Shape Optimization

Momentum

6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 44

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  1. Isotropic Gaussian Processes Improve Vanilla Bayesian Optimization in High Dimensions

    Oct 5, 2026Wei-Ting Tang, Madhav Muthyala, Joel A. PaulsonGaussian ProcessHigh-Dimensional

  2. Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design

    Sep 29, 2026Mahish K. Guru, Mayank Nagar, Ayush vyas +3Generative Inverse DesignInverse Design

  3. KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators

    Sep 23, 2026Shengyu Yan, Jasmin JelovicaTopology OptimizationFourier Neural Operators

  4. Geometry of learning dynamics: Gradient descent versus natural gradient on the ridge of optimization

    Sep 15, 2026Akira TamamoriGradient DescentShape Optimization

  5. HGTO: A Unified Graph-Based Physics-Informed Formulation for Structural Topology Optimization

    Sep 14, 2026Kangzheng Liu, Uday Kumar Punna, Leixin MaTopology OptimizationFinite Element Method

  6. Optimizing Geoengineering Interventions Using Differentiable Climate Models

    Sep 14, 2026Pulkit Dubey, Dorian S. Abbot, Ashesh ChattopadhyayGlobal Climate ModelsClimate

  7. Language-Augmented Semantic Priors for B-Spline Surface Fitting

    Sep 12, 2026Yunzhong Lou, Yusheng Luo, Jiahao Li +2SplinesShape Optimization

  8. No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels

    Sep 2, 2026Edvin Ketabati Augustinsson, Robert A. BridgesBayesian OptimizationGaussian Process

  9. Direct Optimization of a 3D Finite-Source Reflector via Neural-Network Parameterization

    Sep 1, 2026Roel Hacking, Lisa Kusch, Martijn Anthonissen +1Raymap-Induced GeometryShape Optimization

  10. Guiding Posterior Exploration with Optimizer-Derived Geometry

    Jul 28, 2026Moritz Schlager, Emanuel Sommer, Thomas Möllenhoff +1Adaptive SamplingBayesian Neural Networks

  11. Trajectory-Aware Flow Matching for Topology Optimisation

    Jul 16, 2026Shusheng Xiao, Jinshuai Bai, Hyogu Jeong +3Topology OptimizationConditional Flow Matching

  12. Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design

    Jul 7, 2026Wenhao Fan, Yuanwei Bin, Jianghan Gu +4Shape OptimizationAerodynamics

  13. Random Walk on Bézier Curves for Global Optimization

    Jun 25, 2026Jinpeng Wang, Xingguo Xu, Yujing Sun +3MetaheuristicsShape Optimization

  14. eCNNTO: A Highly Generalizable ConvNet for Accelerating Topology Optimization

    Jun 18, 2026Shengbiao Lu, Xiaodong WeiTopology OptimizationFinite Element Method

  15. Beyond IGO-Flow: Toward Convergence Analysis of IGO in Continuous Spaces

    Jun 16, 2026Ryosuke Kimura, Youhei AkimotoShape OptimizationCovariance

  16. Differentiable Packing of Irregular 3D Objects with Adaptive Container Estimation

    Jun 15, 2026Palak Gupta, Shanmuganathan RamanDifferentiable PhysicsBounding Box

  17. Mixed-Categorical Black-Box Optimization via Information-Geometric Bilevel Decomposition

    Jun 11, 2026Marc Ong, Shinichi Shirakawa, Youhei AkimotoBilevel OptimizationBlack-Box Optimization

  18. Gradient based Bilevel for Inverse Optimal Control, a Riemannian approach

    Jun 9, 2026Ahmed-Manaf Dahmani, Vincent Bonnet, David Daney +1Optimal ControlShape Optimization

  19. Non-Archimedean Polydisc Spaces and Applications to Optimisation

    Jun 5, 2026Paul Lezeau, Yiannis Fam, Anthea Monod +1Metric SpacesShape Optimization

  20. SAM3D-Phys: Towards Multi-Object Interactive Simulation in Real World

    May 28, 2026Xin Dong, Weijian Deng, Lihan Zhang +3Real-WorldShape Optimization

  21. Information-Geometric Optimization on Spheres

    May 27, 2026Vladimir Ja\' cimovićShape OptimizationSphere

  22. HORST: Composing Optimizer Geometries for Sparse Transformer Training

    May 20, 2026Tom Jacobs, Rohan Jain, Rebekka BurkholzSparsityTransformer Architectures

  23. ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization

    May 20, 2026Shaghayegh Fazliani, Krissh Chawla, Jack Guo +3AerodynamicsShape Optimization

  24. Local Inverse Geometry Can Be Amortized

    May 13, 2026Aaditya L. KachhadiyaBayesian Inverse ProblemsSolver Iterations

  25. NoRIN: Backbone-Adaptive Reversible Normalization for Time-Series Forecasting

    May 11, 2026Shun Zhang, Yuyang XiaoBatch NormalizationNormalization

  26. Towards Scalable Persistence-Based Topological Optimization

    May 9, 2026Abderrahim Bendahi, Alexandre Duplessis, Arnaud FickingerTopology OptimizationPersistent Homology

  27. Geometry-Aware Neural Optimizer for Shape Optimization and Inversion

    May 6, 2026Guoze Sun, Tianya Miao, Haoyang Huang +4Shape OptimizationGeometry-Aware

  28. Parametrizing Convex Sets Using Sublinear Neural Networks

    May 5, 2026Eloi MartinetConvex SetsNeural Approximations

  29. Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications

    May 4, 2026Sofianos Panagiotis Fotias, Vassilis GaganisBayesian OptimizationGaussian Process

  30. Differentiable Multiphysics Co-Optimization via Implicit Neural Representations: A Transient Hamburger-Cooking Benchmark

    May 1, 2026Navid ZobeiryShape OptimizationTime Discretization

  31. Information-Theoretic Geometry Optimization and Physics-Aware Learning for Calibration-Free Magnetic Localization

    Apr 24, 2026Wenxuan Xie, Yuelin Zhang, Qingpeng Ding +4Optimal Sensor PlacementIndoor Localization

  32. Neural Adjoint Method for Meta-optics: Accelerating Volumetric Inverse Design via Fourier Neural Operators

    Apr 19, 2026Chanik Kang, Hyewon Suk, Haejun ChungGenerative Inverse DesignFourier Neural Operators

  33. Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks

    Apr 16, 2026Kang An, Chenhao Si, Shiqian Ma +1Parametric Physics-Informed Neural NetworkCurvature-Aware Spectral Framework

  34. Neural parametric representations for thin-shell shape optimisation

    Apr 8, 2026Xiao Xiao, Fehmi CirakShape OptimizationNeural Network Representations

  35. The Geometry of Efficient Nonconvex Sampling

    Mar 26, 2026Santosh S. Vempala, Andre WibisonoLog-Concave DistributionsOptimal Sample Complexity

  36. Adjoint-based shape optimization of a ship hull using a Conditional Variational Autoencoder (CVAE) assisted propulsion surrogate model

    Feb 16, 2026Moloud Arian Maram, Georgios Bletsos, Thanh Tung Nguyen +3VesselsSurrogate Models

  37. Geometrically Principled Randomized Optimization for Efficient LLM Training

    Oct 2, 2025Sahar Rajabi, Nayeema Nonta, Sirisha RambhatlaLow-Rank StructureLarge Language Model Training

  38. HERB: Human-augmented Efficient Reinforcement learning for Bin-packing

    Apr 23, 2025Gojko Perovic, Nuno Ferreira Duarte, Atabak Dehban +3Scalable Robot LearningOffline Reinforcement Learning

  39. GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing

    Jun 9, 2024Tianyang Xue, Lin Lu, Yang Liu +5Shape Optimization