Mats L. Richter

23 papers A* 1A 1C 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models. Bildverarbeitung für die Medizin Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal, Marc Aubreville
2025	J	`jnl`	Surfer 2: The Next Generation of Cross-Platform Computer Use Agents. CoRR Mathieu Andreux, Märt Bakler, Yanael Barbier, Hamza Benchekroun, Emilien Biré, Antoine Bonnet, Riaz Bordie, Nathan Bout, Matthias Brunel, Aleix Cambray, Pierre-Louis Cedoz, Antoine Chassang, Gautier Cloix, Ethan Connelly, Alexandra D. Constantinou, Ramzi De Coster, Hubert de La Jonquière, Aurélien Delfosse, Maxime Delpit, Alexis Deprez, Augustin Derupti, Mathieu Diaz, Shannon D'Souza, Julie Dujardin, Abai Edmund, Michael Eickenberg, Armand Fatalot, Wissem Felissi, Isaac Herring, Xavier Koegler, Erwan Le Jumeau de Kergaradec, Aurélien Lac, Maxime Langevin, Corentin Lauverjat, Antonio Loison, Avshalom Manevich, Axel Moyal, Axel Nguyen Kerbel, Marinela Parovic, Julien Revelle, Guillaume Richard, Mats L. Richter, Ronan Riochet, María Santos, Romain Savidan, Laurent Sifre, Maxime Theillard, Marc Thibault, Ivan Valentini, Tony Wu, Laura Yie, Kai Yuan, Jevgenij Zubovskij
2025	J	`jnl`	Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights. CoRR Mathieu Andreux, Breno Baldas Skuk, Hamza Benchekroun, Emilien Biré, Antoine Bonnet, Riaz Bordie, Nathan Bout, Matthias Brunel, Pierre-Louis Cedoz, Antoine Chassang, Mickaël Chen, Alexandra D. Constantinou, Antoine d'Andigné, Hubert de La Jonquière, Aurélien Delfosse, Ludovic Denoyer, Alexis Deprez, Augustin Derupti, Michael Eickenberg, Mathïs Federico, Charles Kantor, Xavier Koegler, Yann Labbé, Matthew C. H. Lee, Erwan Le Jumeau de Kergaradec, Amir Mahla, Avshalom Manevich, Adrien Maret, Charles Masson, Rafaël Maurin, Arturo Mena, Philippe Modard, Axel Moyal, Axel Nguyen Kerbel, Julien Revelle, Mats L. Richter, María Santos, Laurent Sifre, Maxime Theillard, Marc Thibault, Louis Thiry, Léo Tronchon, Nicolas Usunier, Tony Wu
2024	J	`jnl`	CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling. CoRR Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Chris Pal
2024	J	`jnl`	Simple and Scalable Strategies to Continually Pre-train Large Language Models. CoRR Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Anthony, Timothée Lesort, Eugene Belilovsky, Irina Rish
2024	J	`jnl`	Simple and Scalable Strategies to Continually Pre-train Large Language Models. Trans. Mach. Learn. Res. Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish
2024	A*	`conf`	Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models. ICLR Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville
2023	—	`conf`	Can Synthetic Images Improve CNN Performance in Wound Image Classification? MIE 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
2023	J	`jnl`	Continual Pre-Training of Large Language Models: How to (re)warm your model? CoRR Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats L. Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, Timothée Lesort
2022	—	`conf`	An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers. MIE 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
2022	—	`conf`	Automatic Wound Type Classification with Convolutional Neural Networks. ICIMTH 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
2022	J	`jnl`	Delve: Neural Network Feature Variance Analysis. J. Open Source Softw. Justin Shenk, Mats L. Richter, Wolf Byttner
2022	J	`jnl`	Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance. CoRR Mats L. Richter, Christopher Pal
2022	—	`—`	Towards efficient convolutional neural architecture design: exploring the properties of neural architectures using spectral decomposition and logistic regression probes. Mats L. Richter
2021	—	`conf`	(Input) Size Matters for CNN Classifiers. ICANN (2) Mats L. Richter, Wolf Byttner, Ulf Krumnack, Anna Wiedenroth, Ludwig Schallner, Justin Shenk
2021	—	`conf`	AI-Based Crop Rotation for Sustainable Agriculture Worldwide. GHTC Julius Schöning, Mats L. Richter
2021	J	`jnl`	Exploring the Properties and Evolution of Neural Network Eigenspaces during Training. CoRR Mats L. Richter, Leila Malihi, Anne-Kathrin Patricia Windler, Ulf Krumnack
2021	A	`conf`	Feature Space Saturation during Training. BMVC Mats L. Richter, Justin Shenk, Wolf Byttner, Anna Wiedenroth, Mikael Huss
2021	J	`jnl`	Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis. CoRR Mats L. Richter, Julius Schöning, Ulf Krumnack
2021	C	`conf`	Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training. ICMLA Mats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack
2021	J	`jnl`	Size Matters. CoRR Mats L. Richter, Wolf Byttner, Ulf Krumnack, Ludwig Schallner, Justin Shenk
2020	J	`jnl`	Feature Space Saturation during Training. CoRR Justin Shenk, Mats L. Richter, Wolf Byttner, Anders Arpteg, Mikael Huss
2019	J	`jnl`	Spectral Analysis of Latent Representations. CoRR Justin Shenk, Mats L. Richter, Anders Arpteg, Mikael Huss