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2011.12916
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Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
International Conference on Machine Learning (ICML), 2020
25 November 2020
P. Holderrieth
M. Hutchinson
Yee Whye Teh
BDL
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Papers citing
"Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes"
25 / 25 papers shown
Approximately Equivariant Neural Processes
Neural Information Processing Systems (NeurIPS), 2024
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Cristiana-Diana Diaconu
Adrian Weller
W. Bruinsma
Richard E. Turner
BDL
224
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19 Jun 2024
Translation Equivariant Transformer Neural Processes
Matthew Ashman
Cristiana-Diana Diaconu
Junhyuck Kim
Lakee Sivaraya
Stratis Markou
James Requeima
W. Bruinsma
Richard E. Turner
291
10
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18 Jun 2024
Spectral Convolutional Conditional Neural Processes
Peiman Mohseni
Nick Duffield
393
4
0
19 Apr 2024
A Survey of Machine Learning for Estimating Workload: Considering Unknown Tasks
Josh Bhagat Smith
Julie A. Adams
342
0
0
20 Mar 2024
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes
Andreas Besginow
J. D. Hüwel
Thomas Pawellek
Christian Beecks
Markus Lange-Hegermann
181
0
0
14 Mar 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
Jörn Tebbe
Christoph Zimmer
A. Steland
Markus Lange-Hegermann
Fabian Mies
GP
304
6
0
28 Feb 2024
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
International Conference on Machine Learning (ICML), 2023
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
862
20
0
03 Oct 2023
Geometric Neural Diffusion Processes
Neural Information Processing Systems (NeurIPS), 2023
Emile Mathieu
Vincent Dutordoir
M. Hutchinson
Valentin De Bortoli
Yee Whye Teh
Richard Turner
DiffM
297
11
0
11 Jul 2023
Practical Equivariances via Relational Conditional Neural Processes
Neural Information Processing Systems (NeurIPS), 2023
Daolang Huang
Manuel Haussmann
Ulpu Remes
S. T. John
Grégoire Clarté
K. Luck
Samuel Kaski
Luigi Acerbi
BDL
492
12
0
19 Jun 2023
Adaptive Conditional Quantile Neural Processes
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Peiman Mohseni
N. Duffield
Bani Mallick
Arman Hasanzadeh
368
4
0
30 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block
International Conference on Machine Learning (ICML), 2023
Leo Feng
Frederick Tung
Hossein Hajimirsadeghi
Yoshua Bengio
Mohamed Osama Ahmed
479
8
0
23 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Neural Information Processing Systems (NeurIPS), 2023
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
360
7
0
23 May 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Linhao Luo
Yuan-Fang Li
Gholamreza Haffari
Shirui Pan
BDL
235
48
0
17 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
Neural Information Processing Systems (NeurIPS), 2023
M. Jung
He Zhao
Joanna Dipnall
Lan Du
UQCV
BDL
310
13
0
04 Apr 2023
Adversarially Contrastive Estimation of Conditional Neural Processes
Zesheng Ye
Jing Du
Weitong Chen
UQCV
214
2
0
23 Mar 2023
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
Marvin Pfortner
Ingo Steinwart
Philipp Hennig
Jonathan Wenger
AI4CE
658
47
0
23 Dec 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
Web Search and Data Mining (WSDM), 2022
Linhao Luo
Reza Haffari
Shirui Pan
AI4TS
266
41
0
15 Nov 2022
Latent Bottlenecked Attentive Neural Processes
International Conference on Learning Representations (ICLR), 2022
Leo Feng
Hossein Hajimirsadeghi
Yoshua Bengio
Mohamed Osama Ahmed
BDL
314
29
0
15 Nov 2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yohan Jung
Jinkyoo Park
BDL
196
1
0
22 Oct 2022
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
Weitong Chen
BDL
601
27
0
01 Sep 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
International Conference on Machine Learning (ICML), 2022
Tung Nguyen
Aditya Grover
BDL
UQCV
352
144
0
09 Jul 2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions
Stratis Markou
James Requeima
W. Bruinsma
Anna Vaughan
Richard Turner
UQCV
AI4CE
365
29
0
16 Mar 2022
Contrastive Conditional Neural Processes
Computer Vision and Pattern Recognition (CVPR), 2022
Zesheng Ye
Lina Yao
UQCV
274
15
0
08 Mar 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
International Conference on Machine Learning (ICML), 2022
Rui Wang
Robin Walters
Rose Yu
515
109
0
28 Jan 2022
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
Alexandru Paul Condurache
ViT
AI4CE
436
15
0
30 Jun 2020
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