Balakrishnan Narayanaswamy

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 20

Top Topics

Detect Anomalies

Stochastic Optimization Problems

Incentive Mechanism

Top Venues

BuildSys@SenSys

Publications

Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska
Panda: Performance Debugging for Databases using LLM Agents. CIDR (2024)
Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska
Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion (2024)
Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion (2024)
Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
Stage: Query Execution Time Prediction in Amazon Redshift. CoRR (2024)
Abishek Sankararaman, Balakrishnan Narayanaswamy
Online Heavy-tailed Change-point detection. CoRR (2023)
Abishek Sankararaman, Balakrishnan Narayanaswamy
Online robust non-stationary estimation. NeurIPS (2023)
Abishek Sankararaman, Balakrishnan Narayanaswamy
Online Heavy-tailed Change-point detection. UAI (2023)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
Zero-Shot Learning for Joint Intent and Slot Labeling. CoRR (2022)
Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh, Zhao Song
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers. ICML (2022)
Kaustubh Sridhar, Vikramank Y. Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman
Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. CoRR (2022)
Varshini Reddy, Naimisha Kolli, Balakrishnan Narayanaswamy
Malware detection and classification using community detection and social network analysis. J. Comput. Virol. Hacking Tech. 17 (4) (2021)
Bharathan Balaji, Christopher Kakovitch, Balakrishnan Narayanaswamy
FirePlace: Placing Firecraker Virtual Machines with Hindsight Imitation. MLSys (2021)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
Recursive Template-based Frame Generation for Task Oriented Dialog. ACL (2020)
Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy
Imitation-Regularized Offline Learning. CoRR (2019)
Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy
Imitation-Regularized Offline Learning. AISTATS (2019)
Naimisha Kolli, Balakrishnan Narayanaswamy
Influence Maximization From Cascade Information Traces in Complex Networks in the Absence of Network Structure. IEEE Trans. Comput. Soc. Syst. 6 (6) (2019)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. NAACL-HLT (1) (2019)
Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas C. Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems. CoRR (2019)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
Achieving Fluency and Coherency in Task-oriented Dialog. CoRR (2018)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
What we need to learn if we want to do and not just talk. NAACL-HLT (3) (2018)
Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta
Supervised learning based model for predicting variability-induced timing errors. NEWCAS (2015)
Bochao Shen, Balakrishnan Narayanaswamy, Ravi Sundaram
SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers. AAAI (2015)
Pankaj Dayama, Balakrishnan Narayanaswamy, Dinesh Garg, Y. Narahari
Truthful Interval Cover Mechanisms for Crowdsourcing Applications. AAMAS (2015)
Bharathan Balaji, Chetan Verma, Balakrishnan Narayanaswamy, Yuvraj Agarwal
Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings. BuildSys@SenSys (2015)
Swaprava Nath, Balakrishnan Narayanaswamy
Productive output in hierarchical crowdsourcing. AAMAS (2014)
Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
F1-Optimal Thresholding in the Multi-Label Setting. CoRR (2014)
Farah Japar, Sathyajith Mathew, Balakrishnan Narayanaswamy, Chee Ming Lim, Jagabondhu Hazra
Estimating the wake losses in large wind farms: A machine learning approach. ISGT (2014)
Vijay Arya, Balakrishnan Narayanaswamy
Loss localisation in smart distribution networks. COMSNETS (2014)
Sneha Chaudhari, Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
Unsupervised Focus Group Identification from Online Product Reviews. ICPR (2014)
Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
Optimal Thresholding of Classifiers to Maximize F1 Measure. ECML/PKDD (2) (2014)
Balakrishnan Narayanaswamy, Bharathan Balaji, Rajesh K. Gupta, Yuvraj Agarwal
Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC). BuildSys@SenSys (2014)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
Learning to Re-rank for Interactive Problem Resolution and Query Refinement. SIGDIAL Conference (2014)
Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari
A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. AAAI (2014)
Rizhen Zhang, Bharathan Balaji, Yan Zhang, Balakrishnan Narayanaswamy, Yuvraj Agarwal
BuildingSherlock: fault management framework for HVAC systems: demo abstract. BuildSys@SenSys (2014)
Swaprava Nath, Balakrishnan Narayanaswamy
Incentives for Information Sharing and Outcome Efforts in Networks CoRR (2013)
Vikas K. Garg, T. S. Jayram, Balakrishnan Narayanaswamy
Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems. AAAI (2013)
S. Abishek, Balakrishnan Narayanaswamy
Congestion control of smart distribution grids using state estimation. COMSNETS (2013)
Jagabondhu Hazra, Kaushik Das, Ashok Pon Kumar, Balakrishnan Narayanaswamy, Deva P. Seetharam, Nis Jespersen
Optimal utilization of power transformers through virtual sensing. ISGT Europe (2013)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data. IJCNLP (2013)
Dwi A. P. Rahayu, Balakrishnan Narayanaswamy, Shonali Krishnaswamy, Cyril Labbé, Deva P. Seetharam
Learning to be energy-wise: discriminative methods for load disaggregation. e-Energy (2012)
Balakrishnan Narayanaswamy, Vikas K. Garg, T. S. Jayram
Prediction based storage management in the smart grid. SmartGridComm (2012)
Balakrishnan Narayanaswamy, Vikas K. Garg, T. S. Jayram
Online optimization for the smart (micro) grid. e-Energy (2012)
Balakrishnan Narayanaswamy, T. S. Jayram, Voo Nyuk Yoong
Hedging strategies for renewable resource integration and uncertainty management in the smart grid. ISGT Europe (2012)
Balakrishnan Narayanaswamy, Rohit Negi, Pradeep K. Khosla
Robust detection of random variables using sparse measurements. Allerton (2009)
Balakrishnan Narayanaswamy, Rashmi Gangadharaiah
Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification. ICASSP (1) (2005)
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Narayanaswamy Balakrishnan
A novel method for two-speaker segmentation. INTERSPEECH (2004)