{"total":161,"rows":[{"id":"2104.12225","title":"DC3: A learning method for optimization with hard constraints","created":"2021-04-25","cited_by_count":184,"area":null},{"id":"2202.00665","title":"Tutorial on amortized optimization","created":"2022-02-01","cited_by_count":83,"area":null},{"id":"2110.06192","title":"Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes","created":"2021-10-12","cited_by_count":71,"area":null},{"id":"2407.08735","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","created":"2024-07-11","cited_by_count":68,"area":null},{"id":"2208.09046","title":"Self-Supervised Primal-Dual Learning for Constrained Optimization","created":"2022-08-18","cited_by_count":61,"area":null},{"id":"2309.07835","title":"Learning to Warm-Start Fixed-Point Optimization Algorithms","created":"2023-09-14","cited_by_count":32,"area":null},{"id":"2107.10847","title":"Accelerating Quadratic Optimization with Reinforcement Learning","created":"2021-07-22","cited_by_count":30,"area":null},{"id":"2103.02828","title":"STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation","created":"2021-03-04","cited_by_count":27,"area":null},{"id":"2403.18765","title":"CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning","created":"2024-03-27","cited_by_count":23,"area":"deeprl"},{"id":"2210.01802","title":"Alternating Differentiation for Optimization Layers","created":"2022-10-03","cited_by_count":22,"area":null},{"id":"2106.09435","title":"Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers","created":"2021-06-17","cited_by_count":21,"area":null},{"id":"2110.03270","title":"Injecting Planning-Awareness into Prediction and Detection Evaluation","created":"2021-10-07","cited_by_count":21,"area":null},{"id":"2506.00362","title":"FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees","created":"2025-05-31","cited_by_count":21,"area":null},{"id":"2103.09924","title":"SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points","created":"2021-03-17","cited_by_count":20,"area":null},{"id":"2112.07464","title":"Efficient differentiable quadratic programming layers: an ADMM approach","created":"2021-12-14","cited_by_count":19,"area":null},{"id":"2508.10480","title":"Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers","created":"2025-08-14","cited_by_count":19,"area":null},{"id":"2305.16368","title":"Neural incomplete factorization: learning preconditioners for the conjugate gradient method","created":"2023-05-25","cited_by_count":18,"area":null},{"id":"2211.11665","title":"Representational dissimilarity metric spaces for stochastic neural networks","created":"2022-11-21","cited_by_count":17,"area":null},{"id":"2206.06135","title":"Flexible Differentiable Optimization via Model Transformations","created":"2022-06-10","cited_by_count":16,"area":null},{"id":"2406.05938","title":"Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs","created":"2024-06-09","cited_by_count":16,"area":null},{"id":"2312.05873","title":"Learning for CasADi: Data-driven Models in Numerical Optimization","created":"2023-12-10","cited_by_count":15,"area":null},{"id":"2404.09080","title":"Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications","created":"2024-04-13","cited_by_count":15,"area":"deeprl"},{"id":"2307.10459","title":"A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints","created":"2023-07-19","cited_by_count":12,"area":null},{"id":"2401.03244","title":"Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process","created":"2024-01-06","cited_by_count":11,"area":null},{"id":"2410.06324","title":"Differentiation Through Black-Box Quadratic Programming Solvers","created":"2024-10-08","cited_by_count":10,"area":null},{"id":"2411.19285","title":"BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning","created":"2024-11-28","cited_by_count":10,"area":null},{"id":"2505.13858","title":"Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules","created":"2025-05-20","cited_by_count":10,"area":null},{"id":"2106.04384","title":"FL-Market: Trading Private Models in Federated Learning","created":"2021-06-08","cited_by_count":9,"area":null},{"id":"2110.11738","title":"A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation","created":"2021-10-22","cited_by_count":9,"area":null},{"id":"2302.07071","title":"Statistically Optimal Force Aggregation for Coarse-Graining Molecular Dynamics","created":"2023-02-14","cited_by_count":9,"area":null},{"id":"2502.00407","title":"Causal Abstraction Learning based on the Semantic Embedding Principle","created":"2025-02-01","cited_by_count":9,"area":null},{"id":"2202.04104","title":"Teaching Networks to Solve Optimization Problems","created":"2022-02-08","cited_by_count":7,"area":null},{"id":"2206.10586","title":"D-CIPHER: Discovery of Closed-form Partial Differential Equations","created":"2022-06-21","cited_by_count":7,"area":null},{"id":"2210.00973","title":"NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning","created":"2022-10-03","cited_by_count":7,"area":null},{"id":"2211.12443","title":"Learning context-aware adaptive solvers to accelerate quadratic programming","created":"2022-11-22","cited_by_count":7,"area":null},{"id":"2412.09734","title":"MPAX: Mathematical Programming in JAX","created":"2024-12-12","cited_by_count":7,"area":null},{"id":"2510.06179","title":"Differentiable Model Predictive Control on the GPU","created":"2025-10-07","cited_by_count":7,"area":"deeprl"},{"id":"2604.07644","title":"Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU","created":"2026-04-08","cited_by_count":7,"area":null},{"id":"2210.02159","title":"Differentiable Mathematical Programming for Object-Centric Representation Learning","created":"2022-10-05","cited_by_count":6,"area":null},{"id":"2303.13401","title":"Optimization and Optimizers for Adversarial Robustness","created":"2023-03-23","cited_by_count":6,"area":null},{"id":"2310.00260","title":"On Sinkhorn's Algorithm and Choice Modeling","created":"2023-09-30","cited_by_count":6,"area":null},{"id":"2408.09662","title":"CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control","created":"2024-08-19","cited_by_count":6,"area":"deeprl"},{"id":"2504.16275","title":"Quantum Doubly Stochastic Transformers","created":"2025-04-22","cited_by_count":6,"area":null},{"id":"2505.01353","title":"Differentiable Nonlinear Model Predictive Control","created":"2025-05-02","cited_by_count":6,"area":null},{"id":"2111.13984","title":"NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning","created":"2021-11-27","cited_by_count":5,"area":null},{"id":"2203.16340","title":"Optimization for Classical Machine Learning Problems on the GPU","created":"2022-03-30","cited_by_count":5,"area":null},{"id":"2308.08232","title":"SCQPTH: an efficient differentiable splitting method for convex quadratic programming","created":"2023-08-16","cited_by_count":5,"area":null},{"id":"2404.13831","title":"Data-Driven Performance Guarantees for Classical and Learned Optimizers","created":"2024-04-22","cited_by_count":5,"area":null},{"id":"2405.00282","title":"MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games","created":"2024-05-01","cited_by_count":5,"area":"deeprl"},{"id":"2203.01447","title":"Learning Stochastic Parametric Differentiable Predictive Control Policies","created":"2022-03-02","cited_by_count":4,"area":null},{"id":"2212.12923","title":"Linear Combinatorial Semi-Bandit with Causally Related Rewards","created":"2022-12-25","cited_by_count":4,"area":null},{"id":"2302.10571","title":"SurvLIMEpy: A Python package implementing SurvLIME","created":"2023-02-21","cited_by_count":4,"area":null},{"id":"2403.04934","title":"LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping","created":"2024-03-07","cited_by_count":4,"area":null},{"id":"2409.08066","title":"Self-Supervised Learning of Iterative Solvers for Constrained Optimization","created":"2024-09-12","cited_by_count":4,"area":null},{"id":"2410.03720","title":"NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale QCQPs","created":"2024-09-28","cited_by_count":4,"area":null},{"id":"2411.01088","title":"CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks","created":"2024-11-02","cited_by_count":4,"area":null},{"id":"2502.02446","title":"Towards graph neural networks for provably solving convex optimization problems","created":"2025-02-04","cited_by_count":4,"area":null},{"id":"2505.05588","title":"Deep Learning Warm Starts for Trajectory Optimization on the International Space Station","created":"2025-05-08","cited_by_count":4,"area":null},{"id":"2512.01565","title":"Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding","created":"2025-12-01","cited_by_count":4,"area":null},{"id":"2605.01361","title":"Decision-Focused Learning via Tangent-Space Projection of Prediction Error","created":"2026-05-02","cited_by_count":4,"area":null},{"id":"2606.09749","title":"Your Model Already Knows: Attention-Guided Safety Filter for Vision-Language-Action Models","created":"2026-06-08","cited_by_count":4,"area":"vla"},{"id":"2105.00581","title":"Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population","created":"2021-05-03","cited_by_count":3,"area":null},{"id":"2202.02649","title":"The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks","created":"2022-02-05","cited_by_count":3,"area":null},{"id":"2202.10658","title":"Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM","created":"2022-02-22","cited_by_count":3,"area":null},{"id":"2312.05332","title":"MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control","created":"2023-12-08","cited_by_count":3,"area":null},{"id":"2402.17890","title":"From Inverse Optimization to Feasibility to ERM","created":"2024-02-27","cited_by_count":3,"area":null},{"id":"2410.07409","title":"Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions","created":"2024-10-09","cited_by_count":3,"area":null},{"id":"2411.00107","title":"First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling","created":"2024-10-31","cited_by_count":3,"area":null},{"id":"2412.01051","title":"An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2510.12717","title":"Residual MPC: Blending Reinforcement Learning with GPU-Parallelized Model Predictive Control","created":"2025-10-14","cited_by_count":3,"area":"deeprl"},{"id":"2512.02494","title":"A Fully First-Order Layer for Differentiable Optimization","created":"2025-12-02","cited_by_count":3,"area":null},{"id":"2604.24894","title":"VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis","created":"2026-04-27","cited_by_count":3,"area":null},{"id":"2606.05687","title":"Accelerating and Scaling MPC-Guided Reinforcement Learning for Humanoid Locomotion and Manipulation","created":"2026-06-04","cited_by_count":3,"area":"deeprl"},{"id":"2306.06674","title":"Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization","created":"2023-06-11","cited_by_count":2,"area":null},{"id":"2311.17128","title":"Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks","created":"2023-11-28","cited_by_count":2,"area":null},{"id":"2409.16407","title":"Towards Representation Learning for Weighting Problems in Design-Based Causal Inference","created":"2024-09-24","cited_by_count":2,"area":null},{"id":"2411.09847","title":"Towards a Fairer Non-negative Matrix Factorization","created":"2024-11-14","cited_by_count":2,"area":null},{"id":"2510.11227","title":"Enforcing convex constraints in Graph Neural Networks","created":"2025-10-13","cited_by_count":2,"area":null},{"id":"2510.21598","title":"Fisher meets Feynman: score-based variational inference with a product of experts","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2511.01813","title":"Disciplined Biconvex Programming","created":"2025-11-03","cited_by_count":2,"area":null},{"id":"2602.07984","title":"Analyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control","created":"2026-02-08","cited_by_count":2,"area":"driving"},{"id":"2606.13825","title":"Scalable Deep Unfolding of Conic Optimizers","created":"2026-06-11","cited_by_count":2,"area":null},{"id":"2606.24039","title":"TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU","created":"2026-06-23","cited_by_count":2,"area":null},{"id":"2301.01405","title":"Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach","created":"2023-01-04","cited_by_count":1,"area":null},{"id":"2304.12004","title":"Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm","created":"2023-04-24","cited_by_count":1,"area":null},{"id":"2306.15079","title":"A direct optimization algorithm for input-constrained MPC","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2311.00568","title":"Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes","created":"2023-11-01","cited_by_count":1,"area":null},{"id":"2312.10618","title":"Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines","created":"2023-12-17","cited_by_count":1,"area":null},{"id":"2402.09233","title":"Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2403.16075","title":"IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History","created":"2024-03-24","cited_by_count":1,"area":"offlinerl"},{"id":"2405.02968","title":"CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning","created":"2024-05-05","cited_by_count":1,"area":null},{"id":"2406.03652","title":"Ensembling Portfolio Strategies for Long-Term Investments: A Distribution-Free Preference Framework for Decision-Making and Algorithms","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2408.05393","title":"fastkqr: A Fast Algorithm for Kernel Quantile Regression","created":"2024-08-10","cited_by_count":1,"area":null},{"id":"2412.00445","title":"Two Models for Surface Segmentation using the Total Variation of the Normal Vector","created":"2024-11-30","cited_by_count":1,"area":null},{"id":"2502.02984","title":"Learning Efficient Flocking Control based on Gibbs Random Fields","created":"2025-02-05","cited_by_count":1,"area":null},{"id":"2503.20328","title":"Euclidean Distance to Convex Polyhedra and Application to Class Representation in Spectral Images","created":"2025-03-26","cited_by_count":1,"area":null},{"id":"2507.21164","title":"OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2509.03839","title":"Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics","created":"2025-09-04","cited_by_count":1,"area":null},{"id":"2509.19869","title":"Modeling and Control of Deep Sign-Definite Dynamics with Application to Hybrid Powertrain Control","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2511.10852","title":"Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control","created":"2025-11-13","cited_by_count":1,"area":null}],"next_cursor":"100"}