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ORCIDChandrashekhar Lavania
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Journal Articles
- 2012
[j1]Chandrashekhar Lavania, Shrisha Rao
, Eswaran Subrahmanian:
Reducing Variation in Solar Energy Supply Through Frequency Domain Analysis. IEEE Syst. J. 6(2): 196-204 (2012)
Conference and Workshop Papers
- 2023
- [c9]Georgios Paraskevopoulos, Chandrashekhar Lavania, Lovish Chum, Shiva Sundaram:
Multi-Scale Compositional Constraints for Representation Learning on Videos. ICASSP 2023: 1-5 - [c8]Chandrashekhar Lavania, Sanjiv Das, Xin Huang, Kyu J. Han:
Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection. INTERSPEECH 2023: 3612-3616 - 2022
- [c7]Chandrashekhar Lavania, Shiva Sundaram, Sundararajan Srinivasan, Katrin Kirchhoff:
Enhancing Contrastive Learning with Temporal Cognizance for Audio-Visual Representation Generation. ICASSP 2022: 4728-4732 - 2021
- [c6]Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes:
Constrained Robust Submodular Partitioning. NeurIPS 2021: 2721-2732 - [c5]Chandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes:
A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget. SDM 2021: 226-234 - 2019
- [c4]Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes:
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. AISTATS 2019: 3352-3361 - [c3]Chandrashekhar Lavania, Jeff A. Bilmes:
Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. SDM 2019: 396-404 - 2017
- [c2]Chandrashekhar Lavania, Jeff A. Bilmes:
Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies. ICASSP 2017: 2791-2795 - 2016
- [c1]Chandrashekhar Lavania, Sunil Thulasidasan, Anthony LaMarca, Jeffrey Scofield, Jeff A. Bilmes:
A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance. UbiComp 2016: 37-48
Informal and Other Publications
- 2024
- [i2]Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu J. Han:
PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores. CoRR abs/2404.07336 (2024) - 2020
- [i1]Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh K. Iyer:
Deep Submodular Networks for Extractive Data Summarization. CoRR abs/2010.08593 (2020)
Coauthor Index
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