• Genome Data Science

    We develop methods and tools to work with tens of thousands of genomes and analyze and integrate the corresponding data.

    Model of DNA double helix in front of a student.
    © Universität Bielefeld

392185 Advanced Machine Learning in Big Data Analytics


392185 Schönhuth/Knop Summer 2024 Tue 10-12 in X-E0-218 (PjS)

Contact

Presentations:

- Individual presentations

- In person in X-E0-218

- To last for approx. 30 minutes, followed by discussion

- Present contents of scientific paper

Reports:

- Reports summarize contents of paper

- Reports 8-10 pages

- Optimally, report profits from feedback provided after presentation

OR:

- Summary of every presentation of fellow students

- 600-800 words per summary


- Drafts can be submitted for discussion

- Improving drafts based on feedback


Depending on number of presentations. Information will follow in June 2024.

Papers - follow soon


Topic Title Authors Year Journal
SE(3)-Transformers SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks Fabian B. Fuchs et al. 2020 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
Alexander Hüdepohl SE(3)-Transformers DIFFDOCK: DIFFUSION STEPS, TWISTS, AND TURNS FOR MOLECULAR DOCKING Gabriele Corso et al. 2023 ICLR
Aditya Bantwal SE(3)-Transformers EQUIBIND: Geometric Deep Learning for Drug Binding Structure Prediction HannesStärk et al. 2022 39th International Conference on Machine Learning
Maya Vienken State Space Models Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu et al. 2022 ICLR
Florian Drössler State Space Models HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution Eric Nguyen et al. 2023 NeurIPS 2023
State Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu et al. 2023 arXiv
Felix Erbarth Model Interpretability Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? Zhi Chen et al. 2023 Conference on Health, Inference, and Learning (CHIL)
Gregor Foitzik Model Interpretability NODE-GAM: NEURAL GENERALIZED ADDITIVE MODEL FOR INTERPRETABLE DEEP LEARNING Chun-Hao Chang et al. 2022 ICLR
Lisa Heihoff Model Interpretability Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation Hang Dong et al. 2021 Journal of Biomedical Informatics
Valérie Witt Generative Pre-Training(GPT)/ Natural Language Processing Improving Language Understanding by Generative Pre-Training Alec Radford et al. 2018 OpenAI
Hakan Yildirim Generative Pre-Training(GPT)/ Natural Language Processing BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining Renqian Luo et al. 2022 Briefings in Bioinformatics
Julia Fischer Generative Pre-Training(GPT)/ Natural Language Processing RealFormer: Transformer Likes Residual Attention Ruining He et al. 2021 ACL-IJCNLP
Marcel Nieveler Diffusion Model Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures Shitong Luo et al. 2022 NeurIPS
Konrad Breipohl Diffusion Model Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin et al. 2023 NeurIPS
Diffusion Model Unsupervised Medical Image Translation with Adversarial Diffusion Models Muzaffer Öbey et al. 2023 arXiv
Achraf Halla Social Networks Rumour Detection Based on Graph Convolutional Neural Net NA BAI et al. 2021 IEEE Access ( Volume: 9)
Social Networks Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng et al. 2019 NeurIPS

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Time table lecture

Date Topic
09.04.2024Introduction by Prof. Dr. Alexander Schönhuth (How to present/How to write reports)
16.04.2024 Paper Selection online ( First come first serve. )
23.04.2024
30.04.2024
07.05.2024
14.05.2024
21.05.2024
28.05.2024 Deadline paper selection*
04.06.2024
11.06.2024
18.06.2024
25.06.2024
02.07.2024
09.07.2024
16.07.2024
19.07.2024 Courses end
06.08.2024
13.08.2024
20.08.2024
27.08.2024 Presentations (Lisa Heihoff, Marcel Nieveler, Aditya Bantwal, Gregor Foitzik, Konrad Breipohl)
03.09.2024 Presentations (Felix Erbarth, Florian Drössler, Valérie Witt, Maya Vienken)
10.09.2024 Presentations (Achraf Halla, Julia Fischer, Hakan Yildirim, Alexander Hüdepohl )
17.09.2024 Presentations + Submission Deadline Report drafts
24.09.2024 Submission Deadline Reports
30.09.2024 Semester end

* Please let me know the desired date of your presentation, too. Presentations each start at 10 AM.

* Please prioritise 2-3 papers

* Please sent me an email to mknop@cebitec.uni-bielefeld.de