Team
Nicholas J. Cooper
Co-founder · nick@combinatoriallabs.com
Biography
Nicholas Cooper --- a computer scientist, mathematician, and musician --- has been investigating the fundamentals of deep neural networks since he was 15 years old. He started this journey by writing his own deep learning framework in high school and hasn't looked back.
Along the way, he has worked on synthetic data generation, audio transformation, real-time video, knowledge distillation, and more. Now, his efforts are focused on building next generation neural networks using powerful new theoretical foundations for deep learning.
Papers and Projects
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NeurREPS · 2025
Logit Losses Limit the Effectiveness of Feature Knowledge Distillation
Enhanced feature knowledge distillation by training backbones without low-dimensional ground truth loss. https://arxiv.org/abs/2511.14981
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Software Engineer at C360 Technologies · 2023
Ultra High-res Denoiser
Novel calibration technique for reducing noise in very high resolution (12k+) video cameras.
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Rutgers University Capstone Project · 2020
Quantitative Understanding and Machine Learning Modeling of Vacuum Tubes for Guitar Amplification
Custom neural networks for real-time modeling the non-linear dynamics of vacuum tubes operating past the saturation point.
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Research Internship at Igolgi INC · 2019
Synthetic Data for Object Detection
Training data synthesis for areal object detection models.
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Rutgers WINLAB Summer Internship · 2018
Real Time Composition Suggestions with Sequential Neural Networks
Custom self-assembling neural network sequences for dynamic music composition.