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ORCIDBalakrishnan Narayanaswamy
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Journal Articles
- 2021
[j2]Varshini Reddy, Naimisha Kolli, Balakrishnan Narayanaswamy
:
Malware detection and classification using community detection and social network analysis. J. Comput. Virol. Hacking Tech. 17(4): 333-346 (2021)- 2019
- [j1]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): 1147-1155 (2019)
Conference and Workshop Papers
- 2024
- [c40]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 - [c39]Sophia Huiwen Sun, Abishek Sankararaman, Balakrishnan Narayanaswamy:
Online Adaptive Anomaly Thresholding with Confidence Sequences. ICML 2024 - [c38]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: 269-279 - [c37]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: 280-294 - 2023
- [c36]Abishek Sankararaman, Balakrishnan Narayanaswamy:
Online robust non-stationary estimation. NeurIPS 2023 - [c35]Abishek Sankararaman, Balakrishnan Narayanaswamy:
Online Heavy-tailed Change-point detection. UAI 2023: 1815-1826 - 2022
- [c34]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: 19153-19177 - 2021
- [c33]Bharathan Balaji, Christopher Kakovitch, Balakrishnan Narayanaswamy:
FirePlace: Placing Firecraker Virtual Machines with Hindsight Imitation. MLSys 2021 - 2020
- [c32]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy:
Recursive Template-based Frame Generation for Task Oriented Dialog. ACL 2020: 2059-2064 - 2019
- [c31]Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy:
Imitation-Regularized Offline Learning. AISTATS 2019: 2956-2965 - [c30]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy:
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. NAACL-HLT (1) 2019: 564-569 - 2018
- [c29]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan:
What we need to learn if we want to do and not just talk. NAACL-HLT (3) 2018: 25-32 - 2015
- [c28]Bochao Shen, Balakrishnan Narayanaswamy, Ravi Sundaram:
SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers. AAAI 2015: 716-722 - [c27]Pankaj Dayama, Balakrishnan Narayanaswamy, Dinesh Garg, Y. Narahari:
Truthful Interval Cover Mechanisms for Crowdsourcing Applications. AAMAS 2015: 1091-1099 - [c26]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: 1-4 - [c25]Bharathan Balaji, Chetan Verma, Balakrishnan Narayanaswamy, Yuvraj Agarwal:
Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings. BuildSys@SenSys 2015: 13-22 - 2014
- [c24]Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari:
A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. AAAI 2014: 721-727 - [c23]Swaprava Nath, Balakrishnan Narayanaswamy:
Productive output in hierarchical crowdsourcing. AAMAS 2014: 469-476 - [c22]Vijay Arya, Balakrishnan Narayanaswamy:
Loss localisation in smart distribution networks. COMSNETS 2014: 1-8 - [c21]Sneha Chaudhari, Rashmi Gangadharaiah, Balakrishnan Narayanaswamy:
Unsupervised Focus Group Identification from Online Product Reviews. ICPR 2014: 1886-1891 - [c20]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: 1-5 - [c19]Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy:
Optimal Thresholding of Classifiers to Maximize F1 Measure. ECML/PKDD (2) 2014: 225-239 - [c18]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: 50-59 - [c17]Rizhen Zhang, Bharathan Balaji, Yan Zhang, Balakrishnan Narayanaswamy, Yuvraj Agarwal:
BuildingSherlock: fault management framework for HVAC systems: demo abstract. BuildSys@SenSys 2014: 202-203 - [c16]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan:
Learning to Re-rank for Interactive Problem Resolution and Query Refinement. SIGDIAL Conference 2014: 218-227 - 2013
- [c15]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: 1291-1297 - [c14]S. Abishek, Balakrishnan Narayanaswamy:
Congestion control of smart distribution grids using state estimation. COMSNETS 2013: 1-6 - [c13]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy:
Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data. IJCNLP 2013: 243-251 - [c12]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: 1-5 - 2012
- [c11]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: 10 - [c10]Balakrishnan Narayanaswamy, Vikas K. Garg, T. S. Jayram:
Online optimization for the smart (micro) grid. e-Energy 2012: 19 - [c9]Balakrishnan Narayanaswamy, T. S. Jayram, Voo Nyuk Yoong:
Hedging strategies for renewable resource integration and uncertainty management in the smart grid. ISGT Europe 2012: 1-8 - [c8]Balakrishnan Narayanaswamy, Vikas K. Garg, T. S. Jayram:
Prediction based storage management in the smart grid. SmartGridComm 2012: 498-503 - 2011
- [c7]Euiseok Hwang, Balakrishnan Narayanaswamy, Rohit Negi, B. V. K. Vijaya Kumar:
Iterative Cross-Entropy Encoding for Memory Systems with Stuck-At Errors. GLOBECOM 2011: 1-5 - 2010
- [c6]Balakrishnan Narayanaswamy, Rohit Negi, Pradeep K. Khosla:
Robust lossy detection using sparse measurements: The regular case. ISIT 2010: 1583-1587 - 2009
- [c5]Balakrishnan Narayanaswamy, Rohit Negi, Pradeep K. Khosla:
Robust detection of random variables using sparse measurements. Allerton 2009: 1468-1475 - 2008
- [c4]Balakrishnan Narayanaswamy, Rohit Negi, Pradeep K. Khosla:
An analysis of the computational complexity of sequential decoding of specific tree codes over Gaussian channels. ISIT 2008: 2508-2512 - 2007
- [c3]Balakrishnan Narayanaswamy, Yaron Rachlin, Rohit Negi, Pradeep K. Khosla:
The sequential decoding metric for detection in sensor networks. ISIT 2007: 1611-1615 - 2005
- [c2]Balakrishnan Narayanaswamy, Rashmi Gangadharaiah:
Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification. ICASSP (1) 2005: 621-624 - 2004
- [c1]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Narayanaswamy Balakrishnan:
A novel method for two-speaker segmentation. INTERSPEECH 2004: 2337-2340
Informal and Other Publications
- 2024
- [i9]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 abs/2403.02286 (2024) - 2023
- [i8]Abishek Sankararaman, Balakrishnan Narayanaswamy:
Online Heavy-tailed Change-point detection. CoRR abs/2306.09548 (2023) - 2022
- [i7]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 abs/2212.01348 (2022) - [i6]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy:
Zero-Shot Learning for Joint Intent and Slot Labeling. CoRR abs/2212.07922 (2022) - 2019
- [i5]Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy:
Imitation-Regularized Offline Learning. CoRR abs/1901.04723 (2019) - [i4]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 abs/1911.10641 (2019) - 2018
- [i3]Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan:
Achieving Fluency and Coherency in Task-oriented Dialog. CoRR abs/1804.03799 (2018) - 2014
- [i2]Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy:
F1-Optimal Thresholding in the Multi-Label Setting. CoRR abs/1402.1892 (2014) - 2013
- [i1]Swaprava Nath, Balakrishnan Narayanaswamy:
Incentives for Information Sharing and Outcome Efforts in Networks. CoRR abs/1302.3045 (2013)
Coauthor Index
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