Using Echo State Networks for Cryptography. - Rajkumar Ramamurthy; Christian Bauckhage; Krisztián Búza; Stefan Wrobel (ICANN (2), 2017)

Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation. - Rafet Sifa; Raheel Yawar; Rajkumar Ramamurthy; Christian Bauckhage (AIIDE, 2018)

Policy Learning Using SPSA. - Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa; Stefan Wrobel (ICANN (3), 2018)

Towards Automated Auditing with Machine Learning. - Rafet Sifa; Anna Ladi; Maren Pielka; Rajkumar Ramamurthy; Lars Patrick Hillebrand; Birgit Kirsch; David Biesner; Robin Stenzel; Thiago Bell; Max Lübbering; Ulrich Nütten; Christian Bauckhage; et al. (DocEng, 2019)

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. - Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa; Jannis Schücker; Stefan Wrobel (ICANN (2), 2019)

Echo State Networks for Named Entity Recognition. - Rajkumar Ramamurthy; Robin Stenzel; Rafet Sifa; Anna Ladi; Christian Bauckhage (ICANN (Workshop), 2019)

A Community Detection Based Approach for Exploring Patterns in Player Reviews. - Maren Pielka; Rafet Sifa; Rajkumar Ramamurthy; César Ojeda; Christian Bauckhage (IntelliSys (1), 2019)

Towards Contradiction Detection in German: a Translation-Driven Approach. - Rafet Sifa; Maren Pielka; Rajkumar Ramamurthy; Anna Ladi; Lars Patrick Hillebrand; Christian Bauckhage (SSCI, 2019)

Hopfield Networks for Vector Quantization. - Christian Bauckhage; Rajkumar Ramamurthy; Rafet Sifa (ICANN (2), 2020)

From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. - Max Lübbering; Rajkumar Ramamurthy; Michael Gebauer; Thiago Bell; Rafet Sifa; Christian Bauckhage (ICANN (1), 2020)

Guided Reinforcement Learning via Sequence Learning. - Rajkumar Ramamurthy; Rafet Sifa; Max Lübbering; Christian Bauckhage (ICANN (2), 2020)

Supervised Autoencoder Variants for End to End Anomaly Detection. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Rafet Sifa; Christian Bauckhage (ICPR Workshops (2), 2020)

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. - Maren Pielka; Rafet Sifa; Lars Patrick Hillebrand; David Biesner; Rajkumar Ramamurthy; Anna Ladi; Christian Bauckhage (ICPR, 2020)

Novelty-Guided Reinforcement Learning via Encoded Behaviors. - Rajkumar Ramamurthy; Rafet Sifa; Max Lübbering; Christian Bauckhage (IJCNN, 2020)

NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. - Rajkumar Ramamurthy; Rafet Sifa; Christian Bauckhage (CoRR, 2020)

Matrix- and Tensor Factorization for Game Content Recommendation. - Rafet Sifa; Raheel Yawar; Rajkumar Ramamurthy; Christian Bauckhage; Kristian Kersting (Künstliche Intell., 2020)

ALiBERT: improved automated list inspection (ALI) with BERT. - Rajkumar Ramamurthy; Maren Pielka; Robin Stenzel; Christian Bauckhage; Rafet Sifa; Tim Dilmaghani Khameneh; Ulrich Warning; Bernd Kliem; Rüdiger Loitz (DocEng, 2021)

Decoupling Autoencoders for Robust One-vs-Rest Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (DSAA, 2021)

Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. - Max Lübbering; Maren Pielka; Kajaree Das; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (ESANN, 2021)

Utilizing Representation Learning for Robust Text Classification Under Datasetshift. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Maren Pielka; Christian Bauckhage; Rafet Sifa (LWDA, 2021)

Automatic Indexing of Financial Documents via Information Extraction. - Rajkumar Ramamurthy; Max Lübbering; Thiago Bell; Michael Gebauer; Bilge Ulusay; Daniel Uedelhoven; Tim Dilmaghani Khameneh; Rüdiger Loitz; Maren Pielka; Christian Bauckhage; Rafet Sifa (SSCI, 2021)

From Open Set Recognition Towards Robust Multi-class Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (ICANN (3), 2022)

Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. - David Biesner; Maren Pielka; Rajkumar Ramamurthy; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Rafet Sifa (ICMLA, 2022)

Anonymization of German financial documents using neural network-based language models with contextual word representations. - David Biesner; Rajkumar Ramamurthy; Robin Stenzel; Max Lübbering; Lars Patrick Hillebrand; Anna Ladi; Maren Pielka; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (Int. J. Data Sci. Anal., 2022)

Bounding open space risk with decoupling autoencoders in open set recognition. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (Int. J. Data Sci. Anal., 2022)

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. - Rajkumar Ramamurthy; Prithviraj Ammanabrolu; Kianté Brantley; Jack Hessel; Rafet Sifa; Christian Bauckhage; Hannaneh Hajishirzi; Yejin Choi 001 (ICLR, 2023)

Learning to Generate Better Than Your LLM. - Jonathan D. Chang; Kianté Brantley; Rajkumar Ramamurthy; Dipendra Misra; Wen Sun 002 (CoRR, 2023)

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. - Laura von Rüden; Sebastian Mayer; Katharina Beckh; Bogdan Georgiev; Sven Giesselbach; Raoul Heese; Birgit Kirsch; Julius Pfrommer; Annika Pick; Rajkumar Ramamurthy; Michal Walczak; Jochen Garcke; et al. (IEEE Trans. Knowl. Data Eng., 2023)

Practical Models for Sequential Decision Making in Natural Language Processing and Reinforcement Learning. - Rajkumar Ramamurthy (2023)

Self-rationalization improves LLM as a fine-grained judge. - Prapti Trivedi; Aditya Gulati; Oliver Molenschot; Meghana Arakkal Rajeev; Rajkumar Ramamurthy; Keith Stevens; Tanveesh Singh Chaudhery; Jahnavi Jambholkar; James Zou 001; Nazneen Rajani (CoRR, 2024)

VERITAS: A Unified Approach to Reliability Evaluation. - Rajkumar Ramamurthy; Meghana Arakkal Rajeev; Oliver Molenschot; James Zou 001; Nazneen Rajani (CoRR, 2024)

Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models. - Meghana Arakkal Rajeev; Rajkumar Ramamurthy; Prapti Trivedi; Vikas Yadav; Oluwanifemi Bamgbose; Sathwik Tejaswi Madhusudhan; James Zou 001; Nazneen Rajani (CoRR, 2025)