UCI SIAM Chapter

University of California, Irvine

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2022 Winter (Tentative Calendar)

Date Speaker Paper
01.17.2022 Vincent Zaballa Automatic Symmetry Discovery with Lie Algebra Convolutional Network
01.31.2022 Kevin Bui Elastic Graph Neural Network
02.07.2022 Katrina Bartas scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
02.14.2022 Pieter Derdeyn On Explainability of Graph Neural Networks via Subgraph Explorations
02.21.2022 Ahyeon H Robust single-cell Hi-C clustering by convolution- and random-walk-based imputation

2021 Fall

Date Speaker Paper
10.11.2021 Yueqi Ren A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
10.18.2021 Kevin Bui Robust continuous clustering
11.01.2021 Zhijian Li FMM former: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
11.08.2021 Matt Duong RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

2021 Summer

Date Speaker Paper
06.21.2021 Ahyeon Hwang Deep generative modeling for single-cell transcriptomics
06.28.2021 Kevin Bui l1 Trend Filtering
07.12.2021 Eric Bourgain-Chang & Pieter Derdeyn Semi-Supervised Classification with Graph Convolutional Networks
07.19.2021 M. Hasan Celik Predicting mRNA Abundance Directly from Genomic Sequence Using Deep Convolutional Neural Networks
08.09.2021 Katrina Bartas & Pieter Derdeyn Inferring single-trial neural population dynamics using sequential auto-encoders
08.16.2021 Vincent Zaballa Group Equivariant Convolutional Network

2021 Spring

Date Speaker Paper
05.07.2021 Kevin Bui Introductory/Kick-off Meeting
05.14.2021 Kevin Bui DeepXDE: A Deep Learning Library for Solving Differential Equations
05.21.2021 Hasan Celik Deep learning: new computational modelling techniques for genomics
05.28.2021 Kevin Bui A New Proximal Iterative Hard Thresholding Method with Extrapolation with l0 Minimization
06.04.2021 Vincent Zaballa Protein design and variant prediction using autoregressive generative models

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