For the complete list of Kalyan’s research publications and the theses he has advised, visit the MIT Data-to-AI Lab’s Publications page.
Scientific Publications
2022
AER: Auto-Encoder with Regression for Time Series Anomaly Detection
Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni
BigData-2022. In Proceedings of IEEE International Conference on Big Data, December 2022.
R&R: Metric-guided Adversarial Sentence Generation
Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Equille, Kalyan Veeramachaneni
AACL-2022. In Findings of the Association for Computational Linguistics: AACL-IJCNLP , November 2022.
AutoML to Date and Beyond: Challenges and Opportunities
Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni
CSUR-2022. In ACM Computing Surveys, November 2022.
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni
CSCW-2022. In Proceedings of the ACM Conference On Computer-Supported Cooperative Work And Social Computing, October 2022.
In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers
Lei Xu, Laure Berti-Equille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
ICONIP-2022. In Proceedings of the International Conference on Neural Information Processing, November 2022.
AdvML-2022. In KDD Workshop on Adversarial Learning Methods for Machine Learning and Data Mining, August 2022.
The Need for Interpretable Features: Motivation and Taxonomy
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni
KDD Explorations. June 2022.
Sintel: A Machine Learning Framework to Extract Insights from Signals
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Equille, Kalyan Veeramachaneni
SIGMOD-2022. In Proceedings of International Conference on Management of Data, June 2022.
[code]
2021
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
VIS-2021. In IEEE Transactions on Visualization and Computer Graphics (TVCG), January 2022.
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni
VIS-2021. In IEEE Transactions on Visualization and Computer Graphics (TVCG), January 2022.
Enabling Collaborative Data Science Development with the Ballet Framework
Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni
CSCW-2021. In Proceedings of the ACM Conference on Computer-Supported Cooperative Work and Social Computing, October 2021
Towards Reducing Biases in Combining Multiple Experts Online
Yi Sun, Ivan Ramirez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
IJCAI-2021. In Proceedings of the International Joint Conference on Artificial Intelligence, August 2021.
Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
CHI-2021. In Extended Abstracts of ACM CHI Conference on Human Factors in Computing Systems , May 2021.
Micah J. Smith, Jürgen Cito, Kalyan Veeramachaneni
Preprint. March 2021.
For the complete list of Kalyan’s research publications and the theses he has advised, visit the MIT Data-to-AI Lab’s Publications page.