Search Results - "Richter, Mats L"

Can Synthetic Images Improve CNN Performance in Wound Image Classification? by Malihi, Leila, Hübner, Ursula, Richter, Mats L, Moelleken, Maurice, Przysucha, Mareike, Busch, Dorothee, Heggemann, Jan, Hafer, Guido, Wiemeyer, Stefan, Heidemann, Gunther, Dissemond, Joachim, Erfurt-Berge, Cornelia, Barkhau, Carlotta, Hendriks, Achim, Hüsers, Jens

“…For artificial intelligence (AI) based systems to become clinically relevant, they must perform well. Machine Learning (ML) based AI systems require a large…”
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AI-Based Crop Rotation for Sustainable Agriculture Worldwide by Schoning, Julius, Richter, Mats L.

“…Artificial intelligence (AI) and sustainability. Two words not commonly used in the context of crop rotation management. However, simple AI-based expert…”
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Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance by Richter, Mats L, Pal, Christopher

“…Minimal changes to neural architectures (e.g. changing a single hyperparameter in a key layer), can lead to significant gains in predictive performance in…”
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CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling by Fortier, Matthew, Richter, Mats L, Sonnentag, Oliver, Pal, Chris

“…Terrestrial carbon fluxes provide vital information about our biosphere's health and its capacity to absorb anthropogenic CO$_2$ emissions. The importance of…”
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Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis by Richter, Mats L, Schöning, Julius, Wiedenroth, Anna, Krumnack, Ulf

“…When optimizing convolutional neural networks (CNN) for a specific image-based task, specialists commonly overshoot the number of convolutional layers in their…”
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Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models by Pernias, Pablo, Rampas, Dominic, Richter, Mats L, Pal, Christopher J, Aubreville, Marc

“…The Twelfth International Conference on Learning Representations (ICLR), 2024 We introduce W\"urstchen, a novel architecture for text-to-image synthesis that…”
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Simple and Scalable Strategies to Continually Pre-train Large Language Models by Ibrahim, Adam, Thérien, Benjamin, Gupta, Kshitij, Richter, Mats L, Anthony, Quentin, Lesort, Timothée, Belilovsky, Eugene, Rish, Irina

“…Large language models (LLMs) are routinely pre-trained on billions of tokens, only to start the process over again once new data becomes available. A much more…”
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Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Richter, Mats L., Schoning, Julius, Wiedenroth, Anna, Krumnack, Ulf

“…When optimizing convolutional neural networks (CNN) for a specific image-based task, specialists commonly overshoot the number of convolutional layers in their…”
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Continual Pre-Training of Large Language Models: How to (re)warm your model? by Gupta, Kshitij, Thérien, Benjamin, Ibrahim, Adam, Richter, Mats L, Anthony, Quentin, Belilovsky, Eugene, Rish, Irina, Lesort, Timothée

“…Large language models (LLMs) are routinely pre-trained on billions of tokens, only to restart the process over again once new data becomes available. A much…”
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Exploring the Properties and Evolution of Neural Network Eigenspaces during Training by Richter, Mats L, Malihi, Leila, Windler, Anne-Kathrin Patricia, Krumnack, Ulf

“…In this work we explore the information processing inside neural networks using logistic regression probes \cite{probes} and the saturation metric…”
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Spectral Analysis of Latent Representations by Shenk, Justin, Richter, Mats L, Arpteg, Anders, Huss, Mikael

“…We propose a metric, Layer Saturation, defined as the proportion of the number of eigenvalues needed to explain 99% of the variance of the latent…”
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Size Matters by Richter, Mats L, Byttner, Wolf, Krumnack, Ulf, Schallner, Ludwdig, Shenk, Justin

“…Artificial Neural Networks and Machine Learning ICANN 2021 133-144 Fully convolutional neural networks can process input of arbitrary size by applying a…”
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Feature Space Saturation during Training by Richter, Mats L, Shenk, Justin, Byttner, Wolf, Arpteg, Anders, Huss, Mikael

“…British Machine Vision Conference (BMVC) 2021 We propose layer saturation - a simple, online-computable method for analyzing the information processing in…”
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An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers by Hüsers, Jens, Moelleken, Maurice, Richter, Mats L, Przysucha, Mareike, Malihi, Leila, Busch, Dorothee, Götz, Nina-Alexandra, Heggemann, Jan, Hafer, Guido, Wiemeyer, Stefan, Babitsch, Birgit, Heidemann, Gunther, Dissemond, Joachim, Erfurt-Berge, Cornelia, Hübner, Ursula

“…Venous leg ulcers and diabetic foot ulcers are the most common chronic wounds. Their prevalence has been increasing significantly over the last years,…”
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