conftrace_

surrogate model

181 papers

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Co-occurring keywords

bayesian optimization (624) gaussian process (1200) hyperparameter optimization (406) acquisition function (129) black-box optimization (183) adversarial attack (1621) neural network (6616) partial differential equation (222) graph neural network (3962) multi-objective optimization (364)

Papers

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024
Inversion-based Latent Bayesian Optimization NIPS 2024
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution AAAI 2024
Stronger and Transferable Node Injection Attacks AAAI 2024
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis NIPS 2024
Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection NIPS 2024
SLICE: Stabilized LIME for Consistent Explanations for Image Classification CVPR 2024
DALD: Improving Logits-based Detector without Logits from Black-box LLMs NIPS 2024
Event-triggered safe Bayesian optimization on quadcopters L4DC 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NIPS 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NIPS 2024
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries IJCAI 2024
FUSE: Fast Unified Simulation and Estimation for PDEs NIPS 2024
Gliding over the Pareto Front with Uniform Designs NIPS 2024
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023
Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023
A Neural PDE Solver with Temporal Stencil Modeling ICML 2023
Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023