Cover Image

The Kalman Evolve: Closing the Gap in Kalman Filtering via Interpretable Algorithm Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saketos, Vasileios, Xiao, Ming
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
by: Jin, Seonghyun, et al.
Published: (2026)

Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
by: Saketos, Vasileios, et al.
Published: (2025)

An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter
by: Eckert, Dominik, et al.
Published: (2024)

VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter Integration
by: Chen, Jian-Yu, et al.
Published: (2025)

Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data
by: Stippel, Christian, et al.
Published: (2024)

CF-CAM: Cluster Filter Class Activation Mapping for Reliable Gradient-Based Interpretability
by: He, Hongjie, et al.
Published: (2025)

Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
by: Asthana, Rohan, et al.
Published: (2026)

LangGap: Diagnosing and Closing the Language Gap in Vision-Language-Action Models
by: Hou, Yuchen, et al.
Published: (2026)

Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation
by: Li, Wenhao, et al.
Published: (2025)

Test-Time Discovery via Hashing Memory
by: Lyu, Fan, et al.
Published: (2025)

Financial Fraud Identification and Interpretability Study for Listed Companies Based on Convolutional Neural Network
by: Li, Xiao
Published: (2025)

UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
by: Lin, Zichuan, et al.
Published: (2026)

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
by: Davtyan, Aram, et al.
Published: (2021)

Multi-Class Unlearning for Image Classification via Weight Filtering
by: Poppi, Samuele, et al.
Published: (2023)

Concept-Guided Interpretability via Neural Chunking
by: Wu, Shuchen, et al.
Published: (2025)

Closing the Modality Gap for Mixed Modality Search
by: Li, Binxu, et al.
Published: (2025)

Evolving Skeletons: Motion Dynamics in Action Recognition
by: Qiu, Jushang, et al.
Published: (2025)

Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
by: Mistretta, Marco, et al.
Published: (2025)

Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
by: Olesen, Vincent, et al.
Published: (2024)

Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation
by: Sevetlidis, Vasileios, et al.
Published: (2023)

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
by: Rao, Sukrut, et al.
Published: (2024)

ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition
by: Lin, Shen, et al.
Published: (2026)

GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
by: Wang, Enguang, et al.
Published: (2024)

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
by: Hong, Kiseong, et al.
Published: (2025)

DeepKalPose: An Enhanced Deep-Learning Kalman Filter for Temporally Consistent Monocular Vehicle Pose Estimation
by: Di Bella, Leandro, et al.
Published: (2024)

Interpretable Unsupervised Deformable Image Registration via Confidence-bound Multi-Hop Visual Reasoning
by: Iqbal, Zafar, et al.
Published: (2026)

Understanding Video Transformers via Universal Concept Discovery
by: Kowal, Matthew, et al.
Published: (2024)

Robust and Explainable Bicuspid Aortic Valve Diagnosis Using Stacked Ensembles on Echocardiography
by: Nikolaidis, Christos Chrysanthos, et al.
Published: (2026)

VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection
by: Wang, Qiang, et al.
Published: (2025)

KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation
by: Zhao, Zhihao, et al.
Published: (2024)

MACD: Model-Aware Contrastive Decoding via Counterfactual Data
by: Xiao, Qixin
Published: (2026)

Unlearning-based Neural Interpretations
by: Choi, Ching Lam, et al.
Published: (2024)

Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning
by: Yaras, Can, et al.
Published: (2024)

Defect detection using weakly supervised learning
by: Sevetlidis, Vasileios, et al.
Published: (2023)

T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers
by: Ntrougkas, Mariano V., et al.
Published: (2024)

Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
by: Nuggehalli, Shyam, et al.
Published: (2023)

Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
by: Fanì, Eros, et al.
Published: (2024)

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
by: Wan, Xinhang, et al.
Published: (2023)

Improving Interpretation Faithfulness for Vision Transformers
by: Hu, Lijie, et al.
Published: (2023)

Interpreting CLIP with Hierarchical Sparse Autoencoders
by: Zaigrajew, Vladimir, et al.
Published: (2025)