Chandramouli Shama Sastry

According to our database, Chandramouli Shama Sastry authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion.

Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue

CoRR, 2024

2023

Test-Time Training for Speech.

Sri Harsha Dumpala, Chandramouli Shama Sastry, Sageev Oore

CoRR, 2023

Training Diffusion Classifiers with Denoising Assistance.

Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore

CoRR, 2023

Benchmarking Neural Network Training Algorithms.

George E. Dahl, Frank Schneider, Zachary Nado, Naman Agarwal, Chandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, Runa Eschenhagen, Priya Kasimbeg, Daniel Suo, Juhan Bae, Justin Gilmer, Abel L. Peirson, Bilal Khan, Rohan Anil, Mike Rabbat, Shankar Krishnan, Daniel Snider, Ehsan Amid, Kongtao Chen, Chris J. Maddison, Rakshith Vasudev, Michal Badura, Ankush Garg, Peter Mattson

CoRR, 2023

2022

Efficient CDF Approximations for Normalizing Flows.

Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic

Trans. Mach. Learn. Res., 2022

On Combining Global and Localized Self-Supervised Models of Speech.

Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher, Sageev Oore

Proceedings of the Interspeech 2022, 2022

2021

Controlling BigGAN Image Generation with a Segmentation Network.

Aman Jaiswal, Harpreet Singh Sodhi, Mohamed Muzamil H, Rajveen Singh Chandhok, Sageev Oore, Chandramouli Shama Sastry

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

Active neural learners for text with dual supervision.

Chandramouli Shama Sastry, Evangelos E. Milios

Neural Comput. Appl., 2020

Musical Speech: A Transformer-based Composition Tool.

Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Daniel Oore, Sageev Oore

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Detecting Out-of-Distribution Examples with Gram Matrices.

Chandramouli Shama Sastry, Sageev Oore

Proceedings of the 37th International Conference on Machine Learning, 2020

On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers.

André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices.

Chandramouli Shama Sastry, Sageev Oore

CoRR, 2019

2017

A Multi-Entity Page Rank Algorithm.

Chandramouli Shama Sastry, Darshan Siddesh Jagaluru, Kavi Mahesh

POLIBITS, 2017

Visualizing Textbook Concepts: Beyond Word Co-occurrences.

Chandramouli Shama Sastry, Darshan Siddesh Jagaluru, Kavi Mahesh

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017