Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... IEEE Transactions on Knowledge and Data Engineering 35 (1), 614-633, 2021 | 619 | 2021 |
Is reinforcement learning (not) for natural language processing?: Benchmarks, baselines, and building blocks for natural language policy optimization R Ramamurthy, P Ammanabrolu, K Brantley, J Hessel, R Sifa, ... International Conference on Learning Representations, 2023 | 151* | 2023 |
Towards Automated Auditing with Machine Learning R Sifa, A Ladi, M Pielka, R Ramamurthy, L Hillebrand, B Kirsch, D Biesner, ... Proceedings of the ACM Symposium on Document Engineering 2019, 1-4, 2019 | 43 | 2019 |
Anonymization of German Financial Documents using Neural Network-based Language Models with Contextual Word Representations D Biesner, R Ramamurthy, R Stenzel, M Lübbering, L Hillebrand, A Ladi, ... International Journal of Data Science and Analytics 13 (2), 151-161, 2022 | 29 | 2022 |
Towards Contradiction Detection in German: a translation-driven approach R Sifa, M Pielka, R Ramamurthy, A Ladi, L Hillebrand, C Bauckhage 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2497-2505, 2019 | 21 | 2019 |
Using Echo State Networks for Cryptography R Ramamurthy, C Bauckhage, K Buza, S Wrobel International Conference on Artificial Neural Networks, 663-671, 2017 | 18 | 2017 |
Leveraging Domain Knowledge for Reinforcement Learning using MMC architectures R Ramamurthy, C Bauckhage, R Sifa, J Schücker, S Wrobel International Conference on Artificial Neural Networks, 595-607, 2019 | 15 | 2019 |
Tackling Contradiction Detection in German using Machine Translation and End-to-end Recurrent Neural Networks M Pielka, R Sifa, LP Hillebrand, D Biesner, R Ramamurthy, A Ladi, ... 2020 25th International Conference on Pattern Recognition (ICPR), 6696-6701, 2021 | 14 | 2021 |
ALiBERT: Improved Automated List Inspection (ALI) with BERT R Ramamurthy, M Pielka, R Stenzel, C Bauckhage, R Sifa, TD Khameneh, ... Proceedings of the 21st ACM Symposium on Document Engineering, 1-4, 2021 | 13 | 2021 |
Echo State Networks for Named Entity Recognition R Ramamurthy, R Stenzel, R Sifa, A Ladi, C Bauckhage International Conference on Artificial Neural Networks, 110-120, 2019 | 12 | 2019 |
Informed machine learning-a taxonomy and survey of integrating knowledge into learning systems (2020) L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ... arXiv preprint arXiv:1903.12394, 2020 | 10 | 2020 |
Learning to generate better than your llm JD Chang, K Brantley, R Ramamurthy, D Misra, W Sun arXiv preprint arXiv:2306.11816, 2023 | 9 | 2023 |
Hopfield Networks for Vector Quantization C Bauckhage, R Ramamurthy, R Sifa International Conference on Artificial Neural Networks, 192-203, 2020 | 9 | 2020 |
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders M Lübbering, R Ramamurthy, M Gebauer, T Bell, R Sifa, C Bauckhage International Conference on Artificial Neural Networks, 27-38, 2020 | 8 | 2020 |
Matrix-and Tensor Factorization for Game Content Recommendation R Sifa, R Yawar, R Ramamurthy, C Bauckhage, K Kersting KI-Künstliche Intelligenz 34 (1), 57-67, 2020 | 8 | 2020 |
Decoupling autoencoders for robust one-vs-rest classification M Lübbering, M Gebauer, R Ramamurthy, C Bauckhage, R Sifa 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 6 | 2021 |
Supervised Autoencoder Variants for End to End Anomaly Detection M Lübbering, M Gebauer, R Ramamurthy, R Sifa, C Bauckhage International Conference on Pattern Recognition, 566-581, 2021 | 6 | 2021 |
Utilizing Representation Learning for Robust Text Classification Under Datasetshift. M Lübbering, M Gebauer, R Ramamurthy, M Pielka, C Bauckhage, R Sifa LWDA, 157-162, 2021 | 6 | 2021 |
Policy learning using SPSA R Ramamurthy, C Bauckhage, R Sifa, S Wrobel Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 6 | 2018 |
Bounding Open space Risk with Decoupling Autoencoders in Open Set Recognition M Lübbering, M Gebauer, R Ramamurthy, C Bauckhage, R Sifa International Journal of Data Science and Analytics, 1-23, 2022 | 4 | 2022 |