Koen Oostermeijer

11 papers A* 2A 1Misc 1Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Family of LLMs Liberated from Static Vocabularies.
CoRR
Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Björn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Grégory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan Wäldchen, Samuel Weinbach, Gregor Ziegltrum
2024 A* conf
Quality-Diversity through AI Feedback.
ICLR
Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2024 J jnl
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models.
CoRR
Alex Havrilla, Andrew Dai, Laura O'Mahony, Koen Oostermeijer, Vera Zisler, Alon Albalak, Fabrizio Milo, Sharath Chandra Raparthy, Kanishk Gandhi, Baber Abbasi, Duy Phung, Maia Iyer, Dakota Mahan, Chase Blagden, Srishti Gureja, Mohammed Hamdy, Wen-Ding Li, Giovanni Paolini, Pawan Sasanka Ammanamanchi, Elliot Meyerson
2023 A* conf
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation.
NeurIPS
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
2023 J jnl
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation.
CoRR
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
2023 J jnl
Quality-Diversity through AI Feedback.
CoRR
Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2022 J jnl
M-VADER: A Model for Diffusion with Multimodal Context.
CoRR
Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andrés Felipe Cruz-Salinas
2021 A conf
Lightweight Causal Transformer with Local Self-Attention for Real-Time Speech Enhancement.
Interspeech
Koen Oostermeijer, Qing Wang, Jun Du
2021 Misc conf
Speech Enhancement Autoencoder with Hierarchical Latent Structure.
ICASSP
Koen Oostermeijer, Jun Du, Qing Wang, Chin-Hui Lee
2020 — conf
Frequency Gating: Improved Convolutional Neural Networks for Speech Enhancement in the Time-Frequency Domain.
APSIPA
Koen Oostermeijer, Qing Wang, Jun Du
2020 J jnl
Frequency Gating: Improved Convolutional Neural Networks for Speech Enhancement in the Time-Frequency Domain.
CoRR
Koen Oostermeijer, Qing Wang, Jun Du