Asja Fischer
Orcid: 0000-0002-1916-7033Affiliations:
- University of Bonn, Institute of Computer Science, Germany
- University of Montreal, Institute for Learning Algorithms, QC, Canada
- University of Copenhagen, Department of Computer Science, Denmark
- Ruhr University of Bochum, Institute for Neural Computation, Germany
According to our database1,
Asja Fischer
authored at least 76 papers
between 2010 and 2024.
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Bibliography
2024
Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention Control.
CoRR, 2024
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error.
CoRR, 2024
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2023
A Representative Study on Human Detection of Artificially Generated Media Across Countries.
CoRR, 2023
Leveraging characteristics of the output probability distribution for identifying adversarial audio examples.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
WIREs Data Mining Knowl. Discov., 2021
CoRR, 2021
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks.
Medical Image Anal., 2020
CoRR, 2020
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification.
CoRR, 2020
Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency.
CoRR, 2020
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings.
CoRR, 2020
Artif. Intell., 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification.
Proceedings of the Interspeech 2020, 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs.
CoRR, 2019
Proceedings of the Semantic Web - ISWC 2019, 2019
Proceedings of the Semantic Web - ISWC 2019, 2019
Proceedings of the Semantic Web - ISWC 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Pattern Recognit. Lett., 2018
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters.
CoRR, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018
2017
Neural Comput., 2017
Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level.
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines.
Theor. Comput. Sci., 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
2014
2013
Mach. Learn., 2013
Approximation properties of DBNs with binary hidden units and real-valued visible units.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
2011
Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010