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Mathematics & Optimization
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Optimization
1203 directly classified papers
Papers per year
2001: 1
2005: 1
2006: 8
2007: 5
2008: 3
2009: 6
2010: 5
2011: 17
2012: 24
2013: 52
2014: 41
2015: 36
2016: 36
2017: 47
2018: 72
2019: 76
2020: 106
2021: 120
2022: 126
2023: 128
2024: 203
2025: 88
2026: 2
Papers
Decoupling Training-Free Guided Diffusion by ADMM
CVPR 2025
A SAT-based Method for Counting All Singleton Attractors in Boolean Networks
IJCAI 2025
An Efficient Core-Guided Solver for Weighted Partial MaxSAT
IJCAI 2025
Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery
ICCV 2025
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
ICCV 2025
PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations
ICCV 2025
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
ICCV 2025
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
IJCAI 2025
Free-running vs Synchronous: Single-Photon Lidar for High-flux 3D Imaging
ICCV 2025
ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
ICCV 2025
Fast Globally Optimal and Geometrically Consistent 3D Shape Matching
ICCV 2025
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
AAAI 2025
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression
AAAI 2025
On the Convergence of Tâtonnement for Linear Fisher Markets
AAAI 2025
Scalable Knowledge Refactoring Using Constrained Optimisation
AAAI 2025
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
Constrained Binary Decision Making
NIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
NIPS 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
NIPS 2024
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
NIPS 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
NIPS 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
NIPS 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
NIPS 2024
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem
NIPS 2024
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