Prof. Dr. Asja Fischer

Full Professor
Faculty of Mathematics
Ruhr-Universität Bochum

Profiles: LinkedIn, Google Scholar, DBLP

Office: IB 3/153
Universitätsstraße 150
44801 Bochum, Germany

Short CV


Note: I recently moved to Ruhr-University Bochum where I am Assistant Professor for Machine Learning now! I am still looking for a PhD student 🙂


Dr. Asja Fischer is a Assistant Professor at the Computer Science Department III of the University of Bonn. Before, she was a post-doctoral researcher at the Montreal Institute for Machine Learning (MILA). Between 2010 and end of 2014, Asja was employed both at the Institute for Neural Computation at the Ruhr-University Bochum and the Department of Computer Science at the University of Copenhagen working on her PhD in Machine Learning, which she defended in Copenhagen in 2014. Before, she studied Biology. Bioinformatics, Mathematics and Cognitive Science at the Ruhr-University Bochum, the Universidade de Lisboa and the University of Osnabrück.

Research Interests


  • Machine Learning
  • Deep Learning
  • Probabilistic Models
  • Sampling Techniques
  • Big Data

Teaching


Winter 2017

  • Lecture “Knowledge Graph Analysis”
  • Exercise “Knowledge Graph Analysis”
  • Seminar “Knowledge Graph Analysis”

Summer 2017

  • Lab “Deep Learning”
  • Seminar “Deep Learning”

Winter 2016

  • Lecture “Knowledge Graph Analysis”
  • Exercise “Knowledge Graph Analysis”
  • Seminar “Knowledge Graph Analysis”

Publications

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2021

Brügge, Kai; Fischer, Asja; Igel, Christian

On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions Inproceedings

In: The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, pp. 469–477, PMLR, 2021.

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Laszkiewicz, Mike; Lederer, Johannes; Fischer, Asja

Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery Inproceedings

In: The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, pp. 1864–1872, PMLR, 2021.

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Chakraborty, Nilesh; Lukovnikov, Denis; Maheshwari, Gaurav; Trivedi, Priyansh; Lehmann, Jens; Fischer, Asja

Introduction to neural network-based question answering over knowledge graphs Journal Article

In: Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 11 (3), 2021.

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Lukovnikov, Denis; Fischer, Asja

Insertion-based Tree Decoding Inproceedings

In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021, pp. 3201–3213, Association for Computational Linguistics, 2021.

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Lukovnikov, Denis; Fischer, Asja

Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies Inproceedings

In: Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, pp. 7180–7191, PMLR, 2021.

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Esteves, Diego; Marcelino, José; Chawla, Piyush; Fischer, Asja; Lehmann, Jens

ORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data Inproceedings

In: Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings, pp. 89–100, Springer, 2021.

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Sicking, Joachim; Akila, Maram; Pintz, Maximilian; Wirtz, Tim; Fischer, Asja; Wrobel, Stefan

A Novel Regression Loss for Non-Parametric Uncertainty Optimization Journal Article

In: CoRR, abs/2101.02726 , 2021.

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Laszkiewicz, Mike; Lederer, Johannes; Fischer, Asja

Copula-Based Normalizing Flows Journal Article

In: CoRR, abs/2107.07352 , 2021.

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2020

Krause, Oswin; Fischer, Asja; Igel, Christian

Algorithms for estimating the partition function of restricted Boltzmann machines Journal Article

In: Artif. Intell., 278 , 2020.

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Krause, Oswin; Fischer, Asja; Igel, Christian

Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) Inproceedings

In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, pp. 5045–5049, ijcai.org, 2020.

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Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Galkin, Mikhail; Sharifzadeh, Sahand; Fischer, Asja; Tresp, Volker; Lehmann, Jens

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework Miscellaneous

2020.

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Koitka, Sven; Kim, Moon S.; Qu, Ming; Fischer, Asja; Friedrich, Christoph M.; Nensa, Felix

Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks Journal Article

In: Medical Image Anal., 64 , pp. 101743, 2020.

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Frank, Joel; Eisenhofer, Thorsten; Schönherr, Lea; Fischer, Asja; Kolossa, Dorothea; Holz, Thorsten

Leveraging Frequency Analysis for Đeep Fake Image Recognition Inproceedings

In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, pp. 3247–3258, PMLR, 2020.

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Däubener, Sina; Schönherr, Lea; Fischer, Asja; Kolossa, Dorothea

Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Inproceedings

In: Interspeech 2020, 21st Annual Conference of the International Speech Communication Association, Virtual Event, Shanghai, China, 25-29 October 2020, pp. 4661–4665, ISCA, 2020.

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Frank, Joel; Eisenhofer, Thorsten; Schönherr, Lea; Fischer, Asja; Kolossa, Dorothea; Holz, Thorsten

Leveraging Frequency Analysis for Deep Fake Image Recognition Inproceedings

In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, pp. 3247–3258, PMLR, 2020.

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Nedelchev, Rostislav; Chaudhuri, Debanjan; Lehmann, Jens; Fischer, Asja

End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings Journal Article

In: CoRR, abs/2002.11143 , 2020.

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Sicking, Joachim; Akila, Maram; Wirtz, Tim; Houben, Sebastian; Fischer, Asja

Characteristics of Monte Carlo Đropout in Wide Neural Networks Journal Article

In: CoRR, abs/2007.05434 , 2020.

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Lukovnikov, Denis; Lehmann, Jens; Fischer, Asja

Improving the Long-Range Performance of Gated Graph Neural Networks Journal Article

In: CoRR, abs/2007.09668 , 2020.

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Däubener, Sina; Fischer, Asja

Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification Journal Article

In: CoRR, abs/2008.03209 , 2020.

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Sicking, Joachim; Akila, Maram; Pintz, Maximilian; Wirtz, Tim; Fischer, Asja; Wrobel, Stefan

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties Journal Article

In: CoRR, abs/2012.12687 , 2020.

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2019

ebski, Stanisław Jastrzk; Kenton, Zachary; Ballas, Nicolas; Fischer, Asja; Bengio, Yoshua; Storkey, Amos J.

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length Inproceedings

In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, OpenReview.net, 2019.

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Kristiadi, Agustinus; Khan, Mohammad Asif; Lukovnikov, Denis; Lehmann, Jens; Fischer, Asja

Incorporating Literals into Knowledge Graph Embeddings Inproceedings

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part I, pp. 347–363, Springer, 2019.

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Maheshwari, Gaurav; Trivedi, Priyansh; Lukovnikov, Denis; Chakraborty, Nilesh; Fischer, Asja; Lehmann, Jens

Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs Inproceedings

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part I, pp. 487–504, Springer, 2019.

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Lukovnikov, Denis; Fischer, Asja; Lehmann, Jens

Pretrained Transformers for Simple Question Answering over Knowledge Graphs Inproceedings

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part I, pp. 470–486, Springer, 2019.

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Kristiadi, Agustinus; Fischer, Asja

Predictive Uncertainty Quantification with Compound Đensity Networks Journal Article

In: CoRR, abs/1902.01080 , 2019.

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Chakraborty, Nilesh; Lukovnikov, Denis; Maheshwari, Gaurav; Trivedi, Priyansh; Lehmann, Jens; Fischer, Asja

Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs Journal Article

In: CoRR, abs/1907.09361 , 2019.

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2018

Chaudhuri, Debanjan; Kristiadi, Agustinus; Lehmann, Jens; Fischer, Asja

Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge Inproceedings

In: Proceedings of the 22nd Conference on Computational Natural Language Learning, CoNLL 2018, Brussels, Belgium, October 31 - November 1, 2018, pp. 497–507, Association for Computational Linguistics, 2018.

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ebski, Stanisław Jastrzk; Kenton, Zachary; Arpit, Devansh; Ballas, Nicolas; Fischer, Asja; Bengio, Yoshua; Storkey, Amos J.

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio Inproceedings

In: Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III, pp. 392–402, Springer, 2018.

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ebski, Stanisław Jastrzk; Kenton, Zachary; Arpit, Devansh; Ballas, Nicolas; Fischer, Asja; Bengio, Yoshua; Storkey, Amos J.

Finding Flatter Minima with SGD Inproceedings

In: 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, OpenReview.net, 2018.

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Petzka, Henning; Fischer, Asja; Lukovnikov, Denis

On the regularization of Wasserstein GANs Inproceedings

In: 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, OpenReview.net, 2018.

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Krause, Oswin; Fischer, Asja; Igel, Christian

Population-Contrastive-Divergence: Does consistency help with RBM training? Journal Article

In: Pattern Recognit. Lett., 102 , pp. 1–7, 2018.

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Jastrzebski, Stanislaw; Kenton, Zachary; Ballas, Nicolas; Fischer, Asja; Bengio, Yoshua; Storkey, Amos J.

DNN's Sharpest Directions Along the SGD Trajectory Journal Article

In: CoRR, abs/1807.05031 , 2018.

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Lukovnikov, Denis; Chakraborty, Nilesh; Lehmann, Jens; Fischer, Asja

Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters Journal Article

In: CoRR, abs/1811.05303 , 2018.

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2017

Krueger, David; Ballas, Nicolas; ebski, Stanisław Jastrzk; Arpit, Devansh; Kanwal, Maxinder S.; Maharaj, Tegan; Bengio, Emmanuel; Fischer, Asja; Courville, Aaron C.

Deep Nets Don't Learn via Memorization Inproceedings

In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings, OpenReview.net, 2017.

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Arpit, Devansh; ebski, Stanisław Jastrzk; Ballas, Nicolas; Krueger, David; Bengio, Emmanuel; Kanwal, Maxinder S.; Maharaj, Tegan; Fischer, Asja; Courville, Aaron C.; Bengio, Yoshua; Lacoste-Julien, Simon

A Closer Look at Memorization in Deep Networks Inproceedings

In: Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, pp. 233–242, PMLR, 2017.

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Lukovnikov, Denis; Fischer, Asja; Lehmann, Jens; Auer, Sören

Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level Inproceedings

In: Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pp. 1211–1220, ACM, 2017.

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Weghenkel, Björn; Fischer, Asja; Wiskott, Laurenz

Graph-based predictable feature analysis Journal Article

In: Mach. Learn., 106 (9-10), pp. 1359–1380, 2017.

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Bengio, Yoshua; Mesnard, Thomas; Fischer, Asja; Zhang, Saizheng; Wu, Yuhuai

STDP-Compatible Approximation of Backpropagation in an Energy-Based Model Journal Article

In: Neural Computation, 29 (3), pp. 555–577, 2017.

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Jastrzebski, Stanislaw; Kenton, Zachary; Arpit, Devansh; Ballas, Nicolas; Fischer, Asja; Bengio, Yoshua; Storkey, Amos J.

Three Factors Influencing Minima in SGD Journal Article

In: CoRR, abs/1711.04623 , 2017.

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2016

Bornschein, Jörg; Shabanian, Samira; Fischer, Asja; Bengio, Yoshua

Bidirectional Helmholtz Machines Inproceedings

In: Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, pp. 2511–2519, JMLR.org, 2016.

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Melchior, Jan; Fischer, Asja; Wiskott, Laurenz

How to Center Deep Boltzmann Machines Journal Article

In: J. Mach. Learn. Res., 17 , pp. 99:1–99:61, 2016.

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2015

Lee, Dong-Hyun; Zhang, Saizheng; Fischer, Asja; Bengio, Yoshua

Difference Target Propagation Inproceedings

In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I, pp. 498–515, Springer, 2015.

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Fischer, Asja

Training Restricted Boltzmann Machines Journal Article

In: KI, 29 (4), pp. 441–444, 2015.

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Fischer, Asja; Igel, Christian

A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines Journal Article

In: Theor. Comput. Sci., 598 , pp. 102–117, 2015.

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Bengio, Yoshua; Mesnard, Thomas; Fischer, Asja; Zhang, Saizheng; Wu, Yuhai

An objective function for STDP Journal Article

In: CoRR, abs/1509.05936 , 2015.

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Bornschein, Jörg; Shabanian, Samira; Fischer, Asja; Bengio, Yoshua

Training opposing directed models using geometric mean matching Journal Article

In: CoRR, abs/1506.03877 , 2015.

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2014

Fischer, Asja; Igel, Christian

Training restricted Boltzmann machines: An introduction Journal Article

In: Pattern Recognit., 47 (1), pp. 25–39, 2014.

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2013

Krause, Oswin; Fischer, Asja; Glasmachers, Tobias; Igel, Christian

Approximation properties of DBNs with binary hidden units and real-valued visible units Inproceedings

In: Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, pp. 419–426, JMLR.org, 2013.

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Brügge, Kai; Fischer, Asja; Igel, Christian

The flip-the-state transition operator for restricted Boltzmann machines Journal Article

In: Mach. Learn., 93 (1), pp. 53–69, 2013.

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Melchior, Jan; Fischer, Asja; Wang, Nan; Wiskott, Laurenz

How to Center Binary Restricted Boltzmann Machines Journal Article

In: CoRR, abs/1311.1354 , 2013.

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54 entries « 1 of 2 »