Audio Based Bird Species Identification using Deep Learning Techniques. - Elias Sprengel; Martin Jaggi; Yannic Kilcher; Thomas Hofmann 001 (CLEF (Working Notes), 2016)

Scalable Adaptive Stochastic Optimization Using Random Projections. - Gabriel Krummenacher; Brian McWilliams; Yannic Kilcher; Joachim M. Buhmann; Nicolai Meinshausen (NIPS, 2016)

Generator Reversal. - Yannic Kilcher; Aurélien Lucchi; Thomas Hofmann 001 (CoRR, 2017)

Flexible Prior Distributions for Deep Generative Models. - Yannic Kilcher; Aurélien Lucchi; Thomas Hofmann 001 (CoRR, 2017)

Parametrizing filters of a CNN with a GAN. - Yannic Kilcher; Gary Bécigneul; Thomas Hofmann 001 (CoRR, 2017)

The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels. - Yannic Kilcher; Thomas Hofmann 001 (CoRR, 2017)

Semantic Interpolation in Implicit Models. - Yannic Kilcher; Aurélien Lucchi; Thomas Hofmann 001 (ICLR (Poster), 2018)

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. - Kevin Roth; Yannic Kilcher; Thomas Hofmann 001 (ICML, 2019)

Adversarial Training Generalizes Data-dependent Spectral Norm Regularization. - Kevin Roth; Yannic Kilcher; Thomas Hofmann 001 (CoRR, 2019)

Meta Answering for Machine Reading. - Benjamin Börschinger; Jordan L. Boyd-Graber; Christian Buck; Jannis Bulian; Massimiliano Ciaramita; Michelle Chen Huebscher; Wojciech Gajewski; Yannic Kilcher; Rodrigo Nogueira 001; Lierni Sestorain Saralegu (CoRR, 2019)

How does BERT capture semantics? A closer look at polysemous words. - David Yenicelik; Florian Schmidt 005; Yannic Kilcher (BlackboxNLP@EMNLP, 2020)

Adversarial Training is a Form of Data-dependent Operator Norm Regularization. - Kevin Roth; Yannic Kilcher; Thomas Hofmann 001 (NeurIPS, 2020)

Generative Minimization Networks: Training GANs Without Competition. - Paulina Grnarova; Yannic Kilcher; Kfir Y. Levy; Aurélien Lucchi; Thomas Hofmann 001 (CoRR, 2021)

Boosting Search Engines with Interactive Agents. - Leonard Adolphs; Benjamin Börschinger; Christian Buck; Michelle Chen Huebscher; Massimiliano Ciaramita; Lasse Espeholt; Thomas Hofmann 001; Yannic Kilcher (CoRR, 2021)

Navigating the Latent Spaces of Deep Neural Networks using Adversarial Techniques. - Yannic Kilcher (2021)

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control. - Dimitri von Rütte; Luca Biggio; Yannic Kilcher; Thomas Hoffman (CoRR, 2022)

Boosting Search Engines with Interactive Agents. - Leonard Adolphs; Benjamin Börschinger; Christian Buck; Michelle Chen Huebscher; Massimiliano Ciaramita; Lasse Espeholt; Thomas Hofmann 001; Yannic Kilcher; Sascha Rothe; Pier Giuseppe Sessa; Lierni Sestorain (Trans. Mach. Learn. Res., 2022)

FIGARO: Controllable Music Generation using Learned and Expert Features. - Dimitri von Rütte; Luca Biggio; Yannic Kilcher; Thomas Hofmann 001 (ICLR, 2023)

OpenAssistant Conversations - Democratizing Large Language Model Alignment. - Andreas Köpf; Yannic Kilcher; Dimitri von Rütte; Sotiris Anagnostidis; Zhi Rui Tam; Keith Stevens; Abdullah Barhoum; Duc Nguyen; Oliver Stanley; Richárd Nagyfi; Shahul ES; Sameer Suri; et al. (NeurIPS, 2023)

OpenAssistant Conversations - Democratizing Large Language Model Alignment. - Andreas Köpf; Yannic Kilcher; Dimitri von Rütte; Sotiris Anagnostidis; Zhi Rui Tam; Keith Stevens; Abdullah Barhoum; Nguyen Minh Duc; Oliver Stanley; Richárd Nagyfi; Shahul ES; Sameer Suri; et al. (CoRR, 2023)