Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Wagner Félix"'
Autor:
Saha, Pramit, Wagner, Felix, Mishra, Divyanshu, Peng, Can, Thakur, Anshul, Clifton, David, Kamnitsas, Konstantinos, Noble, J. Alison
Effective training of large Vision-Language Models (VLMs) on resource-constrained client devices in Federated Learning (FL) requires the usage of parameter-efficient fine-tuning (PEFT) strategies. To this end, we demonstrate the impact of two factors
Externí odkaz:
http://arxiv.org/abs/2411.11912
Autor:
Wagner, Felix, Xu, Wentian, Saha, Pramit, Liang, Ziyun, Whitehouse, Daniel, Menon, David, Newcombe, Virginia, Voets, Natalie, Noble, J. Alison, Kamnitsas, Konstantinos
Segmentation models for brain lesions in MRI are typically developed for a specific disease and trained on data with a predefined set of MRI modalities. Such models cannot segment the disease using data with a different set of MRI modalities, nor can
Externí odkaz:
http://arxiv.org/abs/2406.11636
Autor:
Xu, Wentian, Moffat, Matthew, Seale, Thalia, Liang, Ziyun, Wagner, Felix, Whitehouse, Daniel, Menon, David, Newcombe, Virginia, Voets, Natalie, Banerjee, Abhirup, Kamnitsas, Konstantinos
Publikováno v:
Proceedings of Machine Learning Research, MIDL 2024
Models for segmentation of brain lesions in multi-modal MRI are commonly trained for a specific pathology using a single database with a predefined set of MRI modalities, determined by a protocol for the specific disease. This work explores the follo
Externí odkaz:
http://arxiv.org/abs/2405.18511
Multimodal Federated Learning (MMFL) utilizes multiple modalities in each client to build a more powerful Federated Learning (FL) model than its unimodal counterpart. However, the impact of missing modality in different clients, also called modality
Externí odkaz:
http://arxiv.org/abs/2402.05294
Understanding why travel behavior differs between residents of urban centers and suburbs is key to sustainable urban planning. Especially in light of rapid urban growth, identifying housing locations that minimize travel demand and induced CO2 emissi
Externí odkaz:
http://arxiv.org/abs/2312.06616
Deployment of Deep Neural Networks in medical imaging is hindered by distribution shift between training data and data processed after deployment, causing performance degradation. Post-Deployment Adaptation (PDA) addresses this by tailoring a pre-tra
Externí odkaz:
http://arxiv.org/abs/2308.16735
Autor:
Wagner, Felix, Nachtigall, Florian, Franken, Lukas, Milojevic-Dupont, Nikola, Pereira, Rafael H. M., Koch, Nicolas, Runge, Jakob, Gonzalez, Marta, Creutzig, Felix
Climate change mitigation in urban mobility requires policies reconfiguring urban form to increase accessibility and facilitate low-carbon modes of transport. However, current policy research has insufficiently assessed urban form effects on car trav
Externí odkaz:
http://arxiv.org/abs/2308.16599
Unsupervised anomaly segmentation aims to detect patterns that are distinct from any patterns processed during training, commonly called abnormal or out-of-distribution patterns, without providing any associated manual segmentations. Since anomalies
Externí odkaz:
http://arxiv.org/abs/2308.16150
Autor:
Frisch, Yannik, Fuchs, Moritz, Sanner, Antoine, Ucar, Felix Anton, Frenzel, Marius, Wasielica-Poslednik, Joana, Gericke, Adrian, Wagner, Felix Mathias, Dratsch, Thomas, Mukhopadhyay, Anirban
Cataract surgery is a frequently performed procedure that demands automation and advanced assistance systems. However, gathering and annotating data for training such systems is resource intensive. The publicly available data also comprises severe im
Externí odkaz:
http://arxiv.org/abs/2308.02587
Autor:
Wagner, Felix, Bartolot, Daniel, Rizvanovic, Damir, Reindl, Florian, Schieck, Jochen, Waltenberger, Wolfgang
Cryogenic solid state detectors are widely used in dark matter and neutrino experiments, and require a sensible raw data analysis. For this purpose, we present Cait, an open source Python package with all essential methods for the analysis of detecto
Externí odkaz:
http://arxiv.org/abs/2207.02187