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05/23/2022
Flexible Diffusion Modeling of Long Videos
We present a framework for video modeling based on denoising diffusion p...
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01/13/2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Modern deep learning requires large-scale extensively labelled datasets ...
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07/01/2021
Proof of the impossibility of probabilistic induction
In this short note I restate and simplify the proof of the impossibility...
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07/01/2021
q-Paths: Generalizing the Geometric Annealing Path using Power Means
Many common machine learning methods involve the geometric annealing pat...
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06/18/2021
Differentiable Particle Filtering without Modifying the Forward Pass
In recent years particle filters have being used as components in system...
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12/14/2020
Annealed Importance Sampling with q-Paths
Annealed importance sampling (AIS) is the gold standard for estimating p...
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10/29/2020
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
Achieving the full promise of the Thermodynamic Variational Objective (T...
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07/01/2020
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
The recently proposed Thermodynamic Variational Objective (TVO) leverage...
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03/30/2020
Planning as Inference in Epidemiological Models
In this work we demonstrate how existing software tools can be used to a...
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12/07/2019
Improved Few-Shot Visual Classification
Few-shot learning is a fundamental task in computer vision that carries ...
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06/28/2019