392185 Advanced Machine Learning in Big Data Analytics
| 392185 | Schönhuth/Knop | Summer 2024 | Tue 10-12 in X-E0-218 (PjS) |
Contact
- Prof. Dr. Alexander Schönhuth: aschoen@cebitec.uni-bielefeld.de
- Maren Knop: mknop@cebitec.uni-bielefeld.de
- Johannes Schlüter: : j.schlueter@uni-bielefeld.de
Presentations:
- Individual presentations
- In person in X-E0-218 Via zoom: https://uni-bielefeld.zoom-x.de/j/65877858945?pwd=9GPmnng77PeDNxaOmnqDcpaaY6Z7py.1
- To last for approx. 30 minutes, followed by discussion
- Present contents of scientific paper
- Video: How to Present
Reports:
- Summary of every presentation of fellow students
- 600-800 words per summary
A presentation by Prof. Schönhuth in summer 2023 and winter 2022:
How to write Scientific Reports
- Drafts can be submitted for discussion
- Improving drafts based on feedback
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) | |
| | 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 | |
| 09.04.2024 | Introduction 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 | |
| 03.09.2024 | Presentations | |
| 10.09.2024 | Presentations | |
| 17.09.2024 | 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