Mats L. Richter

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Diffusion Models

Relative Improvement

Top Venues

Publications

Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. ICLR (2024)
Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Chris Pal
CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. CoRR (2024)
Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish
Simple and Scalable Strategies to Continually Pre-train Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Anthony, Timothée Lesort, Eugene Belilovsky, Irina Rish
Simple and Scalable Strategies to Continually Pre-train Large Language Models. CoRR (2024)
Leila Malihi, Ursula Hübner, Mats L. Richter, Maurice Moelleken, Mareike Przysucha, Dorothee Busch, Jan Heggemann, Guido Hafer, Stefan Wiemeyer, Gunther Heidemann, Joachim Dissemond, Cornelia Erfurt-Berge, Carlotta B. C. Barkhau, Achim Hendriks, Jens Hüsers
Can Synthetic Images Improve CNN Performance in Wound Image Classification? MIE (2023)
Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats L. Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, Timothée Lesort
Continual Pre-Training of Large Language Models: How to (re)warm your model? CoRR (2023)
Jens Hüsers, Maurice Moelleken, Mats L. Richter, Mareike Przysucha, Leila Malihi, Dorothee Busch, Nina-Alexandra Götz, Jan Heggemann, Guido Hafer, Stefan Wiemeyer, Birgit Babitsch, Gunther Heidemann, Joachim Dissemond, Cornelia Erfurt-Berge, Ursula Hübner
An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers. MIE (2022)
Leila Malihi, Jens Hüsers, Mats L. Richter, Maurice Moelleken, Mareike Przysucha, Dorothee Busch, Jan Heggemann, Guido Hafer, Stefan Wiemeyer, Gunther Heidemann, Joachim Dissemond, Cornelia Erfurt-Berge, Ursula Hübner
Automatic Wound Type Classification with Convolutional Neural Networks. ICIMTH (2022)
Justin Shenk, Mats L. Richter, Wolf Byttner
Delve: Neural Network Feature Variance Analysis. J. Open Source Softw. 7 (69) (2022)
Mats L. Richter, Christopher Pal
Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance. CoRR (2022)
Mats L. Richter, Julius Schöning, Ulf Krumnack
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis. CoRR (2021)
Mats L. Richter, Justin Shenk, Wolf Byttner, Anna Wiedenroth, Mikael Huss
Feature Space Saturation during Training. BMVC (2021)
Mats L. Richter, Wolf Byttner, Ulf Krumnack, Anna Wiedenroth, Ludwig Schallner, Justin Shenk
(Input) Size Matters for CNN Classifiers. ICANN (2) (2021)
Mats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training. ICMLA (2021)
Mats L. Richter, Leila Malihi, Anne-Kathrin Patricia Windler, Ulf Krumnack
Exploring the Properties and Evolution of Neural Network Eigenspaces during Training. CoRR (2021)
Julius Schöning, Mats L. Richter
AI-Based Crop Rotation for Sustainable Agriculture Worldwide. GHTC (2021)
Mats L. Richter, Wolf Byttner, Ulf Krumnack, Ludwig Schallner, Justin Shenk
Size Matters. CoRR (2021)
Justin Shenk, Mats L. Richter, Wolf Byttner, Anders Arpteg, Mikael Huss
Feature Space Saturation during Training. CoRR (2020)
Justin Shenk, Mats L. Richter, Anders Arpteg, Mikael Huss
Spectral Analysis of Latent Representations. CoRR (2019)