6 citations · 19 across the 21 of their papers we have counts for
4 papers · 1 filter
Modalities, a PyTorch-native Framework For Large-scale LLM Training and Research
Max Lübbering, Timm Ruland, Richard Rutmann +8
Today's LLM (pre-) training and research workflows typically allocate a significant amount of compute to large-scale ablation studies. Despite the substantial compute costs of thes…
History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting
Sarthak Khanna, Armin Berger, Muskaan Chopra +2
Financial markets are inherently non-stationary: structural breaks and macroeconomic regime shifts often cause forecasting models to fail when deployed out of distribution (OOD). C…
Improving Chest X-Ray Classification by RNN-based Patient Monitoring
David Biesner, Helen Schneider, Benjamin Wulff +2
Chest X-Ray imaging is one of the most common radiological tools for detection of various pathologies related to the chest area and lung function. In a clinical setting, automated…
Generative Deep Learning Techniques for Password Generation
David Biesner, Kostadin Cvejoski, Bogdan Georgiev +2
Password guessing approaches via deep learning have recently been investigated with significant breakthroughs in their ability to generate novel, realistic password candidates. In…