Cover Image

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Davtyan, Aram, Sameni, Sepehr, Cerkezi, Llukman, Meishvilli, Givi, Bielski, Adam, Favaro, Paolo
Format:	Preprint
Published:	2021
Subjects:	Machine Learning Computer Vision and Pattern Recognition Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
by: Xia, Zixuan, et al.
Published: (2025)

Sparse 3D Reconstruction via Object-Centric Ray Sampling
by: Cerkezi, Llukman, et al.
Published: (2023)

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
by: Davtyan, Aram, et al.
Published: (2024)

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
by: Davtyan, Aram, et al.
Published: (2023)

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
by: Davtyan, Aram, et al.
Published: (2026)

Conjugate-Gradient-like Based Adaptive Moment Estimation Optimization Algorithm for Deep Learning
by: Tian, Jiawu, et al.
Published: (2024)

Learning Spatially Adaptive $\ell_1$-Norms Weights for Convolutional Synthesis Regularization
by: Kofler, Andreas, et al.
Published: (2025)

Interpreting and Improving Diffusion Models from an Optimization Perspective
by: Permenter, Frank, et al.
Published: (2023)

Memory-Efficient 4-bit Preconditioned Stochastic Optimization
by: Li, Jingyang, et al.
Published: (2024)

Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization
by: Fouladvand, Merham, et al.
Published: (2025)

Communication-Inspired Tokenization for Structured Image Representations
by: Davtyan, Aram, et al.
Published: (2026)

OCP-GN: A Scalable Second-order Optimizer for Stochastic Optimization
by: Zhong, Jindi, et al.
Published: (2025)

An Improved Optimal Proximal Gradient Algorithm for Non-Blind Image Deblurring
by: Wang, Qingsong, et al.
Published: (2025)

HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
by: Zhang, Shuchang, et al.
Published: (2024)

DualHash: A Stochastic Primal-Dual Algorithm with Theoretical Guarantee for Deep Hashing
by: Li, Luxuan, et al.
Published: (2025)

LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
by: Khodabandeh, Borna, et al.
Published: (2025)

EVODiff: Entropy-aware Variance Optimized Diffusion Inference
by: Li, Shigui, et al.
Published: (2025)

Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?
by: Xu, Zhoubo, et al.
Published: (2021)

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
by: Shumaylov, Zakhar, et al.
Published: (2024)

Dataset Distillation as Pushforward Optimal Quantization
by: Tan, Hong Ye, et al.
Published: (2025)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
by: Wang, Peng, et al.
Published: (2023)

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
by: Saadati, Nastaran, et al.
Published: (2024)

Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation
by: Vu, Thanh Trung, et al.
Published: (2025)

Constrained Diffusion Models via Dual Training
by: Khalafi, Shervin, et al.
Published: (2024)

Canonical Factors for Hybrid Neural Fields
by: Yi, Brent, et al.
Published: (2023)

3DGS$^2$-TR: Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting
by: Hsiao, Roger, et al.
Published: (2026)

Low Rank Support Quaternion Matrix Machine
by: Chen, Wang, et al.
Published: (2025)

Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
by: Wang, Lujia, et al.
Published: (2023)

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
by: Simões, Miguel, et al.
Published: (2021)

Real-Time Bundle Adjustment for Ultra-High-Resolution UAV Imagery Using Adaptive Patch-Based Feature Tracking
by: Iz, Selim Ahmet, et al.
Published: (2025)

MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
by: Mozaffari, Mohammad, et al.
Published: (2023)

RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
by: Tian, Yiqi, et al.
Published: (2025)

Dynamic Network Flow Optimization for Task Scheduling in PTZ Camera Surveillance Systems
by: Merati, Mohammad, et al.
Published: (2025)

Building Rome with Convex Optimization
by: Han, Haoyu, et al.
Published: (2025)

A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
by: Bian, Wanyu
Published: (2024)

Differential Evolution for Grassmann Manifold Optimization: A Projection Approach
by: Lesniewski, Andrew
Published: (2025)

Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation
by: Tudosie, Serban Cristian, et al.
Published: (2025)

Higher-Order Group Synchronization
by: Duncan, Adriana L., et al.
Published: (2025)

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis
by: Leeman, Antoine P., et al.
Published: (2026)