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Dipesh NeupaneDN
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Dipesh Neupane

@dipeshneupane

Computer science researcher at Tribhuvan University who implemented 8-bit quantization for diffusion models, improving PSNR by 3.197.

Nepal
Message

My Tribhuvan University thesis examined outliers and group-wise channel quantization in diffusion models. I implemented 8-bit post-training quantization for U-Net architectures and achieved an increase of 3.197 in PSNR and 0.252 in SSIM.

As an Academic Instructor at Trinity Int’l College, New Summit College, I deliver lectures and lead lab sessions in Simulation and Modeling and Numerical Methods. My projects also include iterative pruning for the Lottery Ticket Hypothesis and training and visualizing Context2Vec word embeddings.

Experience

Work history, roles, and key accomplishments

TC
Current

Academic Instructor

Trinity Int’l College, New Summit College

Dec 2025 - Present (10 months)

Delivered lectures and led lab sessions for undergraduate courses in Simulation and Modeling and Numerical Methods. Mentored students in applying numerical solvers to computational problems.

GL

Intern

GritFeat Solutions Pvt Ltd.

Feb 2022 - May 2022 (3 months)

Engaged in the Gritfeat Machine Learning Fellowship Program with a focus on Computer Vision tasks.

Education

Degrees, certifications, and relevant coursework

Tribhuvan University logoTU

Tribhuvan University

Master of Science, Computer Science and Information Technology

Grade: 3.75/4.0

Master of Science in Computer Science and Information Technology with a thesis on quantization of diffusion models.

Tech stack

Software and tools used professionally

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