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05/21/2023
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors
Understanding the mechanisms underlying human attention is a fundamental...
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05/17/2023
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
Certified defenses against adversarial attacks offer formal guarantees o...
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05/03/2023
FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
Clustering is at the very core of machine learning, and its applications...
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11/22/2022
Simulating Human Gaze with Neural Visual Attention
Existing models of human visual attention are generally unable to incorp...
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04/19/2022
Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention
By and large, existing computational models of visual attention tacitly ...
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05/21/2021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
Progress in making neural networks more robust against adversarial attac...
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03/23/2021
CLIP: Cheap Lipschitz Training of Neural Networks
Despite the large success of deep neural networks (DNN) in recent years,...
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02/24/2021
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
The susceptibility of deep neural networks to untrustworthy predictions,...
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01/11/2021
System Design for a Data-driven and Explainable Customer Sentiment Monitor
The most important goal of customer services is to keep the customer sat...
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11/05/2020
Sampled Nonlocal Gradients for Stronger Adversarial Attacks
The vulnerability of deep neural networks to small and even imperceptibl...
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10/21/2020
Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment
Process Mining has recently gained popularity in healthcare due to its p...
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10/02/2020
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
Predictive business process monitoring (PBPM) aims to predict future pro...
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02/24/2020