Visualizing Textbook Concepts: Beyond Word Co-occurrences. - Chandramouli Shama Sastry; Darshan Siddesh Jagaluru; Kavi Mahesh (CICLing (1), 2017)

A Multi-Entity Page Rank Algorithm. - Chandramouli Shama Sastry; Darshan Siddesh Jagaluru; Kavi Mahesh (POLIBITS, 2017)

Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices. - Chandramouli Shama Sastry; Sageev Oore (CoRR, 2019)

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 (CVPR Workshops, 2020)

Detecting Out-of-Distribution Examples with Gram Matrices. - Chandramouli Shama Sastry; Sageev Oore (ICML, 2020)

Musical Speech: A Transformer-based Composition Tool. - Jason d'Eon; Sri Harsha Dumpala; Chandramouli Shama Sastry; Daniel Oore; Sageev Oore (NeurIPS (Competition and Demos), 2020)

Active neural learners for text with dual supervision. - Chandramouli Shama Sastry; Evangelos E. Milios (Neural Comput. Appl., 2020)

Controlling BigGAN Image Generation with a Segmentation Network. - Aman Jaiswal; Harpreet Singh Sodhi; Mohamed Muzamil H; Rajveen Singh Chandhok; Sageev Oore; Chandramouli Shama Sastry (DS, 2021)

On Combining Global and Localized Self-Supervised Models of Speech. - Sri Harsha Dumpala; Chandramouli Shama Sastry; Rudolf Uher; Sageev Oore (INTERSPEECH, 2022)

Efficient CDF Approximations for Normalizing Flows. - Chandramouli Shama Sastry; Andreas M. Lehrmann; Marcus A. Brubaker; Alexander Radovic (Trans. Mach. Learn. Res., 2022)

Benchmarking Neural Network Training Algorithms. - George E. Dahl; Frank Schneider 001; Zachary Nado; Naman Agarwal; Chandramouli Shama Sastry; Philipp Hennig; Sourabh Medapati; Runa Eschenhagen; Priya Kasimbeg; Daniel Suo; Juhan Bae; Justin Gilmer; et al. (CoRR, 2023)

Training Diffusion Classifiers with Denoising Assistance. - Chandramouli Shama Sastry; Sri Harsha Dumpala; Sageev Oore (CoRR, 2023)

Test-Time Training for Speech. - Sri Harsha Dumpala; Chandramouli Shama Sastry; Sageev Oore (CoRR, 2023)

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. - Yujia Huang; Adishree Ghatare; Yuanzhe Liu 001; Ziniu Hu; Qinsheng Zhang; Chandramouli Shama Sastry; Siddharth Gururani; Sageev Oore; Yisong Yue (ICML, 2024)

XANE: eXplainable Acoustic Neural Embeddings. - Sri Harsha Dumpala; Dushyant Sharma; Chandramouli Shama Sastry; Stanislav Yu. Kruchinin; James Fosburgh; Patrick A. Naylor (INTERSPEECH, 2024)

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations. - Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Shama Sastry; Evangelos E. Milios; Sageev Oore; Hassan Sajjad 001 (NeurIPS, 2024)

DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers. - Chandramouli Shama Sastry; Sri Harsha Dumpala; Sageev Oore (NeurIPS, 2024)

Test-Time Training for Depression Detection. - Sri Harsha Dumpala; Chandramouli Shama Sastry; Rudolf Uher; Sageev Oore (CoRR, 2024)

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations. - Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Shama Sastry; Evangelos E. Milios; Sageev Oore; Hassan Sajjad 001 (CoRR, 2024)

Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts. - Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Shama Sastry; Evangelos E. Milios; Sageev Oore; Hassan Sajjad 001 (CoRR, 2024)

Accelerating neural network training: An analysis of the AlgoPerf competition. - Priya Kasimbeg; Frank Schneider 001; Runa Eschenhagen; Juhan Bae; Chandramouli Shama Sastry; Mark Saroufim; Boyuan Feng; Less Wright; Edward Z. Yang; Zachary Nado; Sourabh Medapati; Philipp Hennig; et al. (ICLR, 2025)

DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis. - Chandramouli Shama Sastry; Mahdi Gilany; Kry Yik-Chau Lui; Martin Magill; Alexander Pashevich (Trans. Mach. Learn. Res., 2025)