Patrick Jähnichen

According to our database, Patrick Jähnichen authored at least 12 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Using Large Language Models for Adaptive Dialogue Management in Digital Telephone Assistants.

Hassan Soliman, Milos Kravcik, Nagasandeepa Basvoju, Patrick Jähnichen

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

2019

VIST - a Variant-Information Search Tool for precision oncology.

Jurica Seva, David Luis Wiegandt, Julian Goetze, Mario Lamping, Damian Rieke, Reinhold Schaefer, Patrick Jähnichen, Madeleine Kittner, Steffen Pallarz, Johannes Starlinger, Ulrich Keilholz, Ulf Leser

BMC Bioinform., 2019

Self-Paced Adversarial Training for Multimodal Few-Shot Learning.

Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning.

Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Cross-modal Hallucination for Few-shot Fine-grained Recognition.

Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi

CoRR, 2018

Discriminative Hallucination for Multi-Modal Few-Shot Learning.

Frederik Pahde, Moin Nabi, Tassilo Klein, Patrick Jähnichen

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Scalable Generalized Dynamic Topic Models.

Patrick Jähnichen, Florian Wenzel, Marius Kloft, Stephan Mandt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Exploratory Search Through Visual Analysis of Topic Models.

Patrick Jähnichen, Patrick Oesterling, Gerhard Heyer, Tom Liebmann, Gerik Scheuermann, Christoph Kuras

Digit. Humanit. Q., 2017

2015

Topological visual analysis of clusterings in high-dimensional information spaces.

Patrick Oesterling, Patrick Jähnichen, Gerhard Heyer, Gerik Scheuermann

it Inf. Technol., 2015

2014

Bayesian factorization of joint categorical distributions for relational data and classical conditioning models.

Ingmar Schuster, Patrick Jähnichen

CoRR, 2014

2012

ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis.

Andreas Niekler, Patrick Jähnichen, Gerhard Heyer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Predicting Social Networks in Weblogs.

Patrick Jähnichen

Proceedings of the 11th International Conference on Innovative Internet Community Services (I²CS 2011), 2011