{"total":51,"rows":[{"id":"2303.13703","title":"End-to-End Diffusion Latent Optimization Improves Classifier Guidance","created":"2023-03-23","cited_by_count":108,"area":"diffusion"},{"id":"2201.11872","title":"Local Latent Space Bayesian Optimization over Structured Inputs","created":"2022-01-28","cited_by_count":79,"area":null},{"id":"2203.14500","title":"MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design","created":"2022-03-28","cited_by_count":66,"area":null},{"id":"2402.16359","title":"Feedback Efficient Online Fine-Tuning of Diffusion Models","created":"2024-02-26","cited_by_count":53,"area":"diffusion"},{"id":"2111.01186","title":"Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces","created":"2021-11-01","cited_by_count":45,"area":null},{"id":"2206.09010","title":"LIMO: Latent Inceptionism for Targeted Molecule Generation","created":"2022-06-17","cited_by_count":40,"area":null},{"id":"2109.05490","title":"HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation","created":"2021-09-12","cited_by_count":35,"area":null},{"id":"2304.00145","title":"Directional Connectivity-based Segmentation of Medical Images","created":"2023-03-31","cited_by_count":30,"area":null},{"id":"2405.19673","title":"Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models","created":"2024-05-30","cited_by_count":25,"area":"diffusion"},{"id":"2303.01774","title":"Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings","created":"2023-03-03","cited_by_count":24,"area":null},{"id":"2406.04739","title":"A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences","created":"2024-06-07","cited_by_count":23,"area":null},{"id":"2412.00205","title":"Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation","created":"2024-11-29","cited_by_count":20,"area":"diffusion"},{"id":"2504.14889","title":"Latent Bayesian Optimization via Autoregressive Normalizing Flows","created":"2025-04-21","cited_by_count":19,"area":null},{"id":"2310.20258","title":"Advancing Bayesian Optimization via Learning Correlated Latent Space","created":"2023-10-31","cited_by_count":18,"area":null},{"id":"2209.11748","title":"GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation","created":"2022-09-23","cited_by_count":16,"area":null},{"id":"2507.03910","title":"Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces","created":"2025-07-05","cited_by_count":14,"area":null},{"id":"2203.00526","title":"Multi-Objective Latent Space Optimization of Generative Molecular Design Models","created":"2022-03-01","cited_by_count":13,"area":null},{"id":"2109.09264","title":"Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection","created":"2021-09-20","cited_by_count":12,"area":null},{"id":"2312.04064","title":"DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design","created":"2023-12-07","cited_by_count":12,"area":null},{"id":"2411.05330","title":"Inversion-based Latent Bayesian Optimization","created":"2024-11-08","cited_by_count":11,"area":null},{"id":"2304.12436","title":"An Equivariant Generative Framework for Molecular Graph-Structure Co-Design","created":"2023-04-12","cited_by_count":10,"area":null},{"id":"2403.13858","title":"A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators","created":"2024-03-19","cited_by_count":8,"area":null},{"id":"2206.03597","title":"Meta-Learning Parameterized Skills","created":"2022-06-07","cited_by_count":7,"area":null},{"id":"2207.00128","title":"Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach","created":"2022-06-30","cited_by_count":7,"area":null},{"id":"2304.03775","title":"Biological Sequence Kernels with Guaranteed Flexibility","created":"2023-04-06","cited_by_count":7,"area":null},{"id":"2204.02877","title":"PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations","created":"2022-04-06","cited_by_count":6,"area":null},{"id":"2305.08457","title":"MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation","created":"2023-05-15","cited_by_count":6,"area":null},{"id":"2510.13328","title":"Thompson Sampling via Fine-Tuning of LLMs","created":"2025-10-15","cited_by_count":6,"area":null},{"id":"2305.02614","title":"High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling","created":"2023-05-04","cited_by_count":5,"area":"distill"},{"id":"2305.10384","title":"Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties","created":"2023-05-17","cited_by_count":5,"area":null},{"id":"2311.02213","title":"Joint Composite Latent Space Bayesian Optimization","created":"2023-11-03","cited_by_count":5,"area":null},{"id":"2303.08272","title":"Automated patent extraction powers generative modeling in focused chemical spaces","created":"2023-03-14","cited_by_count":4,"area":null},{"id":"2310.18449","title":"Black-Box Optimization with Implicit Constraints for Public Policy","created":"2023-10-27","cited_by_count":4,"area":null},{"id":"2405.18075","title":"Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2412.20350","title":"Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems","created":"2024-12-29","cited_by_count":4,"area":null},{"id":"2305.05098","title":"Who Needs Decoders? Efficient Estimation of Sequence-level Attributes","created":"2023-05-09","cited_by_count":3,"area":null},{"id":"2307.13344","title":"Prior Based Online Lane Graph Extraction from Single Onboard Camera Image","created":"2023-07-25","cited_by_count":2,"area":null},{"id":"2403.04937","title":"Gradient-free neural topology optimization: Towards effective fracture-resistant designs","created":"2024-03-07","cited_by_count":2,"area":null},{"id":"2405.00202","title":"Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design","created":"2024-04-30","cited_by_count":2,"area":null},{"id":"2405.20573","title":"Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2412.16554","title":"High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces","created":"2024-12-21","cited_by_count":2,"area":null},{"id":"2406.09657","title":"Mitigating over-exploration in latent space optimization using LES","created":"2024-06-14","cited_by_count":1,"area":null},{"id":"2601.00855","title":"Physically-Constrained Autoencoder-Assisted Bayesian Optimization for Refinement of High-Dimensional Defect-Sensitive Single Crystalline Structure","created":"2025-12-29","cited_by_count":1,"area":null},{"id":"2202.00893","title":"Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces","created":"2022-02-02","cited_by_count":0,"area":null},{"id":"2206.05988","title":"High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing","created":"2022-06-13","cited_by_count":0,"area":null},{"id":"2501.01552","title":"Multi-view Bayesian optimisation in an input-output reduced space for engineering design","created":"2025-01-02","cited_by_count":0,"area":null},{"id":"2501.19342","title":"Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2510.01840","title":"A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2510.08965","title":"HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2604.13980","title":"BOAT: Navigating the Sea of In Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2607.23480","title":"A Multi-stage Constrained Optimization Framework for Data-driven Problems","created":"2026-07-26","cited_by_count":0,"area":null}],"next_cursor":null}