Evaluating Metrics for Bias in Word Embeddings. - Sarah Schröder; Alexander Schulz 001; Philip Kenneweg; Robert Feldhans; Fabian Hinder; Barbara Hammer (CoRR, 2021)

Neural Architecture Search for Sentence Classification with BERT. - Philip Kenneweg; Sarah Schröder; Barbara Hammer (ESANN, 2022)

Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. - Philip Kenneweg; Alexander Schulz 001; Sarah Schröder; Barbara Hammer (IDEAL, 2022)

The SAME score: Improved cosine based bias score for word embeddings. - Sarah Schröder; Alexander Schulz 001; Philip Kenneweg; Robert Feldhans; Fabian Hinder; Barbara Hammer (CoRR, 2022)

Debiasing Sentence Embedders Through Contrastive Word Pairs. - Philip Kenneweg; Sarah Schröder; Alexander Schulz 001; Barbara Hammer (ICPRAM, 2023)

So Can We Use Intrinsic Bias Measures or Not? - Sarah Schröder; Alexander Schulz 001; Philip Kenneweg; Barbara Hammer (ICPRAM, 2023)

Faster Convergence for Transformer Fine-tuning with Line Search Methods. - Philip Kenneweg; Leonardo Galli; Tristan Kenneweg; Barbara Hammer (IJCNN, 2023)

Novel transfer learning schemes based on Siamese networks and synthetic data. - Philip Kenneweg; Dominik Stallmann; Barbara Hammer (Neural Comput. Appl., 2023)

When to Inject? Investigating Different Metrics for Conditional Context Injection in LLMs. - Tristan Kenneweg; Philip Kenneweg; Barbara Hammer (FLLM, 2024)

RAGVAL: Automatic Dataset Creation and Evaluation for RAG Systems. - Tristan Kenneweg; Philip Kenneweg; Barbara Hammer (FLLM, 2024)

No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. - Philip Kenneweg; Tristan Kenneweg; Fabian Fumagalli; Barbara Hammer (IJCNN, 2024)

Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup. - Tristan Kenneweg; Philip Kenneweg; Barbara Hammer (CoRR, 2024)

Improving Line Search Methods for Large Scale Neural Network Training. - Philip Kenneweg; Tristan Kenneweg; Barbara Hammer (CoRR, 2024)

Generating Synthetic Genotypes using Diffusion Models. - Philip Kenneweg; Raghuram Dandinasivara; Xiao Luo; Barbara Hammer; Alexander Schönhuth (CoRR, 2024)

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning. - Tristan Kenneweg; Philip Kenneweg; Barbara Hammer (CoRR, 2025)

Uncertainty-Aware Remaining Lifespan Prediction from Images. - Tristan Kenneweg; Philip Kenneweg; Barbara Hammer (CoRR, 2025)