Saved in:
| Main Authors: | Wrat, Gyan, Das, J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.20926 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Low-cost modular devices for on-road vehicle detection and characterisation
by: Poza-Lujan, Jose-Luis, et al.
Published: (2024)
by: Poza-Lujan, Jose-Luis, et al.
Published: (2024)
Revealing data leakage in protein interaction benchmarks
by: Bushuiev, Anton, et al.
Published: (2024)
by: Bushuiev, Anton, et al.
Published: (2024)
The causal relation between off-street parking and electric vehicle adoption in Scotland
by: D'Amico, Bernardino, et al.
Published: (2026)
by: D'Amico, Bernardino, et al.
Published: (2026)
The impact of sensor placement on graph-neural-network-based leakage detection
by: van Gemert, J. J. H., et al.
Published: (2026)
by: van Gemert, J. J. H., et al.
Published: (2026)
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
by: Wang, Yuchun, et al.
Published: (2024)
by: Wang, Yuchun, et al.
Published: (2024)
Probabilistic road classification in historical maps using synthetic data and deep learning
by: Mühlematter, Dominik J., et al.
Published: (2024)
by: Mühlematter, Dominik J., et al.
Published: (2024)
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach
by: Abdullah, Abdullah, et al.
Published: (2024)
by: Abdullah, Abdullah, et al.
Published: (2024)
Robust sensor fusion against on-vehicle sensor staleness
by: Fan, Meng, et al.
Published: (2025)
by: Fan, Meng, et al.
Published: (2025)
Deep learning-based pavement performance modeling using multiple distress indicators and road work history
by: Gao, Lu, et al.
Published: (2026)
by: Gao, Lu, et al.
Published: (2026)
Power side-channel leakage localization through adversarial training of deep neural networks
by: Gammell, Jimmy, et al.
Published: (2024)
by: Gammell, Jimmy, et al.
Published: (2024)
Elimination-compensation pruning for fully-connected neural networks
by: Ballini, Enrico, et al.
Published: (2026)
by: Ballini, Enrico, et al.
Published: (2026)
Controlled privacy leakage propagation throughout overlapping grouped learning
by: Kiani, Shahrzad, et al.
Published: (2025)
by: Kiani, Shahrzad, et al.
Published: (2025)
TADPO: Reinforcement Learning Goes Off-road
by: Wu, Zhouchonghao, et al.
Published: (2026)
by: Wu, Zhouchonghao, et al.
Published: (2026)
Guided parallelized stochastic gradient descent for delay compensation
by: Sharma, Anuraganand
Published: (2021)
by: Sharma, Anuraganand
Published: (2021)
Driving behavior-guided battery health monitoring for electric vehicles using machine learning
by: Jiang, Nanhua, et al.
Published: (2023)
by: Jiang, Nanhua, et al.
Published: (2023)
Preference-aware compensation policies for crowdsourced on-demand services
by: Nouli, Georgina, et al.
Published: (2025)
by: Nouli, Georgina, et al.
Published: (2025)
Linear probes rely on textual evidence: Results from leakage mitigation studies in language models
by: Boxo, Gerard, et al.
Published: (2025)
by: Boxo, Gerard, et al.
Published: (2025)
Interpretable long-term traffic modelling on national road networks using theory-informed deep learning
by: Li, Yue, et al.
Published: (2026)
by: Li, Yue, et al.
Published: (2026)
Heart disease risk prediction using deep learning techniques with feature augmentation
by: García-Ordás, María Teresa, et al.
Published: (2024)
by: García-Ordás, María Teresa, et al.
Published: (2024)
Spatio-temporal modelling of electric vehicle charging demand
by: Bouaachra, Kaoutar, et al.
Published: (2026)
by: Bouaachra, Kaoutar, et al.
Published: (2026)
Data selection method for assessment of autonomous vehicles
by: Trinh, Linh, et al.
Published: (2024)
by: Trinh, Linh, et al.
Published: (2024)
Ensembles at Any Cost? Accuracy-Energy Trade-offs in Recommender Systems
by: Nitschke, Jannik, et al.
Published: (2026)
by: Nitschke, Jannik, et al.
Published: (2026)
Protein sequence classification using natural language processing techniques
by: Perveen, Huma, et al.
Published: (2024)
by: Perveen, Huma, et al.
Published: (2024)
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals
by: Gutierrez, Daniel Mauricio Jimenez, et al.
Published: (2022)
by: Gutierrez, Daniel Mauricio Jimenez, et al.
Published: (2022)
Enhancing variational quantum state diagonalization using reinforcement learning techniques
by: Kundu, Akash, et al.
Published: (2023)
by: Kundu, Akash, et al.
Published: (2023)
Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques
by: Roark, Amalie, et al.
Published: (2025)
by: Roark, Amalie, et al.
Published: (2025)
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL
by: Iyer, Venkataraman Natarajan
Published: (2024)
by: Iyer, Venkataraman Natarajan
Published: (2024)
Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data
by: Zeng, Jinwei, et al.
Published: (2024)
by: Zeng, Jinwei, et al.
Published: (2024)
Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models
by: Chen, Pin-Yu, et al.
Published: (2025)
by: Chen, Pin-Yu, et al.
Published: (2025)
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers
by: Mishra, Cyan Subhra, et al.
Published: (2024)
by: Mishra, Cyan Subhra, et al.
Published: (2024)
Super Agents and Confounders: Influence of surrounding agents on vehicle trajectory prediction
by: Jost, Daniel, et al.
Published: (2026)
by: Jost, Daniel, et al.
Published: (2026)
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
by: Dutta, Debanjan, et al.
Published: (2025)
by: Dutta, Debanjan, et al.
Published: (2025)
Controllable risk scenario generation from human crash data for autonomous vehicle testing
by: Lu, Qiujing, et al.
Published: (2025)
by: Lu, Qiujing, et al.
Published: (2025)
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
by: Nadarajan, Parthasarathy, et al.
Published: (2025)
by: Nadarajan, Parthasarathy, et al.
Published: (2025)
Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba
by: Somvanshi, Shriyank, et al.
Published: (2025)
by: Somvanshi, Shriyank, et al.
Published: (2025)
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction
by: Bian, Zilin, et al.
Published: (2024)
by: Bian, Zilin, et al.
Published: (2024)
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
by: Balcan, Maria-Florina, et al.
Published: (2022)
by: Balcan, Maria-Florina, et al.
Published: (2022)
Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)
by: van der Laan, Lars, et al.
Published: (2023)
Energy-convergence trade off for the training of neural networks on bio-inspired hardware
by: Garg, Nikhil, et al.
Published: (2025)
by: Garg, Nikhil, et al.
Published: (2025)
Shared learning of powertrain control policies for vehicle fleets
by: Kerbel, Lindsey, et al.
Published: (2024)
by: Kerbel, Lindsey, et al.
Published: (2024)
Similar Items
-
Low-cost modular devices for on-road vehicle detection and characterisation
by: Poza-Lujan, Jose-Luis, et al.
Published: (2024) -
Revealing data leakage in protein interaction benchmarks
by: Bushuiev, Anton, et al.
Published: (2024) -
The causal relation between off-street parking and electric vehicle adoption in Scotland
by: D'Amico, Bernardino, et al.
Published: (2026) -
The impact of sensor placement on graph-neural-network-based leakage detection
by: van Gemert, J. J. H., et al.
Published: (2026) -
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
by: Wang, Yuchun, et al.
Published: (2024)