Research Publications

By Year

2024:

Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Murali Narayanaswamy, Tim Kraska, "Stage: Query execution time prediction in Amazon Redshift", SIGMOD 2024, Santiago, Chile.

Vikramank Y Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan (Murali) Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska, "Panda: Performance Debugging for Databases using LLM Agents", CIDR 2024, Santa Cruz, CA

2023:

Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy, "Online robust non-stationary estimation", NeurIPS 2023, New Orleans, LA.

Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy, "Online Heavy-tailed Change-point detection", UAI 2023, Pittsbugh, PA 

Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy, "Auto-WLM: machine learning enhanced workload management in Amazon Redshift", SIGMOD 2023, Seattle, WA. 

2022:

Kaustubh Sridhar, Vikramank Singh, Balakrishnan (Murali) Narayanaswamy, Abishek Sankararaman, "Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning", under review.

Vikramank Singh, Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy, Zhao Song, "C-GATS: Conditional Generation of Anomalous Time Series", NeurIPS 2022 Workshop SyntheticData4ML, 2022. 

Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy, Vikramank Singh, Zhao Song, "FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers", International Conference on Machine Learning (ICML) 2022.

2021:

Bharathan Balaji, Christopher Kakovitch, Balakrishnan (Murali) Narayanaswamy, "MicroPlace: Placing Micro Virtual Machines with Hindsight Imitation", The Conference on Machine Learning and Systems MLSys 2021. [Improved and extended version of the workshop paper from NeurIPS 2020].

2020:

Bharathan Balaji, Christopher Kakovitch Balakrishnan (Murali) Narayanaswamy, "FirePlace: Placing FireCracker virtual machines with hindsight imitation", NeurIPS 2020 Workshop on Machine Learning for Systems.

Yifei Ma*, Balakrishnan (Murali) Narayanaswamy*, Haibin Lin and Hao Ding. "Temporal-Contextual Recommendation in Real-Time", KDD 2020, Applied Data Science Track, Oral, (44/756 submissions).  Best Paper award!

Rashmi Gangadharaiah and Balakrishnan (Murali) Narayanaswamy, "Recursive Template-based Frame Generation for Task Oriented Dialog", ACL 2020, Oral. [data]

2019:

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

Rashmi Gangadharaiah and Balakrishnan Narayanaswamy, "Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog", Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), to appear.

Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye, "ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems", arXiv preprint arXiv:1911.10641

2017:

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, and Charles Elkan "Achieving Fluency and Coherency in Task-oriented Dialog", NIPS workshop on Conversational AI - today's practice and tomorrow's potential (NIPS 2017)

Ruofeng Wen, Kari Torkkola and Balakrishnan Narayanaswamy  "A Multi-Horizon Quantile Recurrent Forecaster", NIPS Time Series Workshop 2017, (NIPS 2017) [longer version]

------

2016:

Hiatus -- Forced? Voluntary? A sign of something?

------

2015:

 Bharathan Balaji, Chetan Verma, Balakrishnan Narayanaswamy, Yuvraj Agarwal  "Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for HVAC Management", The 2nd ACM International Conference on Embedded Systems For Energy-Efficient Buildings (BUILDSYS 2015)

Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, Jose Pineda de Gyvez and Rajesh Gupta., "A Scalable Model for Timing Error Prediction under Hardware and Workload Variations", 13th IEEE International NEW Circuits And Systems (NEWCAS), 2015

Pankaj Dayama, Balakrishnan Narayanaswamy, Dinesh Garg, Yadati Narahari, "Truthful Interval Cover Mechanisms for Crowdsourcing Applications", 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2015)

Bochao Shen, Balakrishnan Narayanaswamy, Ravi Sundaram, "SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-averse Consumers", The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15) 

By Topic (before 2015):

Next Generation Smarter Energy Systems :

2014 [more non-energy papers after the fold] :

Balakrishnan Narayanaswamy, Bharatan Balaji, Yuvraj Agarwal and Rajesh Gupta, "Data Driven Investigation of Faults in HVAC Systems with Model, Cluster and Compare (MCC)", The 1st ACM International Conference on Embedded Systems For Energy-Efficient Buildings (BUILDSYS 2014)

Rizhen Zhang, Bharathan Balaji, Yan Zhang, Balakrishnan Narayanaswamy and Yuvraj Agarwal, "Demo Abstract -- BuildingSherlock: Fault Management Framework for HVAC Systems",  The 1st ACM International Conference on Embedded Systems For Energy-Efficient Buildings (BUILDSYS 2014)

Muhammad Adnan, Balakrishnan Narayanaswamy and Rajesh Gupta, "Online Reservation and Deferral of EV Charging Tasks to Reduce Energy Use Variability in Smart Grids", IEEE SmartGridComm'14 Symposium - Architecture and Control (SGCOMM-14) 

Shweta Jain, Balakrishnan Narayanaswamy and Y. Narahari, "A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids", The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14) 

Vijay Arya and Balakrishnan Narayanaswamy, "Loss Localisation in Smart Distribution Networks", The Sixth International Conference on COMmunication Systems and NETworkS (COMSNETS 2014) [Best Paper Runner Up]

Farah Japar, Sathyajith Mathrew, Balakrishnan Narayanaswamy, Chee Ming Lim and Jagabondhu Hazra, "Estimating the Wake Losses in Large Wind Farms: A machine learning approach", IEEE PES Innovative Smart Grid Technologies Conference (ISGT 2014)

2013 [more non-energy papers after the fold] :

Neha Sengupta, Aloka S, Balakrishnan Narayanaswamy, Hamidah Ismail and Satyajith Mathew, "Time series data mining for demand side decision support", IEEE PES Innovative Smart Grid Technologies Conference Asia, ISGT-Asia 2013

Hamidah Ismail, Satyajith Mathew, Aloka S, Balakrishnan Narayanaswamy, Lim Chee Ming and Saiful Azmi Hussain, "Comparative Performances of Grid Integrated Solar Photovoltaic Systems Under theTropical Environment", IEEE PES Innovative Smart Grid Technologies Conference Asia, ISGT-Asia 2013

Chetan Yadati, Dilpreet Kaur, Balakrishnan Narayanaswamy, Avik Sarkar and Narahari Y, "Incentive Compatible Mechanisms for Power Cut Allocation in Smart Grids", The Ninth annual IEEE International Conference on Automation Science and Engineering (IEEE CASE), 2013

V.K. Garg, T.S Jayram, Balakrishnan Narayanaswamy, "Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems", The Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), 2013

Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari, Saiful A Hussain, Nyuk Yoong Voo, "Constrained Tâtonnement for Fast and Incentive Compatible Distributed Demand Management in Smart Grids", The Fourth International Conference on Future Energy Systems (ACM e-Energy), 2013

Jagabondhu Hazra, Kaushik das, Ashok Pan Kumar,  Balakrishnan Narayanaswamy, Deva P. Seetharam and Nis Jesperson, "Optimal Utilization of Power Transformers Through Virtual Sensing", The 4th European Innovative Smart Grid Technologies (ISGT-EU), 2013 

Abishek S and Balakrishnan Narayanaswamy "Congestion Control of Smart Distribution Grids using State Estimation", E6 Workshop, IEEE COMSNETS 2013

2012 [more non-energy papers after the fold] :

Balakrishnan Narayanaswamy, T.S Jayram, V.K. Garg, "Prediction based storage management in the smart grid", Third International Conference on Smart Grid Communications (SmartGridComm), 2012

Balakrishnan Narayanaswamy, T.S Jayram, N.Y. Voo, "Hedging Strategies for Renewable Resource Integration and Uncertainty Management in the Smart Grid", Third IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference, 2012

D. Rahayu, Balakrishnan Narayanaswamy, S. Krishnaswamy, C. Labbe, D.P. Seetharam, "Learning to be energy-wise: discriminative methods for load disaggregation", Third International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet (e-Energy), 2012, pp. 1--4

Balakrishnan Narayanaswamy, V.K. Garg, T.S Jayram, "Online optimization for the smart (micro) grid", Third International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet (e-Energy), 2012, pp. 19

Everything Else :

Natural Language Processing and Text Data Mining :

2014 :

Zack Lipton, Charles Elkan and Balakrishnan Narayanaswamy, "Optimal Thresholding of Classifiers to Maximize F1 Measure", The 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2014)

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy and Charles Elkan, "Learning to re-rank for interactive problem resolution and query refinement", The 15th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2014)

Sneha Chaudhari, Rashmi Gangadharaiah and Balakrishnan Narayanaswamy, "Unsupervised Focus Group Identification from Online Product Reviews", The 22nd International Conference on Pattern Recognition (ICPR 2014)

2013 :

Rashmi Gangadharaiah and Balakrishnan Narayanaswamy, "Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data", The 6th International Joint Conference on Natural Language Processing (IJCNLP), 2013

Organizational Game Theory :

2014 :

Swaprava Nath and Balakrishnan Narayanaswamy "Productive Output in Hierarchical Crowdsourcing", The Thirteenth International Conference on Autonomous Agents and Multi Agent Systems (AAMAS 2014)

2013 :

Swaprava Nath and Balakrishnan Narayanaswamy, "Incentives for Information Sharing and Outcome Efforts in Networks", CoRR abs/1302.3045 (2013)

Swaprava Nath, Balakrishnan Narayanaswamy, Kundan Kandhway, Bhushan Kotnis and David C. Parkes, "On Profit Sharing and Hierarchies in Organizations", Technical Report. A non-archived version was presented in the Asian Meeting of the Econometric Society (AMES), December 20-22, 2012, New Delhi, India. 

Pre-2012 [@ Carnegie Mellon] :

Sparse Measurement Systems :

B. Narayanaswamy, "Sparse Measurement Systems : Applications, Analysis, Algorithms and Design", PhD Thesis, ECE, CMU, 2011

B. Narayanaswamy, Rohit Negi and Pradeep Khosla, “Robust lossy detection using sparse measurements : The regular case", International Symposium on Information Theory, (ISIT), 2010.(slides)

B. Narayanaswamy, Rohit Negi and Pradeep Khosla, “Robust detection of random variables using sparse measurements”, Forty- Seventh Annual Allerton Conference on Communication, Control, and Computing, 2009. (slides)

B. Narayanaswamy, Rohit Negi and Pradeep Khosla,"Preprocessing measurements and modifying sensors to improve detection in sensor networks", Sensor, Signal and Information Processing (SenSIP) Workshop, 2008.

B. Narayanaswamy, Rohit Negi and Pradeep Khosla, "An analysis of the computational complexity of sequential decoding of specific tree codes over Gaussian channels", International Symposium on Information Theory, (ISIT), 2008.

B. Narayanaswamy, Yaron Rachlin, Rohit Negi and Pradeep Khosla, "The sequential decoding metric for detection in sensor networks", International Symposium on Information Theory, (ISIT), 2007.

B.Narayanaswamy, "Sequential Decoding for Simultaneous Localization And Mapping" , Report for ITRI Taiwan, 2006

Y. Rachlin,Balakrishnan Narayanaswamy, R. Negi, J. Dolan, and P. Khosla, "Increasing Sensor Measurements to Reduce Detection Complexity in Large-Scale Detection Applications", Proceedings of the Military Communications Conference (MILCOM), 2006.

Graphical Models for Image Processing :

R. Kerekes, B. Narayanaswamy, Jason Thornton, Marios Savvides and B.V.K Vijaya Kumar "Graphical Model Approach to Iris Matching Under Deformation and Occlusion", Computer Vision and Pattern Recognition, (CVPR) ,2007. 

R. Kerekes, B. Narayanaswamy, M. Beattie, B.V.K. Vijaya Kumar, and M. Savvides, "Multi-frame distortion-tolerant correlation filtering for video sequences", SPIE Defense and Security Symposium , 2006, Orlando, FL

Speech Processing :

Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Richard Stern "Voting for Two-Speaker Segmentation", Proc. of Interspeech, (ICSLP), Pittsburgh, PA, September 2006

B. Narayanaswamy and Rashmi Gangadharaiah, "Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text Independent Speaker Identification", Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing, (ICASSP), Philadelphia, PA, March 2005 

Rashmi Gangadharaiah, B. Narayanaswamy, N. Balakrishnan,"A Novel Method for Two-Speaker Segmentation", Proc. of Intl. Conf. on Speech and Language, (ICSLP), Jeju, Korea, September 2004

B. Narayanaswamy, "Improved Text-Independent Speaker Recognition using Gaussian Mixture Probabilities", Masters' Thesis, ECE, CMU, 2005