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06/03/2022
Truly Mesh-free Physics-Informed Neural Networks
Physics-informed Neural Networks (PINNs) have recently emerged as a prin...
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04/14/2022
Learning Invariances with Generalised Input-Convex Neural Networks
Considering smooth mappings from input vectors to continuous targets, ou...
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11/25/2021
Learning Conditional Invariance through Cycle Consistency
Identifying meaningful and independent factors of variation in a dataset...
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06/24/2020
On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures
The Neural Tangent Kernel (NTK) is an important milestone in the ongoing...
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02/03/2020
Learning Extremal Representations with Deep Archetypal Analysis
Archetypes are typical population representatives in an extremal sense, ...
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01/30/2019