DrQi’s tutorial talk about jointnets at UCLA computational genomics summer school 2019 for extracting connectomes from heterogeneous samples

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Ph.D. Dissertation Defense by Zhe Wang, Tues., 04/02/24, at 12:00PM (ET) Committee:

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Ph.D. Dissertation Defense by Jack Lanchantin Tuesday, July 20th, 2021 at 2:00 PM (ET), via Zoom. Committee: Vicente Ordóñez Román, Committee Chair, ...

DrQi’s tutorial talk on “Make Deep Learning Interpretable for Sequential Data Analysis in Biomedicine” (Including our work on DeepChrome - AttentiveChrome - GCNChrome - DeepMotif - DeepVHPPI - MotifTransformer)

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I gave a tutorial talk at UVA-VADC Seminar Series 2021 and at monthly NIH Data Science Showcase seminar.

Qdata

DrQi’s tutorial talk about jointnets at UCLA computational genomics summer school 2019 for extracting connectomes from heterogeneous samples

Slides: PDF

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Zhe’s PhD Defense - Toward Out-Of-Distribution Generalization Of Deep Learning Models

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DrQi’s tutorial talk on “Make Deep Learning Interpretable for Sequential Data Analysis in Biomedicine” (Including our work on DeepChrome - AttentiveChrome - GCNChrome - DeepMotif - DeepVHPPI - MotifTransformer)

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Title: Joint Learning of Multiple Related Gaussian Graphical Models from Heterogeneous Samples.

Slides: PDF

You May Also Enjoy

Zhe’s PhD Defense - Toward Out-Of-Distribution Generalization Of Deep Learning Models

Arsh’s PhD Defense - Relational Structure Discovery for Deep Learning

JackL’s PhD Defense - Modeling interactions with Deep Learning

DrQi’s tutorial talk on “Make Deep Learning Interpretable for Sequential Data Analysis in Biomedicine” (Including our work on DeepChrome - AttentiveChrome - GCNChrome - DeepMotif - DeepVHPPI - MotifTransformer)