| 2025 | CBMS | Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes. | Sarala Ghimire, Turgay elik, Martin Gerdes, Christian W. Omlin |
| 2025 | IJCCI | Uncertainty in Deep Model Performance for Radiology: A Case Study of Classifying Maxillary Sinus Appearance. | Fara Aninha Fernandes, Martin Gerdes, Georgi Chaltikyan, Christian W. Omlin |
| 2024 | SGAI | Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. | Martin Holen, Jayant Singh, Christian W. Omlin, Jing Zhou, Kristian Muri Knausgrd, Morten Goodwin |
| 2024 | SGAI | Localized Affinity-Based Reinforcement Learning for Interpretable State-Specific Decision-Making. | Ajay Vishwanath, Christian W. Omlin |
| 2023 | ICTAI | Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning. | Touseef Sadiq, Christian W. Omlin |
| 2022 | HealthCom | Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. | Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin |
| 2021 | IJCNN | Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. | Micheal Dutt, Morten Goodwin, Christian W. Omlin |
| 2016 | IJCNN | An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. | Rohitash Chandra, Ratneel Deo, Christian W. Omlin |
| 2014 | ICIP | Facial action unit intensity estimation using rotation invariant features and regression analysis. | Deniz Bingol, Turgay elik, Christian W. Omlin, Hima B. Vadapalli |
| 2001 | IWANN | Inductive Bias in Recurrent Neural Networks. | Sean Snyders, Christian W. Omlin |
| 2001 | IWANN | Knowledge-Based Neural Networks for Modelling Time Series. | Jacobus van Zyl, Christian W. Omlin |
| 2000 | CIKM | DEADLINER: Building a New Niche Search Engine. | Andries Kruger, C. Lee Giles, Frans Coetzee, Eric J. Glover, Gary William Flake, Steve Lawrence, Christian W. Omlin |
| 2000 | IJCNN | What Inductive Bias Gives Good Neural Network Training Performance? | Sean Snyders, Christian W. Omlin |
| 2000 | IJCNN | Refining Hidden Markov Models with Recurrent Neural Networks. | T. Wessels, Christian W. Omlin |
| 2000 | IJCNN | A Hybrid System for Signature Verification. | T. Wessels, Christian W. Omlin |
| 1992 | ICML | Training Second-Order Recurrent Neural Networks using Hints. | Christian W. Omlin, C. Lee Giles |