Epsilon Equitable Partition: A positional analysis method for large social networks. - Kiran Kate; Balaraman Ravindran (COMAD, 2009)

QPLC: A novel multimodal biometric score fusion method. - Jayanta Basak; Kiran Kate; Vivek Tyagi; Nalini K. Ratha (CVPR Workshops, 2010)

A Gradient Descent Approach for Multi-modal Biometric Identification. - Jayanta Basak; Kiran Kate; Vivek Tyagi; Nalini K. Ratha (ICPR, 2010)

FoodSIS: a text mining system to improve the state of food safety in singapore. - Kiran Kate; Sneha Chaudhari; Andy Prapanca; Jayant Kalagnanam (KDD, 2014)

Monitoring Food Safety Violation Reports from Internet Forums. - Kiran Kate; Sumit Negi; Jayant Kalagnanam (MIE, 2014)

InfoSuggest: A System for Automated Information Gathering: With a Real-World Case Study. - Kiran Kate; Andy Prapanca; Jayant Kalagnanam (SRII Global Conference, 2014)

Yaps: Python Frontend to Stan. - Guillaume Baudart; Martin Hirzel; Kiran Kate; Louis Mandel; Avraham Shinnar (CoRR, 2018)

Machine learning in Python with no strings attached. - Guillaume Baudart; Martin Hirzel; Kiran Kate; Louis Mandel; Avraham Shinnar (MAPL@PLDI, 2019)

A semi-supervised deep learning algorithm for abnormal EEG identification. - Subhrajit Roy; Kiran Kate; Martin Hirzel (CoRR, 2019)

Type-Driven Automated Learning with Lale. - Martin Hirzel; Kiran Kate; Avraham Shinnar; Subhrajit Roy; Parikshit Ram (CoRR, 2019)

Mining Documentation to Extract Hyperparameter Schemas. - Guillaume Baudart; Peter D. Kirchner; Martin Hirzel; Kiran Kate (CoRR, 2020)

Lale: Consistent Automated Machine Learning. - Guillaume Baudart; Martin Hirzel; Kiran Kate; Parikshit Ram; Avraham Shinnar (CoRR, 2020)

Thinking Fast and Slow in AI. - Grady Booch; Francesco Fabiano; Lior Horesh; Kiran Kate; Jonathan Lenchner; Nick Linck; Andrea Loreggia; Keerthiram Murugesan; Nicholas Mattei; Francesca Rossi 001; Biplav Srivastava (AAAI, 2021)

AutoText: An End-to-End AutoAI Framework for Text. - Arunima Chaudhary; Alayt Issak; Kiran Kate; Yannis Katsis; Abel N. Valente; Dakuo Wang; Alexandre V. Evfimievski; Sairam Gurajada; Ban Kawas; A. Cristiano I. Malossi; Lucian Popa 001; Tejaswini Pedapati; et al. (AAAI, 2021)

Pipeline Combinators for Gradual AutoML. - Guillaume Baudart; Martin Hirzel; Kiran Kate; Parikshit Ram; Avraham Shinnar; Jason Tsay (NeurIPS, 2021)

Gradual AutoML using Lale. - Martin Hirzel; Kiran Kate; Parikshit Ram; Avraham Shinnar; Jason Tsay (KDD, 2022)

An Empirical Study of Modular Bias Mitigators and Ensembles. - Michael Feffer; Martin Hirzel; Samuel C. Hoffman; Kiran Kate; Parikshit Ram; Avraham Shinnar (CoRR, 2022)

Exploring Code Style Transfer with Neural Networks. - Karl Munson; Anish Savla; Chih-Kai Ting; Serenity Wade; Kiran Kate; Kavitha Srinivas (CoRR, 2022)

Navigating Ensemble Configurations for Algorithmic Fairness. - Michael Feffer; Martin Hirzel; Samuel C. Hoffman; Kiran Kate; Parikshit Ram; Avraham Shinnar (CoRR, 2022)

CodeStylist: A System for Performing Code Style Transfer Using Neural Networks. - Chih-Kai Ting; Karl Munson; Serenity Wade; Anish Savla; Kiran Kate; Kavitha Srinivas (AAAI, 2023)

Searching for Fairer Machine Learning Ensembles. - Michael Feffer; Martin Hirzel; Samuel C. Hoffman; Kiran Kate; Parikshit Ram; Avraham Shinnar (AutoML, 2023)

Towards large language model-based personal agents in the enterprise: Current trends and open problems. - Vinod Muthusamy; Yara Rizk; Kiran Kate; Praveen Venkateswaran; Vatche Isahagian; Ashu Gulati; Parijat Dube (EMNLP (Findings), 2023)

MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning. - KrishnaTeja Killamsetty; Alexandre V. Evfimievski; Tejaswini Pedapati; Kiran Kate; Lucian Popa 001; Rishabh K. Iyer (CoRR, 2023)

Training and Cross-Validating Machine Learning Pipelines with Limited Memory. - Martin Hirzel; Kiran Kate; Louis Mandel; Avraham Shinnar (AutoML, 2024)

AI for Low-Code for AI. - Nikitha Rao; Jason Tsay; Kiran Kate; Vincent J. Hellendoorn; Martin Hirzel (IUI, 2024)

Out of style: Misadventures with LLMs and code style transfer. - Karl Munson; Chih-Kai Ting; Serenity Wade; Anish Savla; Julian Dolby; Kiran Kate; Kavitha Srinivas (CoRR, 2024)

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. - Kinjal Basu 002; Ibrahim Abdelaziz; Kelsey Bradford; Maxwell Crouse; Kiran Kate; Sadhana Kumaravel; Saurabh Goyal; Asim Munawar; Yara Rizk; Xin Wang; Luis A. Lastras; Pavan Kapanipathi (CoRR, 2024)

Improving Examples in Web API Specifications using Iterated-Calls In-Context Learning. - Kush Jain; Kiran Kate; Jason Tsay; Claire Le Goues; Martin Hirzel (AST@ICSE, 2025)

Towards LLMs Robustness to Changes in Prompt Format Styles. - Lilian Ngweta; Kiran Kate; Jason Tsay; Yara Rizk (NAACL (Student Research Workshop), 2025)

LongFuncEval: Measuring the effectiveness of long context models for function calling. - Kiran Kate; Tejaswini Pedapati; Kinjal Basu 002; Yara Rizk; Vijil Chenthamarakshan; Subhajit Chaudhury; Mayank Agarwal; Ibrahim Abdelaziz (CoRR, 2025)

Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling Evaluation. - Benjamin Elder; Anupama Murthi; Jungkoo Kang; Ankita Rajaram Naik; Kiran Kate; Kinjal Basu 002; Danish Contractor (CoRR, 2025)

OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models. - Koren Lazar; Matan Vetzler; Kiran Kate; Jason Tsay; David Boaz; Himanshu Gupta; Avraham Shinnar; Rohith D. Vallam; David Amid; Esther Goldbraich; Guy Uziel; Jim Laredo; et al. (CoRR, 2025)