Saved in:
| Main Authors: | Graser, Anita, Jalali, Anahid, Lampert, Jasmin, Weißenfeld, Axel, Janowicz, Krzysztof |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.00732 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Learning for Anomaly Detection in Maritime Movement Data
by: Graser, Anita, et al.
Published: (2025)
by: Graser, Anita, et al.
Published: (2025)
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
by: Graser, Anita
Published: (2025)
by: Graser, Anita
Published: (2025)
Federated Learning and Trajectory Compression for Enhanced AIS Coverage
by: Gräupl, Thomas, et al.
Published: (2025)
by: Gräupl, Thomas, et al.
Published: (2025)
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
by: Wang, Zhangyu, et al.
Published: (2024)
by: Wang, Zhangyu, et al.
Published: (2024)
Probing the Information Theoretical Roots of Spatial Dependence Measures
by: Wang, Zhangyu, et al.
Published: (2024)
by: Wang, Zhangyu, et al.
Published: (2024)
Uncovering Regional Defaults from Photorealistic Forests in Text-to-Image Generation with DALL-E 2
by: Liu, Zilong, et al.
Published: (2024)
by: Liu, Zilong, et al.
Published: (2024)
From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning
by: Zakerinia, Hossein, et al.
Published: (2025)
by: Zakerinia, Hossein, et al.
Published: (2025)
RepDL: Bit-level Reproducible Deep Learning Training and Inference
by: Xie, Peichen, et al.
Published: (2025)
by: Xie, Peichen, et al.
Published: (2025)
ScaleDL: Towards Scalable and Efficient Runtime Prediction for Distributed Deep Learning Workloads
by: Wang, Xiaokai, et al.
Published: (2025)
by: Wang, Xiaokai, et al.
Published: (2025)
SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
by: Zhao, Minjun, et al.
Published: (2023)
by: Zhao, Minjun, et al.
Published: (2023)
Learning Demographic-Conditioned Mobility Trajectories with Aggregate Supervision
by: Li, Jessie Z., et al.
Published: (2026)
by: Li, Jessie Z., et al.
Published: (2026)
CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
by: Lampert, Moritz, et al.
Published: (2024)
by: Lampert, Moritz, et al.
Published: (2024)
Physical Data Embedding for Memory Efficient AI
by: MacPhee, Callen, et al.
Published: (2024)
by: MacPhee, Callen, et al.
Published: (2024)
Discovering Car-following Dynamics from Trajectory Data through Deep Learning
by: Angah, Ohay, et al.
Published: (2024)
by: Angah, Ohay, et al.
Published: (2024)
Deep Kernel Learning for Stratifying Glaucoma Trajectories
by: Rushing, Bruce, et al.
Published: (2026)
by: Rushing, Bruce, et al.
Published: (2026)
Controllable Data Generation by Deep Learning: A Review
by: Wang, Shiyu, et al.
Published: (2022)
by: Wang, Shiyu, et al.
Published: (2022)
From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD
by: Lampert, Christoph H., et al.
Published: (2026)
by: Lampert, Christoph H., et al.
Published: (2026)
Causal Deep Learning
by: Berrevoets, Jeroen, et al.
Published: (2023)
by: Berrevoets, Jeroen, et al.
Published: (2023)
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
by: Wang, Huandong, et al.
Published: (2024)
by: Wang, Huandong, et al.
Published: (2024)
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
by: Jungel, Kai, et al.
Published: (2023)
by: Jungel, Kai, et al.
Published: (2023)
BERT4Traj: Transformer Based Trajectory Reconstruction for Sparse Mobility Data
by: Yang, Hao, et al.
Published: (2025)
by: Yang, Hao, et al.
Published: (2025)
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
by: Jalali, Parnian, et al.
Published: (2023)
by: Jalali, Parnian, et al.
Published: (2023)
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms
by: Pudasaini, Niraj, et al.
Published: (2024)
by: Pudasaini, Niraj, et al.
Published: (2024)
Evaluation of Machine and Deep Learning Techniques for Cyclone Trajectory Regression and Status Classification by Time Series Data
by: Lo, Ethan Zachary, et al.
Published: (2025)
by: Lo, Ethan Zachary, et al.
Published: (2025)
DL-EWF: Deep Learning Empowering Women's Fashion with Grounded-Segment-Anything Segmentation for Body Shape Classification
by: Asghari, Fatemeh, et al.
Published: (2024)
by: Asghari, Fatemeh, et al.
Published: (2024)
GTG: Generalizable Trajectory Generation Model for Urban Mobility
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
Deep Learning on Graphs for Mobile Network Topology Generation
by: Meli, Felix Nannesson, et al.
Published: (2025)
by: Meli, Felix Nannesson, et al.
Published: (2025)
PeFLL: Personalized Federated Learning by Learning to Learn
by: Scott, Jonathan, et al.
Published: (2023)
by: Scott, Jonathan, et al.
Published: (2023)
Adaptive Degradation Process with Deep Learning-Driven Trajectory
by: Yang, Li
Published: (2021)
by: Yang, Li
Published: (2021)
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning
by: Dymchenko, Sofya, et al.
Published: (2024)
by: Dymchenko, Sofya, et al.
Published: (2024)
Aircraft Landing Time Prediction with Deep Learning on Trajectory Images
by: Huang, Liping, et al.
Published: (2024)
by: Huang, Liping, et al.
Published: (2024)
Attention Trajectories as a Diagnostic Axis for Deep Reinforcement Learning
by: Beylier, Charlotte, et al.
Published: (2025)
by: Beylier, Charlotte, et al.
Published: (2025)
A Comprehensive Forecasting-Based Framework for Time Series Anomaly Detection: Benchmarking on the Numenta Anomaly Benchmark (NAB)
by: Karami, Mohammad, et al.
Published: (2025)
by: Karami, Mohammad, et al.
Published: (2025)
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
by: Zakerinia, Hossein, et al.
Published: (2024)
by: Zakerinia, Hossein, et al.
Published: (2024)
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
by: Zakerinia, Hossein, et al.
Published: (2025)
by: Zakerinia, Hossein, et al.
Published: (2025)
Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
by: Zverev, Egor, et al.
Published: (2024)
by: Zverev, Egor, et al.
Published: (2024)
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions
by: Fan, Jiani, et al.
Published: (2025)
by: Fan, Jiani, et al.
Published: (2025)
Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search
by: Bogoclu, Can, et al.
Published: (2024)
by: Bogoclu, Can, et al.
Published: (2024)
Similar Items
-
Federated Learning for Anomaly Detection in Maritime Movement Data
by: Graser, Anita, et al.
Published: (2025) -
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
by: Graser, Anita
Published: (2025) -
Federated Learning and Trajectory Compression for Enhanced AIS Coverage
by: Gräupl, Thomas, et al.
Published: (2025) -
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
by: Wang, Zhangyu, et al.
Published: (2024) -
Probing the Information Theoretical Roots of Spatial Dependence Measures
by: Wang, Zhangyu, et al.
Published: (2024)