Yannic Kilcher

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 22

Top Topics

Random Projections

Generative Model

Meta Search Engine

Top Venues

BlackboxNLP@EMNLP

Publications

Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann
FIGARO: Controllable Music Generation using Learned and Expert Features. ICLR (2023)
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, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick
OpenAssistant Conversations - Democratizing Large Language Model Alignment. NeurIPS (2023)
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, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick
OpenAssistant Conversations - Democratizing Large Language Model Alignment. CoRR (2023)
Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain
Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. 2022 (2022)
Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hoffman
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control. CoRR (2022)
Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher
Boosting Search Engines with Interactive Agents. CoRR (2021)
Paulina Grnarova, Yannic Kilcher, Kfir Y. Levy, Aurélien Lucchi, Thomas Hofmann
Generative Minimization Networks: Training GANs Without Competition. CoRR (2021)
David Yenicelik, Florian Schmidt, Yannic Kilcher
How does BERT capture semantics? A closer look at polysemous words. BlackboxNLP@EMNLP (2020)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
Adversarial Training is a Form of Data-dependent Operator Norm Regularization. NeurIPS (2020)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. ICML (2019)
Benjamin Börschinger, Jordan L. Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu
Meta Answering for Machine Reading. CoRR (2019)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. CoRR (2019)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
Adversarial Training Generalizes Data-dependent Spectral Norm Regularization. CoRR (2019)
Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
Semantic Interpolation in Implicit Models. ICLR (Poster) (2018)
Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
Flexible Prior Distributions for Deep Generative Models. CoRR (2017)
Yannic Kilcher, Thomas Hofmann
The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels. CoRR (2017)
Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
Semantic Interpolation in Implicit Models. CoRR (2017)
Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
Generator Reversal. CoRR (2017)
Yannic Kilcher, Gary Bécigneul, Thomas Hofmann
Parametrizing filters of a CNN with a GAN. CoRR (2017)
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen
Scalable Adaptive Stochastic Optimization Using Random Projections. NIPS (2016)
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen
Scalable Adaptive Stochastic Optimization Using Random Projections. CoRR (2016)
Elias Sprengel, Martin Jaggi, Yannic Kilcher, Thomas Hofmann
Audio Based Bird Species Identification using Deep Learning Techniques. CLEF (Working Notes) (2016)