Manifold Computing

We're an distributed research group working on significantly improving learning systems and applying them to the toughest problems humanity faces. We do this by advancing theory and also building exceptional open source tools. Read about our vision here .

If you're interested in joining us and building the Infrastructure of Intelligence, reach out! 

Explore Our Recent Work

Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change

Paper accepted to the SAI Computing Conference 2021
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A Genetic Algorithm Based Approach for Satellite Autonomy

Paper accepted to the SAI Computing Conference 2021
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Multimodal Modular Meta-Learning

Paper Accepted to the NeurIPS Preregistration Workshop
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Benchmarking Differentially Private Residual Networks for Medical Imagery

Paper accepted to the ICML Healthcare Systems, Population Health, and Role of Health-Tech Workshop
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Interested in Getting Involved?

Feel free to reach out!