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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching
OpenReview, 2021
David C Jenkins, René Arendt Sørensen, Vikramank Singh, Philip Kaminsky, Anil Aswani, Ramakrishna Akella
C-GATS: Conditional generation of anomalous time series
Neural Information Processing Systems (NeurIPS), SyntheticData4ML Workshop, 2022
Vikramank Singh, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy, 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
Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y Singh, Zhao Song
Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning
ArXiv Preprint, 2023
Kaustubh Sridhar, Vikramank Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman
Panda: Performance debugging for databases using LLM agents
CIDR 2024, 2024
Vikramank Singh, Kapil Eknath Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Murali Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska
Intelligent Scaling in Amazon Redshift
SIGMOD 2024, 2024
Vikram Nathan, Vikramank Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan (Murali) Narayanaswamy, Tim Kraska
Vista: Machine learning based database performance troubleshooting framework in Amazon RDS
ACM SoCC 2024, 2024
Vikramank Singh, Zhao Song, Kapil Eknath Vaidya, Murali Narayanaswamy, Tim Kraska
US12130788B1: Assisted Database Anomaly Mitigation
United States Patent And Trademark Office, Granted: Oct 29, 2024, 2024
Vikramank Singh, Zhao Song, Balakrishnan Narayanaswamy, Maxym Kharchenko, Jeremiah Wilton, Vijay Joshi, Josh Oberwetter, Kyle Hailey
Robust Online Inference Using Adaptive Model Switching
International Conference on Learning Representations (ICLR) 2025, MCDC Workshop, 2025
Kalpan Mukherjee, Vikramank Singh, Abishek Sankararaman, Murali Narayanaswamy, Tim Kraska
talks
Keynote speaker
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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