DNN acoustic modeling with modular multi-lingual feature extraction networks. - Jonas Gehring; Quoc Bao Nguyen; Florian Metze; Alex Waibel (ASRU, 2013)

Models of tone for tonal and non-tonal languages. - Florian Metze; Zaid Sheikh; Alex Waibel; Jonas Gehring; Kevin Kilgour; Quoc Bao Nguyen; Van Huy Nguyen (ASRU, 2013)

Extracting deep bottleneck features using stacked auto-encoders. - Jonas Gehring; Yajie Miao; Florian Metze; Alex Waibel (ICASSP, 2013)

Modular combination of deep neural networks for acoustic modeling. - Jonas Gehring; Wonkyum Lee; Kevin Kilgour; Ian R. Lane; Yajie Miao; Alex Waibel (INTERSPEECH, 2013)

Slightly Supervised Adaptation of Acoustic Models on Captioned BBC Weather Forecasts. - Christian Mohr; Christian Saam; Kevin Kilgour; Jonas Gehring; Sebastian Stüker; Alex Waibel (SLAM@INTERSPEECH, 2013)

The 2013 KIT IWSLT speech-to-text systems for German and English. - Kevin Kilgour; Christian Mohr; Michael Heck; Quoc Bao Nguyen; Van Huy Nguyen; Evgeniy Shin; Igor Tseyzer; Jonas Gehring; Markus Müller 001; Matthias Sperber; Sebastian Stüker; Alex Waibel (IWSLT (Evaluation Campaign), 2013)

The 2013 KIT Quaero speech-to-text system for French. - Joshua Winebarger; Quoc Bao Nguyen; Jonas Gehring; Sebastian Stüker; Alex Waibel (IWSLT, 2013)

Optimizing deep bottleneck feature extraction. - Quoc Bao Nguyen; Jonas Gehring; Kevin Kilgour; Alex Waibel (RIVF, 2013)

Segmentation of Telephone Speech Based on Speech and Non-speech Models. - Michael Heck; Christian Mohr; Sebastian Stüker; Markus Müller 001; Kevin Kilgour; Jonas Gehring; Quoc Bao Nguyen; Van Huy Nguyen; Alex Waibel (SPECOM, 2013)

Multilingual shifting deep bottleneck features for low-resource ASR. - Quoc Bao Nguyen; Jonas Gehring; Markus Müller 001; Sebastian Stüker; Alex Waibel (ICASSP, 2014)

A Convolutional Encoder Model for Neural Machine Translation. - Jonas Gehring; Michael Auli; David Grangier; Yann N. Dauphin (ACL (1), 2017)

STARDATA: A StarCraft AI Research Dataset. - Zeming Lin; Jonas Gehring; Vasil Khalidov; Gabriel Synnaeve (AIIDE, 2017)

Convolutional Sequence to Sequence Learning. - Jonas Gehring; Michael Auli; David Grangier; Denis Yarats; Yann N. Dauphin (ICML, 2017)

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. - Gabriel Synnaeve; Zeming Lin; Jonas Gehring; Daniel Gant; Vegard Mella; Vasil Khalidov; Nicolas Carion; Nicolas Usunier (NeurIPS, 2018)

High-Level Strategy Selection under Partial Observability in StarCraft: Brood War. - Jonas Gehring; Da Ju; Vegard Mella; Daniel Gant; Nicolas Usunier; Gabriel Synnaeve (CoRR, 2018)

Hierarchical Skills for Efficient Exploration. - Jonas Gehring; Gabriel Synnaeve; Andreas Krause 001; Nicolas Usunier (NeurIPS, 2021)

Code Llama: Open Foundation Models for Code. - Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Sten Sootla; Itai Gat; Xiaoqing Ellen Tan; Yossi Adi; Jingyu Liu; Tal Remez; Jérémy Rapin; Artyom Kozhevnikov; Ivan Evtimov; et al. (CoRR, 2023)

Large Language Models for Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Mostafa Elhoushi; Youwei Liang; Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Kim M. Hazelwood; Gabriel Synnaeve; Hugh Leather (CoRR, 2023)

Leveraging Demonstrations with Latent Space Priors. - Jonas Gehring; Deepak Gopinath; Jungdam Won; Andreas Krause 001; Gabriel Synnaeve; Nicolas Usunier (Trans. Mach. Learn. Res., 2023)

The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. - Michael Hassid; Tal Remez; Jonas Gehring; Roy Schwartz 001; Yossi Adi (CoRR, 2024)

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Baptiste Rozière; Jonas Gehring; Gabriel Synnaeve; Hugh Leather (CoRR, 2024)

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning. - Jonas Gehring; Kunhao Zheng; Jade Copet; Vegard Mella; Taco Cohen; Gabriel Synnaeve (CoRR, 2024)

What Makes Large Language Models Reason in (Multi-Turn) Code Generation? - Kunhao Zheng; Juliette Decugis; Jonas Gehring; Taco Cohen; Benjamin Négrevergne; Gabriel Synnaeve (CoRR, 2024)

LLM Compiler: Foundation Language Models for Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Baptiste Rozière; Jonas Gehring; Gabriel Synnaeve; Hugh Leather (CC, 2025)

The KoLMogorov Test: Compression by Code Generation. - Ori Yoran; Kunhao Zheng; Fabian Gloeckle; Jonas Gehring; Gabriel Synnaeve; Taco Cohen (ICLR, 2025)

What Makes Large Language Models Reason in (Multi-Turn) Code Generation? - Kunhao Zheng; Juliette Decugis; Jonas Gehring; Taco Cohen; Benjamin NéXuanjinggrevergne; Gabriel Synnaeve (ICLR, 2025)