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2,412 results on '"Senthilkumar, S."'

31. Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation

Author

Akkaya, Ibrahim Batuhan, Kathiresan, Senthilkumar S., Arani, Elahe, and Zonooz, Bahram

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Vision transformers (ViTs) achieve remarkable performance on large datasets, but tend to perform worse than convolutional neural networks (CNNs) when trained from scratch on smaller datasets, possibly due to a lack of local inductive bias in the architecture. Recent studies have therefore added locality to the architecture and demonstrated that it can help ViTs achieve performance comparable to CNNs in the small-size dataset regime. Existing methods, however, are architecture-specific or have higher computational and memory costs. Thus, we propose a module called Local InFormation Enhancer (LIFE) that extracts patch-level local information and incorporates it into the embeddings used in the self-attention block of ViTs. Our proposed module is memory and computation efficient, as well as flexible enough to process auxiliary tokens such as the classification and distillation tokens. Empirical results show that the addition of the LIFE module improves the performance of ViTs on small image classification datasets. We further demonstrate how the effect can be extended to downstream tasks, such as object detection and semantic segmentation. In addition, we introduce a new visualization method, Dense Attention Roll-Out, specifically designed for dense prediction tasks, allowing the generation of class-specific attention maps utilizing the attention maps of all tokens.

Published
2023

34. Author Correction: Aplp1 interacts with Lag3 to facilitate transmission of pathologic α-synuclein

Author

Xiaobo Mao, Hao Gu, Donghoon Kim, Yasuyoshi Kimura, Ning Wang, Enquan Xu, Ramhari Kumbhar, Xiaotian Ming, Haibo Wang, Chan Chen, Shengnan Zhang, Chunyu Jia, Yuqing Liu, Hetao Bian, Senthilkumar S. Karuppagounder, Fatih Akkentli, Qi Chen, Longgang Jia, Heehong Hwang, Su Hyun Lee, Xiyu Ke, Michael Chang, Amanda Li, Jun Yang, Cyrus Rastegar, Manjari Sriparna, Preston Ge, Saurav Brahmachari, Sangjune Kim, Shu Zhang, Yasushi Shimoda, Martina Saar, Haiqing Liu, Sin Ho Kweon, Mingyao Ying, Creg J. Workman, Dario A. A. Vignali, Ulrike C. Muller, Cong Liu, Han Seok Ko, Valina L. Dawson, and Ted M. Dawson

Subjects
Science
Published
2024
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36. Author Correction: Aplp1 interacts with Lag3 to facilitate transmission of pathologic α-synuclein

Author

Mao, Xiaobo, Gu, Hao, Kim, Donghoon, Kimura, Yasuyoshi, Wang, Ning, Xu, Enquan, Kumbhar, Ramhari, Ming, Xiaotian, Wang, Haibo, Chen, Chan, Zhang, Shengnan, Jia, Chunyu, Liu, Yuqing, Bian, Hetao, Karuppagounder, Senthilkumar S., Akkentli, Fatih, Chen, Qi, Jia, Longgang, Hwang, Heehong, Lee, Su Hyun, Ke, Xiyu, Chang, Michael, Li, Amanda, Yang, Jun, Rastegar, Cyrus, Sriparna, Manjari, Ge, Preston, Brahmachari, Saurav, Kim, Sangjune, Zhang, Shu, Shimoda, Yasushi, Saar, Martina, Liu, Haiqing, Kweon, Sin Ho, Ying, Mingyao, Workman, Creg J., Vignali, Dario A. A., Muller, Ulrike C., Liu, Cong, Ko, Han Seok, Dawson, Valina L., and Dawson, Ted M.

Published
2024
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39. Aplp1 interacts with Lag3 to facilitate transmission of pathologic α-synuclein

Author

Mao, Xiaobo, Gu, Hao, Kim, Donghoon, Kimura, Yasuyoshi, Wang, Ning, Xu, Enquan, Kumbhar, Ramhari, Ming, Xiaotian, Wang, Haibo, Chen, Chan, Zhang, Shengnan, Jia, Chunyu, Liu, Yuqing, Bian, Hetao, Karuppagounder, Senthilkumar S., Akkentli, Fatih, Chen, Qi, Jia, Longgang, Hwang, Heehong, Lee, Su Hyun, Ke, Xiyu, Chang, Michael, Li, Amanda, Yang, Jun, Rastegar, Cyrus, Sriparna, Manjari, Ge, Preston, Brahmachari, Saurav, Kim, Sangjune, Zhang, Shu, Shimoda, Yasushi, Saar, Martina, Liu, Haiqing, Kweon, Sin Ho, Ying, Mingyao, Workman, Creg J., Vignali, Dario A. A., Muller, Ulrike C., Liu, Cong, Ko, Han Seok, Dawson, Valina L., and Dawson, Ted M.

Published
2024
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48. Aplp1 interacts with Lag3 to facilitate transmission of pathologic α-synuclein

Author

Xiaobo Mao, Hao Gu, Donghoon Kim, Yasuyoshi Kimura, Ning Wang, Enquan Xu, Ramhari Kumbhar, Xiaotian Ming, Haibo Wang, Chan Chen, Shengnan Zhang, Chunyu Jia, Yuqing Liu, Hetao Bian, Senthilkumar S. Karuppagounder, Fatih Akkentli, Qi Chen, Longgang Jia, Heehong Hwang, Su Hyun Lee, Xiyu Ke, Michael Chang, Amanda Li, Jun Yang, Cyrus Rastegar, Manjari Sriparna, Preston Ge, Saurav Brahmachari, Sangjune Kim, Shu Zhang, Yasushi Shimoda, Martina Saar, Haiqing Liu, Sin Ho Kweon, Mingyao Ying, Creg J. Workman, Dario A. A. Vignali, Ulrike C. Muller, Cong Liu, Han Seok Ko, Valina L. Dawson, and Ted M. Dawson

Subjects
Science
Abstract

Abstract Pathologic α-synuclein (α-syn) spreads from cell-to-cell, in part, through binding to the lymphocyte-activation gene 3 (Lag3). Here we report that amyloid β precursor-like protein 1 (Aplp1) interacts with Lag3 that facilitates the binding, internalization, transmission, and toxicity of pathologic α-syn. Deletion of both Aplp1 and Lag3 eliminates the loss of dopaminergic neurons and the accompanying behavioral deficits induced by α-syn preformed fibrils (PFF). Anti-Lag3 prevents the internalization of α-syn PFF by disrupting the interaction of Aplp1 and Lag3, and blocks the neurodegeneration induced by α-syn PFF in vivo. The identification of Aplp1 and the interplay with Lag3 for α-syn PFF induced pathology deepens our insight about molecular mechanisms of cell-to-cell transmission of pathologic α-syn and provides additional targets for therapeutic strategies aimed at preventing neurodegeneration in Parkinson’s disease and related α-synucleinopathies.

Published
2024
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