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09/18/2023
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation lear...
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09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
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04/20/2023
A data augmentation perspective on diffusion models and retrieval
Diffusion models excel at generating photorealistic images from text-que...
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01/12/2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Recent years have seen a surge of interest in learning high-level causal...
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09/29/2022
Bridging the Gap to Real-World Object-Centric Learning
Humans naturally decompose their environment into entities at the approp...
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07/19/2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Since out-of-distribution generalization is a generally ill-posed proble...
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10/08/2021
Pathologies in priors and inference for Bayesian transformers
In recent years, the transformer has established itself as a workhorse i...
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07/12/2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
Despite decades of clinical research, sepsis remains a global public hea...
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06/02/2021
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Graph generative models are a highly active branch of machine learning. ...
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02/15/2021
Topological Graph Neural Networks
Graph neural networks (GNNs) are a powerful architecture for tackling gr...
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02/15/2021
Translational Equivariance in Kernelizable Attention
While Transformer architectures have show remarkable success, they are b...
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05/25/2020
Path Imputation Strategies for Signature Models
The signature transform is a 'universal nonlinearity' on the space of co...
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09/26/2019
Set Functions for Time Series
Despite the eminent successes of deep neural networks, many architecture...
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06/03/2019
Topological Autoencoders
We propose a novel approach for preserving topological structures of the...
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04/16/2019
Machine learning for early prediction of circulatory failure in the intensive care unit
Intensive care clinicians are presented with large quantities of patient...
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02/05/2019
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis
Motivation: Sepsis is a life-threatening host response to infection asso...
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12/23/2018
