Latest Research in Optimization and Control

Top Research Topics in Optimization and Control

• Machine Learning — 7 papers
• Computer Vision and Pattern Recognition — 5 papers
• Optimization and Control — 2 papers
• Artificial Intelligence — 2 papers
• Machine Learning — 2 papers
• Personal Information Management and User Behavior — 1 papers
• Advanced Neural Network Applications — 1 papers
• Multimedia — 1 papers
• Social and Information Networks — 1 papers
• Advanced Data Compression Techniques — 1 papers

Highest-Cited Papers

1. Stop-and-Go Distractions: Measuring the Effects of Fragmented Inputs on Recurrent Networks
2. The Evolution of Vision Transformers: A Multi‐Dimensional Analysis of Architectural Innovation and Application Domains
3. Gauss-Newton drifting extends natural gradient descent
4. CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery
5. Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints
6. Particle GFlowNets: Rethinking Generative Marginalization Models
7. Certified Topological Interaction in Neural Representations: Class Disentanglement Is Mostly Pairwise
8. Block-Wise Differentiable Sinkhorn Attention: Tail-Refinement Gradients with a Gap-Aware Dustbin Bridge
9. Mind the Approximation: Fisher-Weighted SVD Compression for ViTs
10. When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood?
11. DDPM Score Matching and Distribution Learning
12. Learning Parametric Monotone Games
13. Can LLMs Design Video Coding Tools? A Case Study on Planar Mode
14. On the Reliability of Generative Augmentation: A Wasserstein-Based Theoretical and Empirical Study
15. The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning
16. The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence
17. Algorithmic Simplification for Million-Vertex Diffusion History Reconstruction
18. Parameter Efficient Continual Learning for Sparse Event-Based Transformers
19. Complexity Induction: Compositional Generalization via Structured Training Distortion
20. CrossMambaTuning: Synergistic Spatial and Cross-Layer Adaptation for Machine Vision Compression