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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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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 2
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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 1
Published:
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
Short description of portfolio item number 2
publications
Exploration for Multi-task Reinforcement Learning with Deep Generative Models
Published in Deep Reinforcement Learning Workshop, Neural Information Processing Systems, 2016
Recommended citation: Sai Praveen Bangaru, JS Suhas and Balaraman Ravindran. Exploration for Multi-task Reinforcement Learning with Deep Generative Models. In Neural Information Processing Systems Deep Reinforcement Learning Workshop, 2016. https://arxiv.org/abs/1611.09894
BLAS-on-flash: an alternative for training large ML models?
Published in Systems for Machine Learning Conference, 2018
Recommended citation: Suhas Jayaram Subramanya, Srajan Garg, and Harsha Vardhan Simhadri. "BLAS-on-flash: an alternative for training large ML models?." /files/sysml18.pdf
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?
Published in 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2019
Code available at https://github.com/Microsoft/blas-on-flash
Recommended citation: Suhas Jayaram Subramanya, et al. "BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?." 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19). USENIX Association. /files/nsdi19.pdf
DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node
Published in Neural Information Processing Systems (NeurIPS), 2019
Code available at https://github.com/microsoft/DiskANN
Recommended citation: Suhas Jayaram Subramanya, Devvrit, Rohan Kadekodi, Harsha Vardhan Simhadri, and Ravishankar Krishaswamy. "DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node". In *Advances in Neural Information Processing Systems (NeurIPS) 2019* /files/diskann_neurips19.pdf
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant - Introduction to Machine Learning
Massive Open Online Course (MOOC) - NPTEL, Computer Science & Engineering, Indian Institute of Technology Madras, 2017
Instructor - Prof. Balaraman Ravindran
- Prepared quizzes, assignments and exams for over 6000 registered students
- Course contents now archived to allow others to take the course at their own pace
- Course Duration - 4 Months (Jan, 2017 - April, 2017)