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Chandrashekhar Lavania

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2020 – today

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2022
[c7]
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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]
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Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes:
Constrained Robust Submodular Partitioning. NeurIPS 2021: 2721-2732
[c5]
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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
2020
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  - journals/corr/abs-2010-08593
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Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh K. Iyer:
Deep Submodular Networks for Extractive Data Summarization. CoRR abs/2010.08593 (2020)

2010 – 2019

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2019
[c4]
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Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes:
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. AISTATS 2019: 3352-3361
[c3]
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Chandrashekhar Lavania, Jeff A. Bilmes:
Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. SDM 2019: 396-404
2017
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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
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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
2012
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Chandrashekhar Lavania, Shrisha Rao, Eswaran Subrahmanian:
Reducing Variation in Solar Energy Supply Through Frequency Domain Analysis. IEEE Syst. J. 6(2): 196-204 (2012)

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