A novel method for two-speaker segmentation. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Narayanaswamy Balakrishnan (INTERSPEECH, 2004)

Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification. - Balakrishnan Narayanaswamy; Rashmi Gangadharaiah (ICASSP (1), 2005)

The sequential decoding metric for detection in sensor networks. - Balakrishnan Narayanaswamy; Yaron Rachlin; Rohit Negi; Pradeep K. Khosla (ISIT, 2007)

An analysis of the computational complexity of sequential decoding of specific tree codes over Gaussian channels. - Balakrishnan Narayanaswamy; Rohit Negi; Pradeep K. Khosla (ISIT, 2008)

Robust detection of random variables using sparse measurements. - Balakrishnan Narayanaswamy; Rohit Negi; Pradeep K. Khosla (Allerton, 2009)

Robust lossy detection using sparse measurements: The regular case. - Balakrishnan Narayanaswamy; Rohit Negi; Pradeep K. Khosla (ISIT, 2010)

Iterative Cross-Entropy Encoding for Memory Systems with Stuck-At Errors. - Euiseok Hwang; Balakrishnan Narayanaswamy; Rohit Negi; B. V. K. Vijaya Kumar (GLOBECOM, 2011)

Online optimization for the smart (micro) grid. - Balakrishnan Narayanaswamy; Vikas K. Garg 001; T. S. Jayram (e-Energy, 2012)

Learning to be energy-wise: discriminative methods for load disaggregation. - Dwi A. P. Rahayu; Balakrishnan Narayanaswamy; Shonali Krishnaswamy; Cyril Labbé; Deva P. Seetharam (e-Energy, 2012)

Hedging strategies for renewable resource integration and uncertainty management in the smart grid. - Balakrishnan Narayanaswamy; T. S. Jayram; Voo Nyuk Yoong (ISGT Europe, 2012)

Prediction based storage management in the smart grid. - Balakrishnan Narayanaswamy; Vikas K. Garg 001; T. S. Jayram (SmartGridComm, 2012)

Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems. - Vikas K. Garg 001; T. S. Jayram; Balakrishnan Narayanaswamy (AAAI, 2013)

Congestion control of smart distribution grids using state estimation. - S. Abishek; Balakrishnan Narayanaswamy (COMSNETS, 2013)

Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (IJCNLP, 2013)

Optimal utilization of power transformers through virtual sensing. - Jagabondhu Hazra; Kaushik Das; Ashok Pon Kumar; Balakrishnan Narayanaswamy; Deva P. Seetharam; Nis Jespersen (ISGT Europe, 2013)

Incentives for Information Sharing and Outcome Efforts in Networks - Swaprava Nath; Balakrishnan Narayanaswamy (CoRR, 2013)

A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. - Shweta Jain 002; Balakrishnan Narayanaswamy; Y. Narahari (AAAI, 2014)

Productive output in hierarchical crowdsourcing. - Swaprava Nath; Balakrishnan Narayanaswamy (AAMAS, 2014)

Loss localisation in smart distribution networks. - Vijay Arya; Balakrishnan Narayanaswamy (COMSNETS, 2014)

Unsupervised Focus Group Identification from Online Product Reviews. - Sneha Chaudhari; Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (ICPR, 2014)

Estimating the wake losses in large wind farms: A machine learning approach. - Farah Japar; Sathyajith Mathew; Balakrishnan Narayanaswamy; Chee Ming Lim; Jagabondhu Hazra (ISGT, 2014)

Optimal Thresholding of Classifiers to Maximize F1 Measure. - Zachary Chase Lipton; Charles Elkan; Balakrishnan Narayanaswamy (ECML/PKDD (2), 2014)

Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC). - Balakrishnan Narayanaswamy; Bharathan Balaji; Rajesh K. Gupta 001; Yuvraj Agarwal (BuildSys, 2014)

BuildingSherlock: fault management framework for HVAC systems: demo abstract. - Rizhen Zhang; Bharathan Balaji; Yan Zhang; Balakrishnan Narayanaswamy; Yuvraj Agarwal (BuildSys, 2014)

Learning to Re-rank for Interactive Problem Resolution and Query Refinement. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Charles Elkan (SIGDIAL Conference, 2014)

F1-Optimal Thresholding in the Multi-Label Setting. - Zachary Chase Lipton; Charles Elkan; Balakrishnan Narayanaswamy (CoRR, 2014)

SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers. - Bochao Shen; Balakrishnan Narayanaswamy; Ravi Sundaram (AAAI, 2015)

Truthful Interval Cover Mechanisms for Crowdsourcing Applications. - Pankaj Dayama 001; Balakrishnan Narayanaswamy; Dinesh Garg; Y. Narahari (AAMAS, 2015)

Supervised learning based model for predicting variability-induced timing errors. - Xun Jiao; Abbas Rahimi; Balakrishnan Narayanaswamy; Hamed Fatemi; José Pineda de Gyvez; Rajesh K. Gupta 001 (NEWCAS, 2015)

Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings. - Bharathan Balaji; Chetan Verma; Balakrishnan Narayanaswamy; Yuvraj Agarwal (BuildSys, 2015)

What we need to learn if we want to do and not just talk. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Charles Elkan (NAACL-HLT (3), 2018)

Achieving Fluency and Coherency in Task-oriented Dialog. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Charles Elkan (CoRR, 2018)

Imitation-Regularized Offline Learning. - Yifei Ma; Yu-Xiang Wang 003; Balakrishnan Narayanaswamy (AISTATS, 2019)

Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (NAACL-HLT (1), 2019)

ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems. - Bharathan Balaji; Jordan Bell-Masterson; Enes Bilgin; Andreas C. Damianou; Pablo Moreno Garcia; Arpit Jain; Runfei Luo; Alvaro Maggiar; Balakrishnan Narayanaswamy; Chun Ye (CoRR, 2019)

Influence Maximization From Cascade Information Traces in Complex Networks in the Absence of Network Structure. - Naimisha Kolli; Balakrishnan Narayanaswamy (IEEE Trans. Comput. Soc. Syst., 2019)

Recursive Template-based Frame Generation for Task Oriented Dialog. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (ACL, 2020)

FirePlace: Placing Firecraker Virtual Machines with Hindsight Imitation. - Bharathan Balaji; Christopher Kakovitch; Balakrishnan Narayanaswamy (MLSys, 2021)

Malware detection and classification using community detection and social network analysis. - Varshini Reddy; Naimisha Kolli; Balakrishnan Narayanaswamy (J. Comput. Virol. Hacking Tech., 2021)

FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers. - Abishek Sankararaman; Balakrishnan Narayanaswamy; Vikramank Y. Singh; Zhao Song 001 (ICML, 2022)

Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. - Kaustubh Sridhar; Vikramank Y. Singh; Balakrishnan Narayanaswamy; Abishek Sankararaman (CoRR, 2022)

Zero-Shot Learning for Joint Intent and Slot Labeling. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (CoRR, 2022)

Online robust non-stationary estimation. - Abishek Sankararaman; Balakrishnan Narayanaswamy (NeurIPS, 2023)

Online Heavy-tailed Change-point detection. - Abishek Sankararaman; Balakrishnan Narayanaswamy (UAI, 2023)

Panda: Performance Debugging for Databases using LLM Agents. - Vikramank Y. Singh; Kapil Vaidya; Vinayshekhar Bannihatti Kumar; Sopan Khosla; Balakrishnan Narayanaswamy; Rashmi Gangadharaiah; Tim Kraska (CIDR, 2024)

Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis. - Yanlei Diao; Dominik Horn; Andreas Kipf; Oleksandr Shchur; Ines Benito; Wenjian Dong; Davide Pagano; Pascal Pfeil; Vikram Nathan; Balakrishnan Narayanaswamy; Tim Kraska (SoCC, 2024)

Online Adaptive Anomaly Thresholding with Confidence Sequences. - Sophia Huiwen Sun; Abishek Sankararaman; Balakrishnan Narayanaswamy (ICML, 2024)

Intelligent Scaling in Amazon Redshift. - Vikram Nathan; Vikramank Y. Singh; Zhengchun Liu; Mohammad Rahman; Andreas Kipf; Dominik Horn; Davide Pagano; Gaurav Saxena; Balakrishnan Narayanaswamy; Tim Kraska (SIGMOD Conference Companion, 2024)

Stage: Query Execution Time Prediction in Amazon Redshift. - Ziniu Wu; Ryan Marcus; Zhengchun Liu; Parimarjan Negi; Vikram Nathan; Pascal Pfeil; Gaurav Saxena; Mohammad Rahman; Balakrishnan Narayanaswamy; Tim Kraska (SIGMOD Conference Companion, 2024)

Optimized intrusion predictions through feature selection methods. - Anagha A. S.; Ciza Thomas; Balakrishnan Narayanaswamy (Comput. Secur., 2025)

Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries - Extended. - Ziniu Wu; Markos Markakis; Chunwei Liu; Peter Baile Chen; Balakrishnan Narayanaswamy; Tim Kraska; Samuel Madden 001 (CoRR, 2025)

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. - Mintong Kang; Vinayshekhar Bannihatti Kumar; Shamik Roy; Abhishek Kumar; Sopan Khosla; Balakrishnan Narayanaswamy; Rashmi Gangadharaiah (CoRR, 2025)

ODIN: A NL2SQL Recommender to Handle Schema Ambiguity. - Kapil Vaidya; Abishek Sankararaman; Jialin Ding 001; Chuan Lei; Xiao Qin; Balakrishnan Narayanaswamy; Tim Kraska (CoRR, 2025)

TailorSQL: An NL2SQL System Tailored to Your Query Workload. - Kapil Vaidya; Jialin Ding 001; Sebastian Kosak; David Kernert; Chuan Lei; Xiao Qin; Abhinav Tripathy; Ramesh Balan; Balakrishnan Narayanaswamy; Tim Kraska (CoRR, 2025)

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL. - Yue Gong; Chuan Lei; Xiao Qin; Kapil Vaidya; Balakrishnan Narayanaswamy; Tim Kraska (CoRR, 2025)