 Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025 |
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Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2024 |
 BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RLInternational Conference on Learning Representations (ICLR), 2025 |
 Sparse Gaussian Neural ProcessesSymposium on Advances in Approximate Bayesian Inference (AABI), 2025 |
PABBO: Preferential Amortized Black-Box OptimizationInternational Conference on Learning Representations (ICLR), 2025 |
 Dimension Agnostic Neural ProcessesInternational Conference on Learning Representations (ICLR), 2025 |
 Compact Latent Representation for Image Compression (CLRIC)International Conference on Information Photonics (ICIP), 2025 |
 DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingKnowledge Discovery and Data Mining (KDD), 2024 |
 Bridge the Inference Gaps of Neural Processes via Expectation MaximizationInternational Conference on Learning Representations (ICLR), 2025 |
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 Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Contextual Document EmbeddingsInternational Conference on Learning Representations (ICLR), 2024 |
