Workshop

MCML Virtual Workshop

Over 20 Presentations by Our PhD Students on Current Research Topics

   29.07.2021

   2:00 pm - 5:30 pm

   Zoom

Agenda

Welcome

{{< agenda time=“14:00–14:20” name=“Prof. Thomas Seidl, Prof. Daniel Cremers” title=“Welcome Greeting” >}}

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Track 1: Spatial and Temporal Machine Learning & Computer Vision

{{< agenda time=“14:20–14:40” name=“Ashkan Khakzar, Azade Farshad / Prof. Nassir Navab” title=“Machine Learning at CAMP: Interpretability and Spatio-temporal Learning for Medical Imaging” >}}

{{< agenda time=“14:40–15:90” name=“Christopher Küster / Prof. Volker Schmid” title=“Bayesian image segmentation with hierarchical Potts models” >}}

{{< agenda time=“15:00–15:20” name=“Prof. Matthias Schubert” title=“Resource Search in Data Driven Environments” >}}

{{< agenda time=“15:20–15:40” name=“Guillem Brasó / Prof. Laura Leal-Taixé” title=“Learning a neural solver for multi-object tracking” >}}

{{< agenda time=“15:40–16:00” name=“Yuesong Shen / Prof. Daniel Cremers” title=“Deep learning: a non-alchemical view” >}}

{{< agenda time=“16:00–16:20” name=“Vladimir Golkov, / Prof. Daniel Cremers” title=“Equivariant Deep Learning” >}}

{{< agenda time=“16:20–16:40” name=“Andrei Burov / Prof. Matthias Niessner” title=“Learning to Optimize for Human Reconstructions” >}}

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Track 2: Learning on Graphs and Networks & Representation Learning

{{< agenda time=“14:20–14:40” name=“Daniel Zügner / Prof. Stephan Günnemann” title=“Robust deep learning on graphs” >}}

{{< agenda time=“14:40–15:00” name=“Cornelius Fritz, Marc Schneble, Sevag Kevork / Prof. Göran Kauermann” title=“Applied Network Science” >}}

{{< agenda time=“15:00–15:20” name=“Max Berrendorf / Prof. Volker Tresp” title=“Knowledge Graph Matching” >}}

{{< agenda time=“15:20–15:40” name=“Alex Markham / Prof. Moritz Grosse-Wentrup” title=“Measurement Dependence Inducing Latent Causal Models” >}}

{{< agenda time=“15:40–16:00” name=“Nora Kassner / Prof. Hinrich Schütze” title=“Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly” >}}

{{< agenda time=“16:00–16:20” name=“Mohammad Lotfollahi / Prof. Fabian Theis” title=“Query to reference single-cell integration with transfer learning” >}}

{{< agenda time=“16:20–16:40” name=“Marius Lange / Prof. Fabian Theis” title=“Mapping the fate of single cells with RNA velocity using CellRank” >}}

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Track 3: Automatic and Explainable Modeling & Computational Models for Large-Sclae ML

{{< agenda time=“14:20–14:40” name=“Dr. David Ruegamer / Prof. Bernd Bischl” title=“Semi-Structured Deep Distributional Regression” >}}

{{< agenda time=“14:40–15:00” name=“Julia Moosbauer, Martin Binder / Prof. Bernd Bischl” title=“Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles” >}}

{{< agenda time=“15:00–15:20” name=“Theresa Ullmann, Christina Nießl / Prof. Anne-Laure Boulesteix” title=“Cluster Analysis and Feature Rankings: Validation, benchmarking and over-optimism concerns” >}}

{{< agenda time=“15:20–15:40” name=“Moritz Herrmann / PD Dr. Fabian Scheipl” title=“Finding and evaluating embeddings for functional data” >}}

{{< agenda time=“15:40–16:00” name=“Li Qian / Prof. Christian Böhm” title=“Clustering Large-Scaled Datasets using Deep Learning” >}}

{{< agenda time=“16:00–16:20” name=“Anna Beer / Prof. Peer Kröger” title=“Evaluation of Results from Unsupervised Learning Processes” >}}

{{< agenda time=“16:20–16:40” name=“Daniyal Kazempour / Prof. Thomas Seidl” title=“Recent Advances in Correlation Clustering” >}}

{{< agenda time=“16:40–17:00” name=“Sandra Obermeier / Prof. Thomas Seidl” title=“Active Learning - Diversity vs. Uncertainty Sampling” >}}

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Closing

{{< agenda time=“17:00–17:30” name=“Prof. Bernd Bischl” title=“Closing Remarks” >}}