Shibo Li
15 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Conference Polyglot (5)
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Hot Topic Early Bird
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Dynamic Duo
(15)
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(15)
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(5)
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(59)
Conferences
NIPS (6)
AISTATS (3)
ICML (3)
ICLR (2)
IJCAI (1)
Top co-authors
Keywords
gaussian process
(4)
tensor decomposition
(4)
acquisition function
(3)
mutual information
(3)
active learning
(2)
deep neural network
(2)
embedding learning
(2)
optimal transport
(1)
gradient descent
(1)
few-shot learning
(1)
kronecker product
(1)
gaussian process regression
(1)
posterior inference
(1)
multi-output regression
(1)
temporal dynamics
(1)
nonparametric inference
(1)
bayesian optimization
(1)
tensor factorization
(1)
temporal learning
(1)
bayesian model
(1)
Papers
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
ICLR 2024
Multi-Resolution Active Learning of Fourier Neural Operators
AISTATS 2024
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
ICLR 2024
Meta-Learning with Adjoint Methods
AISTATS 2023
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
NIPS 2023
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
NIPS 2023
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
ICML 2023
Nonparametric Embeddings of Sparse High-Order Interaction Events
ICML 2022
Batch Multi-Fidelity Active Learning with Budget Constraints
NIPS 2022
Infinite-Fidelity Coregionalization for Physical Simulation
NIPS 2022
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs
AISTATS 2022
Decomposing Temporal High-Order Interactions via Latent ODEs
ICML 2022
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
NIPS 2021
Scalable Gaussian Process Regression Networks
IJCAI 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
NIPS 2020