Newsarchiv der Abteilung

Ältere Neuigkeiten, Berichte, Mitteilungen und Hintergründe aus der Abteilung Informatik und Data Science.

Promovierendenkolloquium | Informatik und Data Science

KI&ML-Kolloquium

We will discuss State Space Models and Normalizing Flows based on the list of papers below.
 

Meeting Details:
When: Mondays 14:00 – 17:00
Where: Besprechungsraum inIT, CIIT building in Lemgo/Webex
What: Usually two talks per session

Please note that the seminar will primarily take place in person to encourage discussion, with a very limited Webex option for those unable to attend on site.

Contact: Prof. Dr. Marcus Lange-Hegermann (TH Ostwestfalen-Lippe)

 

State Space Models
1) HiPPO: Recurrent Memory with Optimal Polynomial Projections (https://arxiv.org/abs/2008.07669): Nico, 29.09.2025
2) Efficiently Modeling Long Sequences with Structured State Spaces (https://arxiv.org/abs/2111.00396): Ruwen, 29.09.2025
3) On the Parameterization and Initialization of Diagonal State Space Models (https://arxiv.org/abs/2206.11893): Andreas, 06.10.2025
4) Mamba: Linear-Time Sequence Modeling with Selective State Spaces (https://arxiv.org/abs/2312.00752): Thomas, 06.10.2025

Applications (optional):
1. Hyena Hierarchy: Towards Larger Convolutional Language Models (https://arxiv.org/abs/2302.10866)
2. It's Raw! Audio Generation with State-Space Models (https://arxiv.org/abs/2202.09729)
3. VMamba: Visual State Space Model (https://arxiv.org/abs/2401.10166)
4. MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection (https://arxiv.org/abs/2404.06564)

Normalizing Flows
1. Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
2. NICE: Non-linear Independent Components Estimation (https://arxiv.org/abs/1410.8516)
3. Density estimation using Real NVP (https://arxiv.org/abs/1605.08803)
4. Masked Autoregressive Flow for Density Estimation (https://arxiv.org/abs/1705.07057)
5. Glow: Generative Flow with Invertible 1x1 Convolutions (https://arxiv.org/abs/1807.03039)
6. FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models (https://arxiv.org/abs/1810.01367)
7. Flow Matching for Generative Modeling (https://arxiv.org/abs/2210.02747)
8. Transforming Gaussian Processes With Normalizing Flows (https://arxiv.org/abs/2011.01596) (optional)


Linda Rustemeier, M.A.

Koordination der Abteilung Informatik und Data Science

Sie haben Fragen zu der Abteilung oder wünschen weitere Informationen? Bitte sprechen Sie uns an.

Abteilung Informatik und Data Science