avinash Balakrishnan
2024 J jnl
Model Agnostic Contrastive Explanations for Classification Models.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri
2020 A* conf
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.
AAAI
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
2020 A* conf
Learning Global Transparent Models consistent with Local Contrastive Explanations.
NeurIPS
Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar
2020 J jnl
Learning Global Transparent Models from Local Contrastive Explanations.
CoRR
Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar
2019 A* conf
Incorporating Behavioral Constraints in Online AI Systems.
AAAI
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2019 J jnl
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.
CoRR
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
2019 J jnl
Model Agnostic Contrastive Explanations for Structured Data.
CoRR
Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri
2019 J jnl
Using multi-armed bandits to learn ethical priorities for online AI systems.
IBM J. Res. Dev.
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2018 J jnl
Incorporating Behavioral Constraints in Online AI Systems.
CoRR
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2018 A* conf
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation.
IJCAI
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
2018 — conf
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations.
ICLR (Poster)
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan
2018 A* conf
Word Mover's Embedding: From Word2Vec to Document Embedding.
EMNLP
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
2018 J jnl
Word Mover's Embedding: From Word2Vec to Document Embedding.
CoRR
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
2017 J jnl
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations.
CoRR
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan