Yannic Kilcher

According to our database, Yannic Kilcher authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick

CoRR, 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, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FIGARO: Controllable Music Generation using Learned and Expert Features.

Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Boosting Search Engines with Interactive Agents.

Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain

Trans. Mach. Learn. Res., 2022

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control.

Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hoffman

CoRR, 2022

2021

Navigating the Latent Spaces of Deep Neural Networks using Adversarial Techniques.

Yannic Kilcher

PhD thesis, 2021

Boosting Search Engines with Interactive Agents.

Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher

CoRR, 2021

Generative Minimization Networks: Training GANs Without Competition.

Paulina Grnarova, Yannic Kilcher, Kfir Y. Levy, Aurélien Lucchi, Thomas Hofmann

CoRR, 2021

2020

Adversarial Training is a Form of Data-dependent Operator Norm Regularization.

Kevin Roth, Yannic Kilcher, Thomas Hofmann

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

How does BERT capture semantics? A closer look at polysemous words.

David Yenicelik, Florian Schmidt, Yannic Kilcher

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

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, Lierni Sestorain Saralegu

CoRR, 2019

Adversarial Training Generalizes Data-dependent Spectral Norm Regularization.

Kevin Roth, Yannic Kilcher, Thomas Hofmann

CoRR, 2019

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples.

Kevin Roth, Yannic Kilcher, Thomas Hofmann

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Semantic Interpolation in Implicit Models.

Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels.

Yannic Kilcher, Thomas Hofmann

CoRR, 2017

Parametrizing filters of a CNN with a GAN.

Yannic Kilcher, Gary Bécigneul, Thomas Hofmann

CoRR, 2017

Flexible Prior Distributions for Deep Generative Models.

Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann

CoRR, 2017

Generator Reversal.

Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann

CoRR, 2017

2016

Scalable Adaptive Stochastic Optimization Using Random Projections.

Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Audio Based Bird Species Identification using Deep Learning Techniques.

Elias Sprengel, Martin Jaggi, Yannic Kilcher, Thomas Hofmann

Proceedings of the Working Notes of CLEF 2016, 2016