Robert Kirby
16 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π€
Dynamic Duo
(15)
ποΈ
Keyword Collector
(63)
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Century Club
(16)
π₯
Unstoppable
(5)
Conferences
AISTATS (6)
NIPS (5)
ICML (3)
AAAI (1)
ECCV (1)
Top co-authors
Keywords
gaussian process
(6)
variational inference
(5)
mutual information
(3)
uncertainty quantification
(3)
acquisition function
(3)
bayesian inference
(2)
tensor decomposition
(2)
active learning
(2)
physics-informed learning
(2)
partial differential equation
(2)
temporal dynamics
(2)
deep neural network
(2)
differential equation
(2)
deep kernel learning
(1)
dirichlet process
(1)
loss landscape
(1)
stochastic process
(1)
nonparametric bayesian
(1)
kernel regression
(1)
posterior inference
(1)
Papers
Multi-Resolution Active Learning of Fourier Neural Operators
AISTATS 2024
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels
AISTATS 2024
Meta-Learning with Adjoint Methods
AISTATS 2023
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
ICML 2022
Batch Multi-Fidelity Active Learning with Budget Constraints
NIPS 2022
Infinite-Fidelity Coregionalization for Physical Simulation
NIPS 2022
Physics Informed Deep Kernel Learning
AISTATS 2022
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs
AISTATS 2022
Bayesian Continuous-Time Tucker Decomposition
ICML 2022
Decomposing Temporal High-Order Interactions via Latent ODEs
ICML 2022
Characterizing possible failure modes in physics-informed neural networks
NIPS 2021
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
NIPS 2021
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation
AISTATS 2021
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
NIPS 2020
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
AAAI 2020
SDC-Net: Video prediction using spatially-displaced convolution
ECCV 2018