:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cohen, Noa, Dror, Rotem, Klein, Itzik
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.15315
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions
by: Cohen, Nadav, et al.
Published: (2023)

WMINet: A Wheel-Mounted Inertial Learning Approach For Mobile-Robot Positioning
by: Versano, Gal, et al.
Published: (2025)

PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms
by: Sahoo, Arup Kumar, et al.
Published: (2026)

DoorINet: Door Heading Prediction through Inertial Deep Learning
by: Zakharchenko, Aleksei, et al.
Published: (2024)

Diffusion Denoiser-Aided Gyrocompassing
by: Ben-Arie, Gershy, et al.
Published: (2025)

A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion
by: Or, Barak, et al.
Published: (2022)

Data-Driven Strategies for Coping with Incomplete DVL Measurements
by: Cohen, Nadav, et al.
Published: (2024)

Rapid Gyroscope Calibration: A Deep Learning Approach
by: Stolero, Yair, et al.
Published: (2024)

Data-Driven Gyroscope Calibration
by: Yampolsky, Zeev, et al.
Published: (2024)

Deep Learning Assisted Inertial Dead Reckoning and Fusion
by: Hurwitz, Dror, et al.
Published: (2024)

DCNet: A Data-Driven Framework for DVL Calibration
by: Yampolsky, Zeev, et al.
Published: (2024)

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
by: Sahoo, Arup Kumar, et al.
Published: (2025)

Adaptive Kalman-Informed Transformer
by: Cohen, Nadav, et al.
Published: (2024)

Seamless Underwater Navigation with Limited Doppler Velocity Log Measurements
by: Cohen, Nadav, et al.
Published: (2024)

Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification
by: B, Aravind, et al.
Published: (2026)

Meta-learning to Address Data Shift in Time Series Classification
by: Myren, Samuel, et al.
Published: (2026)

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames
by: Li, Haorui, et al.
Published: (2025)

Gaussian Process Regression for Improved Underwater Navigation
by: Cohen, Nadav, et al.
Published: (2025)

On Neural Inertial Classification Networks for Pedestrian Activity Recognition
by: Yampolsky, Zeev, et al.
Published: (2025)

Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models
by: Chen, Feng, et al.
Published: (2025)

Gradient-Free Training of Quantized Neural Networks
by: Cohen, Noa, et al.
Published: (2024)

Data-Driven Ground-Fault Location Method in Distribution Power System With Distributed Generation
by: Caporuscio, Mauro, et al.
Published: (2024)

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)

iMoT: Inertial Motion Transformer for Inertial Navigation
by: Nguyen, Son Minh, et al.
Published: (2024)

Human Activity Recognition using Smartphones
by: Sonawane, Mayur, et al.
Published: (2024)

Bandits with Single-Peaked Preferences and Limited Resources
by: Ben-Porat, Omer, et al.
Published: (2025)

VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI
by: Kazoom, Roie, et al.
Published: (2025)

AI Planning Framework for LLM-Based Web Agents
by: Shahnovsky, Orit, et al.
Published: (2026)

Pedestrian Inertial Navigation: An Overview of Model and Data-Driven Approaches
by: Klein, Itzik
Published: (2024)

A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula
by: Sancaktar, Cansu, et al.
Published: (2026)

Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints
by: Guo, Lei, et al.
Published: (2024)

QuAIL: Quality-Aware Inertial Learning for Robust Training under Data Corruption
by: Sabella, Mattia, et al.
Published: (2026)

DVL Calibration using Data-driven Methods
by: Yampolsky, Zeev, et al.
Published: (2024)

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2025)

The Real Price of Bandit Information in Multiclass Classification
by: Erez, Liad, et al.
Published: (2024)

Fast Rates for Bandit PAC Multiclass Classification
by: Erez, Liad, et al.
Published: (2024)

Generative Data Mining with Longtail-Guided Diffusion
by: Hayden, David S., et al.
Published: (2025)

Tabular Data Generation using Binary Diffusion
by: Kinakh, Vitaliy, et al.
Published: (2024)

DAILOC: Domain-Incremental Learning for Indoor Localization using Smartphones
by: Singampalli, Akhil, et al.
Published: (2025)

Proactive Depot Discovery: A Generative Framework for Flexible Location-Routing
by: Qu, Site, et al.
Published: (2025)