I am a PhD candidate in the Department of Biomedical Engineering at Johns Hopkins University. I broadly work on {statistical, deep} learning, with an aspiration of reducing the gap between machine and natural intelligence. My doctoral research focuses on learning under non-stationary distributions and distribution shifts, with applications in large language models, computer vision, and biomedical data science.
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Johns Hopkins University
- Baltimore, MD
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03:07
(UTC -12:00) - https://laknath1996.github.io/
- @AshwindeSilva1
- in/ashwin-de-silva-6852b14b
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neurodata/value-of-ood-data
neurodata/value-of-ood-data PublicThe value of out-of-distribution data (ICML 2023)
Jupyter Notebook 8
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DeepPhaseUnwrap
DeepPhaseUnwrap PublicThis repository Introduces a joint convolutional and spatial quad-directional LSTM (SQD-LSTM) network for phase unwrapping in 2D images.
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sEMG-Hand-Gesture-Recognition
sEMG-Hand-Gesture-Recognition PublicThe source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals.
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Schrodinger-Equation-Simulation
Schrodinger-Equation-Simulation PublicIncludes the codes used for simulating the Schrödinger's Wave Equation in 1D, 2D and 3D potential wells.
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PPG-Pulse-Meter
PPG-Pulse-Meter PublicThe Real Time Photoplethysmographic Non - Invasive Pulse Meter was developed by Ashwin de Silva and Sachini Hewage, initially for the EXMO'2017 at the University of Moratuwa. The hardware component…
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DeepRetina
DeepRetina PublicWork on retinal and scleral image understanding (in progress)
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