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09/03/2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
Sampling from known probability distributions is a ubiquitous task in co...
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05/03/2023
Normalizing flows for lattice gauge theory in arbitrary space-time dimension
Applications of normalizing flows to the sampling of field configuration...
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01/13/2023
Laser: Latent Set Representations for 3D Generative Modeling
NeRF provides unparalleled fidelity of novel view synthesis: rendering a...
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11/14/2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD
Recent applications of machine-learned normalizing flows to sampling in ...
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07/18/2022
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
This work presents gauge-equivariant architectures for flow-based sampli...
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02/23/2022
Flow-based sampling in the lattice Schwinger model at criticality
Recent results suggest that flow-based algorithms may provide efficient ...
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01/31/2022
Continual Repeated Annealed Flow Transport Monte Carlo
We propose Continual Repeated Annealed Flow Transport Monte Carlo (CRAFT...
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10/04/2021
Implicit Riemannian Concave Potential Maps
We are interested in the challenging problem of modelling densities on R...
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06/10/2021
Flow-based sampling for fermionic lattice field theories
Algorithms based on normalizing flows are emerging as promising machine ...
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04/01/2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
We propose NeRF-VAE, a 3D scene generative model that incorporates geome...
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08/21/2020
Amortized learning of neural causal representations
Causal models can compactly and efficiently encode the data-generating p...
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06/26/2020
Conditional Set Generation with Transformers
A set is an unordered collection of unique elements–and yet many machine...
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02/07/2020
Causally Correct Partial Models for Reinforcement Learning
In reinforcement learning, we can learn a model of future observations a...
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06/06/2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Inspired by recent work in attention models for image captioning and que...
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07/05/2018
Consistent Generative Query Networks
Stochastic video prediction is usually framed as an extrapolation proble...
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07/04/2018
Learning models for visual 3D localization with implicit mapping
We propose a formulation of visual localization that does not require co...
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07/04/2018
Neural Processes
A neural network (NN) is a parameterised function that can be tuned via ...
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07/04/2018
Conditional Neural Processes
Deep neural networks excel at function approximation, yet they are typic...
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03/05/2018
Optimizing Slate Recommendations via Slate-CVAE
The slate recommendation problem aims to find the "optimal" ordering of ...
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02/15/2017
Generative Temporal Models with Memory
We consider the general problem of modeling temporal data with long-rang...
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02/22/2016
