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07/12/2023
Machine learning and Topological data analysis identify unique features of human papillae in 3D scans
The tongue surface houses a range of papillae that are integral to the m...
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06/08/2023
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet
The rapid adoption of generative Artificial Intelligence (AI) tools that...
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05/09/2023
Metric Space Magnitude and Generalisation in Neural Networks
Deep learning models have seen significant successes in numerous applica...
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06/01/2022
Differentially Private Shapley Values for Data Evaluation
The Shapley value has been proposed as a solution to many applications i...
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03/14/2022
On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem
We consider the following surveillance problem: Given a set P of n sites...
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03/07/2022
Continual and Sliding Window Release for Private Empirical Risk Minimization
It is difficult to continually update private machine learning models wi...
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02/11/2022
The Shapley Value in Machine Learning
Over the last few years, the Shapley value, a solution concept from coop...
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04/15/2021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
We present PyTorch Geometric Temporal a deep learning framework combinin...
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02/16/2021
Euler Characteristic Surfaces
We study the use of the Euler characteristic for multiparameter topologi...
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02/16/2021
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks
Recurrent graph convolutional neural networks are highly effective machi...
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01/08/2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
Proximity preserving and structural role-based node embeddings became a ...
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01/06/2021
The Shapley Value of Classifiers in Ensemble Games
How do we decide the fair value of individual classifiers in an ensemble...
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06/25/2020
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent
Private machine learning involves addition of noise while training, resu...
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06/08/2020
Little Ball of Fur: A Python Library for Graph Sampling
Sampling graphs is an important task in data mining. In this paper, we d...
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05/16/2020
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
In this paper, we propose a flexible notion of characteristic functions ...
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05/05/2020
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
We consider the problem of finding patrol schedules for k robots to visi...
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03/10/2020
An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs
We present Karate Club a Python framework combining more than 30 state-o...
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01/21/2020
Fast Sequence-Based Embedding with Diffusion Graphs
A graph embedding is a representation of graph vertices in a low-dimensi...
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09/28/2019
Multi-scale Attributed Node Embedding
We present network embedding algorithms that capture information about a...
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11/03/2014