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2020 – today
- 2024
[c3]Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. ICLR 2024- [i9]Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparaju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccoló Zanichelli, Carlos Riquelme:
Stable LM 2 1.6B Technical Report. CoRR abs/2402.17834 (2024) - [i8]Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper:
Stable Code Technical Report. CoRR abs/2404.01226 (2024) - 2023
- [c2]Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach:
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. NeurIPS 2023 - [c1]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-to-Image Models. NeurIPS 2023 - [i7]Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai
, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach:
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. CoRR abs/2305.15296 (2023) - [i6]Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. CoRR abs/2310.13032 (2023) - [i5]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-To-Image Models. CoRR abs/2311.04287 (2023) - 2022
- [i4]Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andrés Felipe Cruz-Salinas:
M-VADER: A Model for Diffusion with Multimodal Context. CoRR abs/2212.02936 (2022) - 2021
- [i3]Marco Bellagente, Manuel Haußmann, Michel Luchmann, Tilman Plehn:
Understanding Event-Generation Networks via Uncertainties. CoRR abs/2104.04543 (2021) - [i2]Ramon Winterhalder, Marco Bellagente, Benjamin Nachman:
Latent Space Refinement for Deep Generative Models. CoRR abs/2106.00792 (2021)
2010 – 2019
- 2019
- [i1]Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Ramon Winterhalder:
How to GAN away Detector Effects. CoRR abs/1912.00477 (2019)
Coauthor Index
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