Key papers

• Perturbations and Phase Transitions in Swarm Optimization Algorithms (2025)
  Tom\'a\v{s} Vantuch et al.
  5.65
• DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design (2025)
  Weizheng Zhang et al.
  5.29
• Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications (2024)
  Youngkyu Lee and Alena Kopani\v{c}\'akov\'a and George Em Karniadakis
  5.15
• Level-Crossing Density as a Mesh-Free High-Frequency Auxiliary Loss for Implicit Neural Representations (2026)
  Gunner Levi Howe
  4.39
• Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning (2026)
  Yao Fu et al.
  4.39
• Quantitative Gaussian-Process limits of Tensor Programs (2026)
  Andrea Agazzi et al.
  4.39
• Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design (2026)
  Wenhao Fan et al.
  4.39
• Geometric mean-based pairwise comparison method with the reference values -- statistical approach (2026)
  Konrad Ku{\l}akowski et al.
  4.39
• Variance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space (2026)
  Baran Koseoglu et al.
  4.39
• Directional Influence Function: Estimating Training Data Influence in Constrained Learning (2026)
  Xin Wang (Jeff) et al.
  4.39
• Distributed Convolutional Rank Regression over Decentralized Networks (2026)
  Chunjing Li et al.
  4.39
• Monotonic Kolmogorov-Arnold Networks: A Theoretical and Empirical Study of Monotonicity as an Inductive Bias (2026)
  Mikhail Krasnov et al.
  4.33
• Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems (2025)
  Michele Minervini et al.
  3.92
• Finding a stationary point of a stochastic convex problem (2026)
  Felipe Areces et al.
  3.51
• A Deep Reinforcement Learning Algorithm for the Vehicle Routing Problem with Stochastic Demands and Outsourcing (2026)
  Mohsen Dastpak et al.
  3.51
• Real-time optimal control with shallow recurrent decoder networks (2026)
  Matteo Tomasetto et al.
  3.51
• Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair (2025)
  Stavros C. Kassinos
  2.99
• Deep Uzawa for Kinetic Transport with Lagrange-Enforced Boundaries (2025)
  Charalambos Makridakis and Aaron Pim and Tristan Pryer and Nikolaos Rekatsinas
  2.93
• Dimer-Enhanced Optimization: A First-Order Approach to Escaping Saddle Points in Neural Network Training (2025)
  Yue Hu and Zanxia Cao and Yingchao Liu
  2.93
• Reconstructing Physics-Informed Machine Learning for Traffic Flow Modeling: a Multi-Gradient Descent and Pareto Learning Approach (2025)
  Yuan-Zheng Lei et al.
  2.82
• Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel (2023)
  Moaad Khamlich and Federico Pichi and Gianluigi Rozza
  2.64
• A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations (2024)
  Shu Liu et al.
  2.45
• A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms (2025)
  Gil Goldshlager et al.
  2.45
• Evaluating probabilistic and data-driven inference models for fiber-coupled NV-diamond temperature sensors (2024)
  Shraddha Rajpal and Zeeshan Ahmed and Tyrus Berry
  2.43
• Latent Guided Sampling for Combinatorial Optimization (2025)
  Sobihan Surendran (LPSM) et al.
  2.34
• Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition (2022)
  Ching-pei Lee et al.
  2.26
• Stronger Memory-Query Tradeoffs for Convex Optimization: The Limitations of Subquadratic Memory (2026)
  Michael Menart et al.
  2.00
• Amortising Trajectory Optimisation for Residual MPC via Implicit Contact Differentiation (2026)
  Daniel Layeghi et al.
  2.00
• Generative Distributionally Robust Optimization (2026)
  Ziwei Zhang et al.
  2.00
• A Tuning-Free Variational Framework for Muscle Redundancy Resolution: Torque Fiber Proximal Dynamics with Active-Set Switching and EMG-Validated Activation Prediction (2026)
  Morteza Ganji
  2.00
• A Riemannian View on Active Subspaces (2026)
  Zachary Grey
  2.00
• Lloyd's $K$-Means Clustering Algorithm Is Frank-Wolfe in Disguise (2026)
  Michael Pokojovy et al.
  2.00
• Algorithmic Separation between Constant-Depth and Logarithmic-Depth Neural Networks (2026)
  Yunwei Ren et al.
  2.00
• Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning (2026)
  Yuan Zhang et al.
  2.00
• Guiding Posterior Exploration with Optimizer-Derived Geometry (2026)
  Moritz Schlager et al.
  2.00
• Balancing multiscale similarity and cartographic constraints: A similarity-driven optimization framework for line generalization (2026)
  Pengbo Li et al.
  2.00
• Data-Dependent Regret and Polyak Corrections for Constrained Online Convex Optimization (2026)
  Wentao Zhang
  2.00
• Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise (2026)
  Bin Luo et al.
  2.00
• Automated Numerical Stability Analysis of Deep Learning Operators (2026)
  Xinye Chen
  2.00
• Quotient Dynamics, Effective Curvature, and Implicit Bias in Positive Quadratic Networks (2026)
  Pengcheng Cheng
  2.00
• Optimization with Dynamic Constraint Learning (DCL) (2026)
  Ezgi Oztekin et al.
  2.00
• Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization (2026)
  Zhaojun Peng
  2.00
• Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling (2026)
  Itai Zilberstein et al.
  2.00
• Sharpness-Aware Minimization and Muon: Robustness under the Spectral Norm (2026)
  Wenzhi Zhong et al.
  2.00
• StableGrad: Backward Scale Control without Batch Normalization (2026)
  Jose I. Mestre et al.
  1.94
• Learning Orthonormal Bases for Function Spaces (2026)
  Hamidreza Kamkari et al.
  1.94
• Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems (2026)
  Frithjof Gressmann et al.
  1.78
• Clifford Kolmogorov-Arnold Networks (2026)
  Matthias Wolff et al.
  1.72
• Distribution-Free Robust Predict-Then-Optimize in Function Spaces (2026)
  Yash Patel et al.
  1.72
• Convex Analysis of Relaxation Dynamics in Chemical Reaction Networks and Generalized Gradient Flows (2026)
  Keisuke Sugie et al.
  1.72
• Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,\lambda}$ Targets (2026)
  Yanming Lai et al.
  1.72
• HeatACO: A Heatmap-Guided Max--Min Ant System for Large-Scale Travelling Salesman Problems (2026)
  Bo-Cheng Lin et al.
  1.67
• No-Rank Tensor Decomposition Using Metric Learning (2025)
  Maryam Bagherian
  1.56
• A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints (2025)
  Lei Wang et al.
  1.56
• AMStraMGRAM: Adaptive Multi-cutoff Strategy Modification for ANaGRAM (2025)
  Nilo Schwencke (LISN et al.
  1.50
• Initialization Schemes for Kolmogorov-Arnold Networks: An Empirical Study (2025)
  Spyros Rigas et al.
  1.44
• Cryo-EM as a Stochastic Inverse Problem (2025)
  Diego Sanchez Espinosa et al.
  1.44
• Functional Neural Wavefunction Optimization (2025)
  Victor Armegioiu et al.
  1.33
• A Dual Basis Approach for Structured Robust Euclidean Distance Geometry (2025)
  Chandra Kundu et al.
  1.22
• On the Convergence Analysis of Muon (2025)
  Wei Shen et al.
  1.22