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| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Bonek, Erik ; Bittner, Matthias ; Hauer, Daniel ; Wilker, Stefan ; Jantsch, Axel | Benchmarking Recurrent Neural Networks for Efficient Load Forecasting in Low-Voltage Grids | Inproceedings Konferenzbeitrag  | 22-Feb-2026 |
| 2 | | Hobeichi, Sanaa ; Curran, Declan ; Bittner, Matthias ; Isphording, Rachael N. ; White, Bethan A. ; Lisa V. Alexander ; Sun, Yue ; de Burgh-Day, Catherine | Applying a Standardized Benchmarking Framework to Evaluate AI Methods for Precipitation Downscaling over Australia | Article Artikel | 1-Jan-2026 |
| 3 | | Janser, Jonas ; Wess, Matthias ; Dallinger, Dominik ; Bittner, Matthias ; Schnöll, Daniel ; Jantsch, Axel | Spring Reverb Emulation with Hybrid Gated Convolutional Networks and State Space Models | Inproceedings Konferenzbeitrag | 2026 |
| 4 | | Bittner, Matthias ; Schnöll, Daniel ; Seiler, Fabian ; Wess, Matthias ; Jantsch, Axel | Modeling Diagonal State Space Models as Electric Circuits for Analog Neural Network Inference | Inproceedings Konferenzbeitrag | 2026 |
| 5 | | Bittner, Matthias ; Schnöll, Daniel ; Wess, Matthias ; Jantsch, Axel | Efficient and interpretable raw audio classification with diagonal state space models | Article Artikel | Aug-2025 |
| 6 | | Hobeichi, Sanaa ; Curran, Declan Jacques ; Sun, Yue ; Bittner, Matthias ; Isphording, Rachael ; Alexander, Lisa | Comparison of State-of-the-Art Machine Learning Models with Dynamical Downscaling for Australian Precipitation Using a Standardised Benchmark Framework | Presentation Vortrag | 3-Jun-2025 |
| 7 | | Lechner, Martin ; Jantsch, Axel | OptiSim: A Hardware-Aware Optimization Space Exploration Tool for CNN Architectures | Inproceedings Konferenzbeitrag | 1-Jan-2025 |
| 8 | | Bittner, Matthias ; Hinterreiter, Andreas ; Eckelt, Klaus ; Streit, Marc | Explainable Long and Short-Term Pattern Detection in Projected Sequential Data | Inproceedings Konferenzbeitrag | 2025 |
| 9 | | Bittner, Matthias ; Schnöll, Daniel ; Dallinger, Dominik ; Wess, Matthias ; Jantsch, Axel | Pruning State Space Models with Model Order Reduction for Efficient Raw Audio Classification | Inproceedings Konferenzbeitrag | 2025 |
| 10 | | Dallinger, Dominik ; Bittner, Matthias ; Schnöll, Daniel ; Wess, Matthias ; Jantsch, Axel | Piano-SSM: Diagonal State Space Models for Efficient MIDI-to-Raw Audio Synthesis | Inproceedings Konferenzbeitrag | 2025 |
| 11 | | Hobeichi, Sanaa ; Shao, Yawen ; Rampal, Neelesh ; Bittner, Matthias ; Abramowitz, Gab | Revisiting Tabular Machine Learning and Sequential Models to Advance Climate Downscaling | Presentation Vortrag | 17-Apr-2024 |
| 12 | | Bittner, Matthias ; Hauer, Daniel ; Wess, Matthias ; Schnöll, Daniel ; Diwold, Konrad ; Jantsch, Axel | Forecasting Load Profiles and Critical Overloads with Uncertainty Quantification for Low Voltage Smart Grids | Inproceedings Konferenzbeitrag | 2024 |
| 13 |  | Wess, Matthias ; Schnöll, Daniel ; Dallinger, Dominik ; Bittner, Matthias ; Jantsch, Axel | Conformal Prediction Based Confidence for Latency Estimation of DNN Accelerators: A Black-Box Approach | Article Artikel   | 2024 |
| 14 | | Bittner, Matthias ; Hauer, Daniel ; Wess, Matthias ; Dallinger, Dominik ; Schnöll, Daniel ; Diwold, Konrad ; Jantsch, Axel | Interpretable Load Forecasting with Structured State Space Neural Networks | Inproceedings Konferenzbeitrag | 2024 |
| 15 | | Bittner, Matthias ; Hobeichi, Sanaa ; Zawish, Muhammad ; Diatta, Samo ; Ozioko, Remigus ; Xu, Sharon ; Jantsch, Axel | An LSTM-based Downscaling Framework for Australian Precipitation Projections | Presentation Vortrag | Dec-2023 |
| 16 | | Wess, Matthias ; Dallinger, Dominik ; Schnöll, Daniel ; Bittner, Matthias ; Götzinger, Maximilian ; Jantsch, Axel | Energy Profiling of DNN Accelerators | Inproceedings Konferenzbeitrag | 2023 |
