Balakrishnan Narayanaswamy

64 papers A* 10A 6B 6Misc 2Journal 20Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentSM: Semantic Memory for Agentic Text-to-SQL. CoRR Asim Biswal, Chuan Lei, Xiao Qin, Aodong Li, Balakrishnan Narayanaswamy, Tim Kraska
2026	A*	`conf`	Probabilistic Hash Embeddings for Online Learning of Categorical Features. AAAI Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy
2025	A*	`conf`	FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. EMNLP Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy, Abhishek Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah
2025	J	`jnl`	FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. CoRR Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy, Abhishek Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah
2025	J	`jnl`	Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries. Proc. VLDB Endow. Ziniu Wu, Markos Markakis, Chunwei Liu, Peter Baile Chen, Balakrishnan Narayanaswamy, Tim Kraska, Samuel Madden
2025	J	`jnl`	Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries - Extended. CoRR Ziniu Wu, Markos Markakis, Chunwei Liu, Peter Baile Chen, Balakrishnan Narayanaswamy, Tim Kraska, Samuel Madden
2025	J	`jnl`	ODIN: A NL2SQL Recommender to Handle Schema Ambiguity. CoRR Kapil Vaidya, Abishek Sankararaman, Jialin Ding, Chuan Lei, Xiao Qin, Balakrishnan Narayanaswamy, Tim Kraska
2025	J	`jnl`	Optimized intrusion predictions through feature selection methods. Comput. Secur. Anagha A. S., Ciza Thomas, Balakrishnan Narayanaswamy
2025	J	`jnl`	Probabilistic Hash Embeddings for Online Learning of Categorical Features. CoRR Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy
2025	A*	`conf`	SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors. ICML Saumya Gaurang Shah, Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh
2025	J	`jnl`	SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL. CoRR Yue Gong, Chuan Lei, Xiao Qin, Kapil Vaidya, Balakrishnan Narayanaswamy, Tim Kraska
2025	J	`jnl`	TailorSQL: An NL2SQL System Tailored to Your Query Workload. CoRR Kapil Vaidya, Jialin Ding, Sebastian Kosak, David Kernert, Chuan Lei, Xiao Qin, Abhinav Tripathy, Ramesh Balan, Balakrishnan Narayanaswamy, Tim Kraska
2024	—	`conf`	Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis. SoCC Yanlei Diao, Dominik Horn, Andreas Kipf, Oleksandr Shchur, Ines Benito, Wenjian Dong, Davide Pagano, Pascal Pfeil, Vikram Nathan, Balakrishnan Narayanaswamy, Tim Kraska
2024	—	`conf`	Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska
2024	A*	`conf`	Online Adaptive Anomaly Thresholding with Confidence Sequences. ICML Sophia Huiwen Sun, Abishek Sankararaman, Balakrishnan Narayanaswamy
2024	A	`conf`	Panda: Performance Debugging for Databases using LLM Agents. CIDR Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska
2024	—	`conf`	Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2024	J	`jnl`	Stage: Query Execution Time Prediction in Amazon Redshift. CoRR Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2023	A	`conf`	Online Heavy-tailed Change-point detection. UAI Abishek Sankararaman, Balakrishnan Narayanaswamy
2023	J	`jnl`	Online Heavy-tailed Change-point detection. CoRR Abishek Sankararaman, Balakrishnan Narayanaswamy
2023	A*	`conf`	Online robust non-stationary estimation. NeurIPS Abishek Sankararaman, Balakrishnan Narayanaswamy
2022	A*	`conf`	FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers. ICML Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh, Zhao Song
2022	J	`jnl`	Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. CoRR Kaustubh Sridhar, Vikramank Y. Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman
2022	J	`jnl`	Zero-Shot Learning for Joint Intent and Slot Labeling. CoRR Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2021	—	`conf`	FirePlace: Placing Firecraker Virtual Machines with Hindsight Imitation. MLSys Bharathan Balaji, Christopher Kakovitch, Balakrishnan Narayanaswamy
2021	J	`jnl`	Malware detection and classification using community detection and social network analysis. J. Comput. Virol. Hacking Tech. Varshini Reddy, Naimisha Kolli, Balakrishnan Narayanaswamy
2020	A*	`conf`	Recursive Template-based Frame Generation for Task Oriented Dialog. ACL Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2019	A	`conf`	Imitation-Regularized Offline Learning. AISTATS Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy
2019	J	`jnl`	Imitation-Regularized Offline Learning. CoRR Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy
2019	J	`jnl`	Influence Maximization From Cascade Information Traces in Complex Networks in the Absence of Network Structure. IEEE Trans. Comput. Soc. Syst. Naimisha Kolli, Balakrishnan Narayanaswamy
2019	—	`conf`	Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. NAACL-HLT (1) Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2019	J	`jnl`	ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems. CoRR Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas C. Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye
2018	J	`jnl`	Achieving Fluency and Coherency in Task-oriented Dialog. CoRR Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
2018	—	`conf`	What we need to learn if we want to do and not just talk. NAACL-HLT (3) Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
2015	A*	`conf`	SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers. AAAI Bochao Shen, Balakrishnan Narayanaswamy, Ravi Sundaram
2015	—	`conf`	Supervised learning based model for predicting variability-induced timing errors. NEWCAS Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta
2015	A	`conf`	Truthful Interval Cover Mechanisms for Crowdsourcing Applications. AAMAS Pankaj Dayama, Balakrishnan Narayanaswamy, Dinesh Garg, Y. Narahari
2015	—	`conf`	Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings. BuildSys Bharathan Balaji, Chetan Verma, Balakrishnan Narayanaswamy, Yuvraj Agarwal
2014	A*	`conf`	A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. AAAI Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari
2014	—	`conf`	BuildingSherlock: fault management framework for HVAC systems: demo abstract. BuildSys Rizhen Zhang, Bharathan Balaji, Yan Zhang, Balakrishnan Narayanaswamy, Yuvraj Agarwal
2014	—	`conf`	Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC). BuildSys Balakrishnan Narayanaswamy, Bharathan Balaji, Rajesh K. Gupta, Yuvraj Agarwal
2014	—	`conf`	Estimating the wake losses in large wind farms: A machine learning approach. ISGT Farah Japar, Sathyajith Mathew, Balakrishnan Narayanaswamy, Chee Ming Lim, Jagabondhu Hazra
2014	J	`jnl`	F1-Optimal Thresholding in the Multi-Label Setting. CoRR Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
2014	—	`conf`	Learning to Re-rank for Interactive Problem Resolution and Query Refinement. SIGDIAL Conference Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
2014	Misc	`conf`	Loss localisation in smart distribution networks. COMSNETS Vijay Arya, Balakrishnan Narayanaswamy
2014	—	`conf`	Optimal Thresholding of Classifiers to Maximize F1 Measure. ECML/PKDD (2) Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
2014	A	`conf`	Productive output in hierarchical crowdsourcing. AAMAS Swaprava Nath, Balakrishnan Narayanaswamy
2014	B	`conf`	Unsupervised Focus Group Identification from Online Product Reviews. ICPR Sneha Chaudhari, Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2013	Misc	`conf`	Congestion control of smart distribution grids using state estimation. COMSNETS S. Abishek, Balakrishnan Narayanaswamy
2013	J	`jnl`	Incentives for Information Sharing and Outcome Efforts in Networks CoRR Swaprava Nath, Balakrishnan Narayanaswamy
2013	B	`conf`	Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data. IJCNLP Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2013	A*	`conf`	Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems. AAAI Vikas K. Garg, T. S. Jayram, Balakrishnan Narayanaswamy
2013	—	`conf`	Optimal utilization of power transformers through virtual sensing. ISGT Europe Jagabondhu Hazra, Kaushik Das, Ashok Pon Kumar, Balakrishnan Narayanaswamy, Deva P. Seetharam, Nis Jespersen
2012	—	`conf`	Hedging strategies for renewable resource integration and uncertainty management in the smart grid. ISGT Europe Balakrishnan Narayanaswamy, T. S. Jayram, Voo Nyuk Yoong
2012	—	`conf`	Learning to be energy-wise: discriminative methods for load disaggregation. e-Energy Dwi A. P. Rahayu, Balakrishnan Narayanaswamy, Shonali Krishnaswamy, Cyril Labbé, Deva P. Seetharam
2012	—	`conf`	Online optimization for the smart (micro) grid. e-Energy Balakrishnan Narayanaswamy, Vikas K. Garg, T. S. Jayram
2012	—	`conf`	Prediction based storage management in the smart grid. SmartGridComm Balakrishnan Narayanaswamy, Vikas K. Garg, T. S. Jayram
2011	B	`conf`	Iterative Cross-Entropy Encoding for Memory Systems with Stuck-At Errors. GLOBECOM Euiseok Hwang, Balakrishnan Narayanaswamy, Rohit Negi, B. V. K. Vijaya Kumar
2010	B	`conf`	Robust lossy detection using sparse measurements: The regular case. ISIT Balakrishnan Narayanaswamy, Rohit Negi, Pradeep K. Khosla
2009	—	`conf`	Robust detection of random variables using sparse measurements. Allerton Balakrishnan Narayanaswamy, Rohit Negi, Pradeep K. Khosla
2008	B	`conf`	An analysis of the computational complexity of sequential decoding of specific tree codes over Gaussian channels. ISIT Balakrishnan Narayanaswamy, Rohit Negi, Pradeep K. Khosla
2007	B	`conf`	The sequential decoding metric for detection in sensor networks. ISIT Balakrishnan Narayanaswamy, Yaron Rachlin, Rohit Negi, Pradeep K. Khosla
2005	—	`conf`	Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification. ICASSP (1) Balakrishnan Narayanaswamy, Rashmi Gangadharaiah
2004	A	`conf`	A novel method for two-speaker segmentation. INTERSPEECH Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Narayanaswamy Balakrishnan