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annel-models/2026-09-20T11:25:02+02:00https://mlps-lab.de/publication/radio-foundation-models-pre-training-transformers-for-5g-based-indoor-localization/2026-09-20T11:27:01+02:00https://mlps-lab.de/publication/learning-event-detection-rules-with-noise-hidden-markov-models/2026-09-20T11:29:20+02:00https://mlps-lab.de/publication/unitary-synthesis-of-cliffordt-circuits-with-reinforcement-learning/2026-09-20T11:30:59+02:00https://mlps-lab.de/publication/auxiliary-cross-modal-representation-learning-with-triplet-loss-functions-for-online-handwriting-recognition/2026-09-20T11:32:53+02:00https://mlps-lab.de/publication/joint-classification-and-trajectory-regression-of-online-handwriting-using-a-multi-task-learning-approach/2026-09-20T11:35:00+02:00https://mlps-lab.de/publication/a-location-based-vr-museum/2026-09-20T11:38:13+02:00https://mlps-lab.de/publication/high-speed-collision-avoidance-using-deep-reinforcement-learning-and-domain-randomization-for-autonomous-vehicles/2026-09-20T11:40:26+02:00https://mlps-lab.de/publication/recurrent-neural-networks-on-drifting-time-of-flight-measurements/2026-09-20T11:41:54+02:00https://mlps-lab.de/publication/incremental-data-uploading-for-full-quantum-classification/2026-09-20T11:43:11+02:00https://mlps-lab.de/publication/energy-efficient-deployment-of-deep-learning-applications-on-cortex-m-based-microcontrollers-using-deep-compression/2026-09-20T12:02:24+02:00https://mlps-lab.de/publication/adaptive-speculative-processing-of-out-of-order-event-streams/2026-09-20T12:05:10+02:00https://mlps-lab.de/publication/reliable-speculative-processing-of-out-of-order-event-streams-in-generic-publish-subscribe-middlewares/2026-09-20T12:07:15+02:00https://mlps-lab.de/publication/on-device-training-of-fully-quantized-deep-neural-networks-on-cortex-m-microcontrollers/2026-09-20T12:08:49+02:00https://mlps-lab.de/publication/velocity-based-channel-charting-with-spatial-distribution-map-matching/2026-09-20T12:51:07+02:00https://mlps-lab.de/publication/offsite-evaluation-of-localization-systems-criteria-systems-and-results-from-ipin-2021-22-competitions/2026-09-20T12:54:11+02:00https://mlps-lab.de/publication/quantum-natural-policy-gradients-towards-sample-efficient-reinforcement-learning/2026-09-20T12:55:50+02:00https://mlps-lab.de/publication/indoor-positioning-using-ofdm-based-visible-light-communications-systems/2026-09-20T12:57:26+02:00https://mlps-lab.de/publication/scim-milq-an-hpc-quantum-scheduler/2026-09-20T12:58:22+02:00https://mlps-lab.de/publication/few-shot-learning-with-uncertainty-based-quadruplet-selection-for-interference-classification-in-gnss-data/2026-09-20T13:00:11+02:00https://mlps-lab.de/publication/deep-reinforcement-learning-for-motion-planning-of-mobile-robots/2026-09-20T13:01:40+02:00https://mlps-lab.de/publication/low-complexity-pdoa-based-localization/2026-09-20T13:03:31+02:00https://mlps-lab.de/publication/evaluating-ml-robustness-in-gnss-interference-classification-characterization-localization/2026-09-20T13:05:00+02:00https://mlps-lab.de/publication/guided-spsa-simultaneous-perturbation-stochastic-approximation-assisted-by-the-parameter-shift-rule/2026-09-20T13:06:47+02:00https://mlps-lab.de/publication/bayesian-learning-driven-prototypical-contrastive-loss-for-class-incremental-learning/2026-09-20T13:08:53+02:00https://mlps-lab.de/publication/qiskit-torch-module-fast-prototyping-of-quantum-neural-networks/2026-09-20T13:11:20+02:00https://mlps-lab.de/publication/evaluation-criteria-for-inside-out-indoor-positioning-systems-based-on-machine-learning/2026-09-20T13:13:01+02:00https://mlps-lab.de/publication/uncertainty-aware-evaluation-of-time-series-classification-for-online-handwriting-recognition-with-domain-shift/2026-09-20T13:18:14+02:00https://mlps-lab.de/publication/supervised-learning-for-yaw-orientation-estimation/2026-09-20T13:20:31+02:00https://mlps-lab.de/publication/acoustical-manipulation-for-redirected-walking/2026-09-20T13:23:03+02:00https://mlps-lab.de/publication/federated-learning-with-mmd-based-early-stopping-for-adaptive-gnss-interference-classification/2026-09-20T13:24:53+02:00https://mlps-lab.de/publication/combining-multi-objective-bayesian-optimization-with-reinforcement-learning-for-tinyml/2026-09-20T13:28:32+02:00https://mlps-lab.de/publication/bcqq-batch-constraint-quantum-q-learning-with-cyclic-data-re-uploading/2026-09-20T13:30:23+02:00https://mlps-lab.de/publication/improving-quantum-and-classical-decomposition-methods-for-vehicle-routing/2026-09-20T13:32:06+02:00https://mlps-lab.de/publication/inter-satellite-ranging-in-the-low-earth-orbit/2026-09-20T13:33:28+02:00https://mlps-lab.de/publication/benchmarking-quantum-reinforcement-learning/2026-09-20T13:36:04+02:00https://mlps-lab.de/publication/deep-siamese-metric-learning-a-highly-scalable-approach-to-searching-unordered-sets-of-trajectories/2026-09-20T14:30:59+02:00https://mlps-lab.de/publication/human-compensation-strategies-for-orientation-drifts/2026-09-20T14:32:57+02:00https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