Melanie Schaller

FLEET: Token-Based Feature Extraction for Event Camera-based Reinforcement Learning

Tristan Gottwald, Maximilian Schier, Melanie Schaller, Bodo Rosenhahn

Event cameras generate asynchronous, high-frequency data streams offering spatially sparse information at lower latency than traditional cameras. In principle, these properties should be ideal for the design of control policies. However, reinforcement learning research in this field remains limited as existing approaches …

CUDA Kernel Optimization and Counter-Free Performance Analysis for Depthwise Convolution in Cloud Environments

Huriyeh Babak, Melanie Schaller

Efficient GPU execution of convolution operators is governed by memory-access efficiency, on-chip data reuse, and execution mapping rather than arithmetic throughput alone. This paper presents a controlled operator-level study of CUDA kernel optimization for the depthwise convolution used in Structured State Space …

CUDA Kernel Optimization and Counter-Free Performance Analysis for Depthwise Convolution in Cloud Environments

Huriyeh Babak, Melanie Schaller

Efficient GPU execution of convolution operators is governed by memory-access efficiency, on-chip data reuse, and execution mapping rather than arithmetic throughput alone. This paper presents a controlled operator-level study of CUDA kernel optimization for the depthwise convolution used in Structured State Space …

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Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models

Nick Janßen, Melanie Schaller, Bodo Rosenhahn

Understanding the robustness of deep learning models for multivariate long-term time series forecasting (M-LTSF) remains challenging, as evaluations typically rely on real-world datasets with unknown noise properties. We propose a simulation-based evaluation framework that generates parameterizable synthetic datasets, where each dataset instance …

S4D-Bio Audio Monitoring of Bone Cement Disintegration in Pulsating Fluid Jet Surgery under Laboratory Conditions

Melanie Schaller, Sergej Hloch, Akash Nag, Dagmar Klichová et autres

This study investigates a pulsating fluid jet as a novel precise, minimally invasive and cold technique for bone cement removal. We utilize the pulsating fluid jet device to remove bone cement from samples designed to mimic clinical conditions. The effectiveness of long …

AutoML for multi-class anomaly compensation of sensor drift

Melanie Schaller, Mathis Kruse, Antonio J. Ortega, Marius Lindauer et autres

Addressing sensor drift is essential in industrial measurement systems, where precise data output is necessary for maintaining accuracy and reliability in monitoring processes, as it progressively degrades the performance of machine learning models over time. Our findings indicate that the standard cross-validation …

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AutoML for Multi-Class Anomaly Compensation of Sensor Drift

Melanie Schaller, Mathis Kruse, Antonio J. Ortega, Marius Lindauer et autres

Addressing sensor drift is essential in industrial measurement systems, where precise data output is necessary for maintaining accuracy and reliability in monitoring processes, as it progressively degrades the performance of machine learning models over time. Our findings indicate that the standard cross-validation …