no code implementations • 26 Mar 2024 • Michael Poli, Armin W Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
The development of deep learning architectures is a resource-demanding process, due to a vast design space, long prototyping times, and high compute costs associated with at-scale model training and evaluation.
no code implementations • 2 Nov 2023 • Björn Deiseroth, Max Meuer, Nikolas Gritsch, Constantin Eichenberg, Patrick Schramowski, Matthias Aßenmacher, Kristian Kersting
Large Language Models (LLMs) have reshaped natural language processing with their impressive capabilities.
1 code implementation • NeurIPS 2023 • Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users.
1 code implementation • NeurIPS 2023 • Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting
Generative transformer models have become increasingly complex, with large numbers of parameters and the ability to process multiple input modalities.
no code implementations • 6 Dec 2022 • Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas
We introduce M-VADER: a diffusion model (DM) for image generation where the output can be specified using arbitrary combinations of images and text.
1 code implementation • 14 Nov 2022 • Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindřich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting
Do the models capture moral norms from English and impose them on other languages?
2 code implementations • CVPR 2023 • Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting
Text-conditioned image generation models have recently achieved astonishing results in image quality and text alignment and are consequently employed in a fast-growing number of applications.
no code implementations • 29 Aug 2022 • Björn Deiseroth, Patrick Schramowski, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Text-to-image models have recently achieved remarkable success with seemingly accurate samples in photo-realistic quality.
1 code implementation • 17 Aug 2022 • Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting
Bootstrapping from pre-trained language models has been proven to be an efficient approach for building vision-language models (VLM) for tasks such as image captioning or visual question answering.
no code implementations • 18 Mar 2022 • Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindřich Libovický, Alexander Fraser, Kristian Kersting
Massively multilingual sentence representations are trained on large corpora of uncurated data, with a very imbalanced proportion of languages included in the training.