Search Results for author: Fabian Falck

Found 11 papers, 4 papers with code

Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection

no code implementations3 Mar 2024 Sam Dauncey, Chris Holmes, Christopher Williams, Fabian Falck

In this work, we analyse using the gradient of a data point with respect to the parameters of the deep generative model for OOD detection, based on the simple intuition that OOD data should have larger gradient norms than training data.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

A Unified Framework for U-Net Design and Analysis

1 code implementation NeurIPS 2023 Christopher Williams, Fabian Falck, George Deligiannidis, Chris Holmes, Arnaud Doucet, Saifuddin Syed

U-Nets are a go-to, state-of-the-art neural architecture across numerous tasks for continuous signals on a square such as images and Partial Differential Equations (PDE), however their design and architecture is understudied.

Image Segmentation Semantic Segmentation

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

no code implementations19 Jan 2023 Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris Holmes, Arnaud Doucet, Matthew Willetts

U-Net architectures are ubiquitous in state-of-the-art deep learning, however their regularisation properties and relationship to wavelets are understudied.

Neural Score Matching for High-Dimensional Causal Inference

1 code implementation1 Mar 2022 Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris Holmes

We leverage these balancing scores to perform matching for high-dimensional causal inference and call this procedure neural score matching.

Causal Inference Vocal Bursts Intensity Prediction

Ivy: Templated Deep Learning for Inter-Framework Portability

1 code implementation4 Feb 2021 Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark

We introduce Ivy, a templated Deep Learning (DL) framework which abstracts existing DL frameworks.

ML4H Abstract Track 2020

no code implementations19 Nov 2020 Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2020.

BIG-bench Machine Learning

Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM

no code implementations24 Feb 2020 Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew Davison

Generally capable Spatial AI systems must build persistent scene representations where geometric models are combined with meaningful semantic labels.

Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning

no code implementations12 Nov 2019 Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski

By analyzing the clusters of latent embeddings and visualizing them over time, we hypothesize that the clusters correspond to the physiological response patterns that match physicians' intuition.

BIG-bench Machine Learning Survival Prediction +2

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