Search Results - "Robert Muller"

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints by Sattler, Felix, Muller, Klaus-Robert, Samek, Wojciech

“…Federated learning (FL) is currently the most widely adopted framework for collaborative training of (deep) machine learning models under privacy constraints…”
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Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data by Sattler, Felix, Wiedemann, Simon, Muller, Klaus-Robert, Samek, Wojciech

“…Federated learning allows multiple parties to jointly train a deep learning model on their combined data, without any of the participants having to reveal…”
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Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications by Samek, Wojciech, Montavon, Gregoire, Lapuschkin, Sebastian, Anders, Christopher J., Muller, Klaus-Robert

“…With the broader and highly successful usage of machine learning (ML) in industry and the sciences, there has been a growing demand for explainable artificial…”
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Evaluating the Visualization of What a Deep Neural Network Has Learned by Samek, Wojciech, Binder, Alexander, Montavon, Gregoire, Lapuschkin, Sebastian, Muller, Klaus-Robert

“…Deep neural networks (DNNs) have demonstrated impressive performance in complex machine learning tasks such as image classification or speech recognition…”
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A Unifying Review of Deep and Shallow Anomaly Detection by Ruff, Lukas, Kauffmann, Jacob R., Vandermeulen, Robert A., Montavon, Gregoire, Samek, Wojciech, Kloft, Marius, Dietterich, Thomas G., Muller, Klaus-Robert

“…Deep learning approaches to anomaly detection (AD) have recently improved the state of the art in detection performance on complex data sets, such as large…”
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Polymer and Organic Nonvolatile Memory Devices by Heremans, Paul, Gelinck, Gerwin H, Müller, Robert, Baeg, Kang-Jun, Kim, Dong-Yu, Noh, Yong-Young

“…Organic molecules and semiconductors have been proposed as active part of a large variety of nonvolatile memory devices, including resistors, diodes and…”
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Compact and Computationally Efficient Representation of Deep Neural Networks by Wiedemann, Simon, Muller, Klaus-Robert, Samek, Wojciech

“…At the core of any inference procedure, deep neural networks are dot product operations, which are the component that requires the highest computational…”
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A community-based study of the impact of trauma exposure on school-aged children's self-concept and improvements following TF-CBT by Konanur, Sheila, Muller, Robert T.

“…Experiencing trauma in childhood has been associated with more severe psychopathology and a greater risk of engaging in harmful behavior later in life…”
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Higher-Order Explanations of Graph Neural Networks via Relevant Walks by Schnake, Thomas, Eberle, Oliver, Lederer, Jonas, Nakajima, Shinichi, Schutt, Kristof T., Muller, Klaus-Robert, Montavon, Gregoire

“…Graph Neural Networks (GNNs) are a popular approach for predicting graph structured data. As GNNs tightly entangle the input graph into the neural network…”
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Understanding machine-learned density functionals by Li, Li, Snyder, John C., Pelaschier, Isabelle M., Huang, Jessica, Niranjan, Uma-Naresh, Duncan, Paul, Rupp, Matthias, Müller, Klaus-Robert, Burke, Kieron

“…Machine learning (ML) is an increasingly popular statistical tool for analyzing either measured or calculated data sets. Here, we explore its application to a…”
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Diffeomorphic Counterfactuals With Generative Models by Dombrowski, Ann-Kathrin, Gerken, Jan E., Muller, Klaus-Robert, Kessel, Pan

“…Counterfactuals can explain classification decisions of neural networks in a human interpretable way. We propose a simple but effective method to generate such…”
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The arabidopsis information resource: Making and mining the "gold standard" annotated reference plant genome by Berardini, Tanya Z., Reiser, Leonore, Li, Donghui, Mezheritsky, Yarik, Muller, Robert, Strait, Emily, Huala, Eva

“…Summary The Arabidopsis Information Resource (TAIR) is a continuously updated, online database of genetic and molecular biology data for the model plant…”
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From Clustering to Cluster Explanations via Neural Networks by Kauffmann, Jacob, Esders, Malte, Ruff, Lukas, Montavon, Gregoire, Samek, Wojciech, Muller, Klaus-Robert

“…A recent trend in machine learning has been to enrich learned models with the ability to explain their own predictions. The emerging field of explainable AI…”
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M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring by von Luhmann, Alexander, Wabnitz, Heidrun, Sander, Tilmann, Muller, Klaus-Robert

“…Objective: For the further development of the fields of telemedicine, neurotechnology, and brain-computer interfaces, advances in hybrid multimodal signal…”
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Transferring Subspaces Between Subjects in Brain--Computer Interfacing by Samek, Wojciech, Meinecke, Frank C., Muller, Klaus-Robert

“…Compensating changes between a subjects' training and testing session in brain-computer interfacing (BCI) is challenging but of great importance for a robust…”
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Chlor-alkali Process with Subsequent Polyvinyl Chloride ProductionCost Analysis and Economic Evaluation of Demand Response by Klaucke, Franziska, Müller, Robert, Hofmann, Mathias, Weigert, Joris, Fischer, Peter, Vomberg, Sebastian, Tsatsaronis, George, Repke, Jens-Uwe

“…Demand response is a viable option to cope with the increasing demand for flexibility of an energy system based on renewables. Several studies have shown that…”
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Building and Interpreting Deep Similarity Models by Eberle, Oliver, Buttner, Jochen, Krautli, Florian, Muller, Klaus-Robert, Valleriani, Matteo, Montavon, Gregoire

“…Many learning algorithms such as kernel machines, nearest neighbors, clustering, or anomaly detection, are based on distances or similarities. Before…”
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Langevin Cooling for Unsupervised Domain Translation by Srinivasan, Vignesh, Muller, Klaus-Robert, Samek, Wojciech, Nakajima, Shinichi

“…Domain translation is the task of finding correspondence between two domains. Several deep neural network (DNN) models, e.g., CycleGAN and cross-lingual…”
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Validity of Time Reversal for Testing Granger Causality by Winkler, Irene, Panknin, Danny, Bartz, Daniel, Muller, Klaus-Robert, Haufe, Stefan

“…Inferring causal interactions from observed data is a challenging problem, especially in the presence of measurement noise. To alleviate the problem of…”
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Magnetic Iron Oxide Nanoparticles: Synthesis, Stabilization, Vectorization, Physicochemical Characterizations, and Biological Applications by Laurent, Sophie, Forge, Delphine, Port, Marc, Roch, Alain, Robic, Caroline, Vander Elst, Luce, Muller, Robert N

“…Methods of synthesizing, stabilizing and vectorizing magnetic iron nanoparticles are discussed. Substantial progress in creating such nanoparticles in a wide…”
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