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2020 – today
- 2024
[j8]Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski:
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)- [c73]Dejan Grubisic
, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins:
Priority Sampling of Large Language Models for Compilers. EuroMLSys@EuroSys 2024: 91-97 - [c72]Alon Ziv, Itai Gat, Gaël Le Lan, Tal Remez, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Yossi Adi:
Masked Audio Generation using a Single Non-Autoregressive Transformer. ICLR 2024 - [c71]Gautier Dagan, Gabriel Synnaeve, Baptiste Rozière:
Getting the most out of your tokenizer for pre-training and domain adaptation. ICML 2024 - [c70]Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Rozière, David Lopez-Paz, Gabriel Synnaeve:
Better & Faster Large Language Models via Multi-token Prediction. ICML 2024 - [c69]Alex Gu, Baptiste Rozière, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang:
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. ICML 2024 - [i87]Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang:
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. CoRR abs/2401.03065 (2024) - [i86]Alon Ziv, Itai Gat, Gaël Le Lan, Tal Remez, Felix Kreuk, Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi:
Masked Audio Generation using a Single Non-Autoregressive Transformer. CoRR abs/2401.04577 (2024) - [i85]Gautier Dagan, Gabriel Synnaeve, Baptiste Rozière:
Getting the most out of your tokenizer for pre-training and domain adaptation. CoRR abs/2402.01035 (2024) - [i84]Tu Anh Nguyen, Benjamin Muller, Bokai Yu, Marta R. Costa-jussà, Maha Elbayad, Sravya Popuri, Paul-Ambroise Duquenne, Robin Algayres, Ruslan Mavlyutov, Itai Gat, Gabriel Synnaeve, Juan Pino, Benoît Sagot, Emmanuel Dupoux:
SpiRit-LM: Interleaved Spoken and Written Language Model. CoRR abs/2402.05755 (2024) - [i83]Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Rozière, David Lopez-Paz, Gabriel Synnaeve:
Better & Faster Large Language Models via Multi-token Prediction. CoRR abs/2404.19737 (2024) - [i82]Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather:
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization. CoRR abs/2407.02524 (2024) - [i81]Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman:
Discrete Flow Matching. CoRR abs/2407.15595 (2024) - [i80]Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - [i79]Kush Jain, Gabriel Synnaeve, Baptiste Rozière:
TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark. CoRR abs/2410.00752 (2024) - [i78]Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen, Gabriel Synnaeve:
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning. CoRR abs/2410.02089 (2024) - [i77]John Yang, Carlos E. Jimenez, Alex L. Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik R. Narasimhan, Diyi Yang, Sida I. Wang, Ofir Press:
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? CoRR abs/2410.03859 (2024) - [i76]Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Négrevergne, Gabriel Synnaeve:
What Makes Large Language Models Reason in (Multi-Turn) Code Generation? CoRR abs/2410.08105 (2024) - 2023
- [j7]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5314-5321 (2023) - [j6]Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi:
High Fidelity Neural Audio Compression. Trans. Mach. Learn. Res. 2023 (2023) - [j5]Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier:
Leveraging Demonstrations with Latent Space Priors. Trans. Mach. Learn. Res. 2023 (2023) - [c68]Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
A Data Source for Reasoning Embodied Agents. AAAI 2023: 8438-8446 - [c67]Robin Algayres, Yossi Adi, Tu Anh Nguyen, Jade Copet, Gabriel Synnaeve, Benoît Sagot, Emmanuel Dupoux:
Generative Spoken Language Model based on continuous word-sized audio tokens. EMNLP 2023: 3008-3028 - [c66]Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi:
AudioGen: Textually Guided Audio Generation. ICLR 2023 - [c65]Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve:
Code Translation with Compiler Representations. ICLR 2023 - [c64]Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarandi, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi, Emmanuel Dupoux:
Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. INTERSPEECH 2023: 4823-4827 - [c63]Itai Gat, Felix Kreuk, Tu Anh Nguyen, Ann Lee, Jade Copet, Gabriel Synnaeve, Emmanuel Dupoux, Yossi Adi:
Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling. IWSLT@ACL 2023: 465-477 - [c62]Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez:
Simple and Controllable Music Generation. NeurIPS 2023 - [c61]Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi:
Textually Pretrained Speech Language Models. NeurIPS 2023 - [c60]Robin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Défossez:
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion. NeurIPS 2023 - [i75]Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski:
DINOv2: Learning Robust Visual Features without Supervision. CoRR abs/2304.07193 (2023) - [i74]Ruba Mutasim, Gabriel Synnaeve, David Pichardie, Baptiste Rozière:
Leveraging Static Analysis for Bug Repair. CoRR abs/2304.10379 (2023) - [i73]Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi:
Textually Pretrained Speech Language Models. CoRR abs/2305.13009 (2023) - [i72]Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez:
Simple and Controllable Music Generation. CoRR abs/2306.05284 (2023) - [i71]Robin San-Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Défossez:
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion. CoRR abs/2308.02560 (2023) - [i70]Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarandi, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi, Emmanuel Dupoux:
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. CoRR abs/2308.05725 (2023) - [i69]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, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve:
Code Llama: Open Foundation Models for Code. CoRR abs/2308.12950 (2023) - [i68]Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather:
Large Language Models for Compiler Optimization. CoRR abs/2309.07062 (2023) - [i67]Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
A Data Source for Reasoning Embodied Agents. CoRR abs/2309.07974 (2023) - [i66]Robin Algayres, Yossi Adi, Tu Anh Nguyen, Jade Copet, Gabriel Synnaeve, Benoît Sagot, Emmanuel Dupoux:
Generative Spoken Language Model based on continuous word-sized audio tokens. CoRR abs/2310.05224 (2023) - [i65]Manish Bhatt, Sahana Chennabasappa, Cyrus Nikolaidis, Shengye Wan, Ivan Evtimov, Dominik Gabi, Daniel Song, Faizan Ahmad, Cornelius Aschermann, Lorenzo Fontana, Sasha Frolov, Ravi Prakash Giri, Dhaval Kapil, Yiannis Kozyrakis, David LeBlanc, James Milazzo, Aleksandar Straumann, Gabriel Synnaeve, Varun Vontimitta, Spencer Whitman, Joshua Saxe:
Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models. CoRR abs/2312.04724 (2023) - 2022
- [j4]Alexandre Défossez, Yossi Adi, Gabriel Synnaeve:
Differentiable Model Compression via Pseudo Quantization Noise. Trans. Mach. Learn. Res. 2022 (2022) - [c59]Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Word Order does not Matter for Speech Recognition. ICASSP 2022: 7202-7206 - [c58]Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. ICASSP 2022: 7687-7691 - [c57]Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample:
Leveraging Automated Unit Tests for Unsupervised Code Translation. ICLR 2022 - [c56]Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve:
Gradient Matching for Domain Generalization. ICLR 2022 - [c55]Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. ICML 2022: 10557-10574 - [c54]Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert:
Star Temporal Classification: Sequence Modeling with Partially Labeled Data. NeurIPS 2022 - [i64]Vineel Pratap, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Star Temporal Classification: Sequence Classification with Partially Labeled Data. CoRR abs/2201.12208 (2022) - [i63]Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. CoRR abs/2201.12465 (2022) - [i62]Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve:
Code Translation with Compiler Representations. CoRR abs/2207.03578 (2022) - [i61]Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi:
AudioGen: Textually Guided Audio Generation. CoRR abs/2209.15352 (2022) - [i60]Itai Gat, Felix Kreuk, Ann Lee, Jade Copet, Gabriel Synnaeve, Emmanuel Dupoux, Yossi Adi:
On The Robustness of Self-Supervised Representations for Spoken Language Modeling. CoRR abs/2209.15483 (2022) - [i59]Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi:
High Fidelity Neural Audio Compression. CoRR abs/2210.13438 (2022) - [i58]Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier:
Leveraging Demonstrations with Latent Space Priors. CoRR abs/2210.14685 (2022) - [i57]Felix Kreuk, Yaniv Taigman, Adam Polyak, Jade Copet, Gabriel Synnaeve, Alexandre Défossez, Yossi Adi:
Audio Language Modeling using Perceptually-Guided Discrete Representations. CoRR abs/2211.01223 (2022) - [i56]Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood:
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning. CoRR abs/2212.11353 (2022) - 2021
- [c53]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-Training and Pre-Training are Complementary for Speech Recognition. ICASSP 2021: 3030-3034 - [c52]Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC And CTC Training For ASR. ICASSP 2021: 3045-3049 - [c51]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. ICCV 2021: 32-42 - [c50]Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion:
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. ICCV 2021: 1760-1770 - [c49]Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve:
Rethinking Evaluation in ASR: Are Our Models Robust Enough? Interspeech 2021: 311-315 - [c48]Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. Interspeech 2021: 721-725 - [c47]Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert:
slimIPL: Language-Model-Free Iterative Pseudo-Labeling. Interspeech 2021: 741-745 - [c46]Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier:
Hierarchical Skills for Efficient Exploration. NeurIPS 2021: 11553-11564 - [c45]Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov:
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. NeurIPS 2021: 16079-16092 - [c44]Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
XCiT: Cross-Covariance Image Transformers. NeurIPS 2021: 20014-20027 - [c43]Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve, Awni Y. Hannun:
Semi-Supervised end-to-end Speech Recognition via Local Prior Matching. SLT 2021: 125-132 - [c42]Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, Emmanuel Dupoux:
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. SLT 2021: 215-222 - [i55]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. CoRR abs/2103.17239 (2021) - [i54]Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. CoRR abs/2104.01027 (2021) - [i53]Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve:
Gradient Matching for Domain Generalization. CoRR abs/2104.09937 (2021) - [i52]Alexandre Défossez, Yossi Adi, Gabriel Synnaeve:
Differentiable Model Compression via Pseudo Quantization Noise. CoRR abs/2104.09987 (2021) - [i51]Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion:
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. CoRR abs/2104.12763 (2021) - [i50]Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR abs/2105.03404 (2021) - [i49]Tatiana Likhomanenko, Qiantong Xu, Ronan Collobert, Gabriel Synnaeve, Alex Rogozhnikov:
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. CoRR abs/2106.03143 (2021) - [i48]Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
XCiT: Cross-Covariance Image Transformers. CoRR abs/2106.09681 (2021) - [i47]Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Word Order Does Not Matter For Speech Recognition. CoRR abs/2110.05994 (2021) - [i46]Baptiste Rozière, Jie M. Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample:
Leveraging Automated Unit Tests for Unsupervised Code Translation. CoRR abs/2110.06773 (2021) - [i45]Morgane Rivière, Jade Copet, Gabriel Synnaeve:
ASR4REAL: An extended benchmark for speech models. CoRR abs/2110.08583 (2021) - [i44]Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier:
Hierarchical Skills for Efficient Exploration. CoRR abs/2110.10809 (2021) - [i43]Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. CoRR abs/2111.00161 (2021) - [i42]Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou:
Augmenting Convolutional networks with attention-based aggregation. CoRR abs/2112.13692 (2021) - 2020
- [j3]Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko:
Polygames: Improved zero learning. J. Int. Comput. Games Assoc. 42(4): 244-256 (2020) - [c41]Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. ECCV (1) 2020: 213-229 - [c40]Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig:
DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks. ICASSP 2020: 6899-6903 - [c39]Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. ICASSP 2020: 7669-7673 - [c38]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
Word-Level Speech Recognition With a Letter to Word Encoder. ICML 2020: 2100-2110 - [c37]Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve:
Growing Action Spaces. ICML 2020: 3040-3051 - [c36]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. INTERSPEECH 2020: 1006-1010 - [c35]Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert:
MLS: A Large-Scale Multilingual Dataset for Speech Research. INTERSPEECH 2020: 2757-2761 - [c34]Alexandre Défossez, Gabriel Synnaeve, Yossi Adi:
Real Time Speech Enhancement in the Waveform Domain. INTERSPEECH 2020: 3291-3295 - [c33]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. INTERSPEECH 2020: 3376-3380 - [c32]Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig:
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model. INTERSPEECH 2020: 3650-3654 - [c31]Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. INTERSPEECH 2020: 4751-4755 - [i41]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. CoRR abs/2001.09727 (2020) - [i40]Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko:
Polygames: Improved Zero Learning. CoRR abs/2001.09832 (2020) - [i39]Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve, Awni Y. Hannun:
Semi-Supervised Speech Recognition via Local Prior Matching. CoRR abs/2002.10336 (2020) - [i38]Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig:
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model. CoRR abs/2005.07394 (2020) - [i37]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. CoRR abs/2005.09267 (2020) - [i36]Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. CoRR abs/2005.12872 (2020) - [i35]Alexandre Défossez, Gabriel Synnaeve, Yossi Adi:
Real Time Speech Enhancement in the Waveform Domain. CoRR abs/2006.12847 (2020) - [i34]Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, Emmanuel Dupoux:
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. CoRR abs/2007.00991 (2020) - [i33]Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. CoRR abs/2007.03001 (2020) - [i32]Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve:
Population Based Training for Data Augmentation and Regularization in Speech Recognition. CoRR abs/2010.03899 (2020) - [i31]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-training and Pre-training are Complementary for Speech Recognition. CoRR abs/2010.11430 (2020) - [i30]Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert:
slimIPL: Language-Model-Free Iterative Pseudo-Labeling. CoRR abs/2010.11524 (2020) - [i29]Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve:
Rethinking Evaluation in ASR: Are Our Models Robust Enough? CoRR abs/2010.11745 (2020) - [i28]Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC and CTC Training for ASR. CoRR abs/2011.00093 (2020) - [i27]Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert:
MLS: A Large-Scale Multilingual Dataset for Speech Research. CoRR abs/2012.03411 (2020)
2010 – 2019
- 2019
- [c30]Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve:
To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. ICASSP 2019: 3742-3746 - [c29]Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert:
Wav2Letter++: A Fast Open-source Speech Recognition System. ICASSP 2019: 6460-6464 - [c28]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. ICLR (Poster) 2019 - [c27]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
A fully differentiable beam search decoder. ICML 2019: 1341-1350 - [c26]Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Who Needs Words? Lexicon-Free Speech Recognition. INTERSPEECH 2019: 3915-3919 - [c25]Nicolas Carion, Nicolas Usunier, Gabriel Synnaeve, Alessandro Lazaric:
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2019: 8128-8138 - [r2]David Churchill, Mike Preuss, Florian Richoux, Gabriel Synnaeve, Alberto Uriarte, Santiago Ontañón, Michal Certický:
StarCraft Bots and Competitions. Encyclopedia of Computer Graphics and Games 2019 - [r1]Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss:
RTS AI Problems and Techniques. Encyclopedia of Computer Graphics and Games 2019 - [i26]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
A Fully Differentiable Beam Search Decoder. CoRR abs/1902.06022 (2019) - [i25]Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Who Needs Words? Lexicon-Free Speech Recognition. CoRR abs/1904.04479 (2019) - [i24]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
Word-level Speech Recognition with a Dynamic Lexicon. CoRR abs/1906.04323 (2019) - [i23]Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve:
Growing Action Spaces. CoRR abs/1906.12266 (2019) - [i22]Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston:
Why Build an Assistant in Minecraft? CoRR abs/1907.09273 (2019) - [i21]Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier:
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/1910.08809 (2019) - [i20]Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig:
Deja-vu: Double Feature Presentation in Deep Transformer Networks. CoRR abs/1910.10324 (2019) - [i19]Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert:
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR abs/1911.08460 (2019) - [i18]Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. CoRR abs/1912.07875 (2019) - 2018
- [c24]Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux:
Learning Filterbanks from Raw Speech for Phone Recognition. ICASSP 2018: 5509-5513 - [c23]Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) 2018 - [c22]Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux:
End-to-End Speech Recognition from the Raw Waveform. INTERSPEECH 2018: 781-785 - [c21]Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier:
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. NeurIPS 2018: 10761-10771 - [i17]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. CoRR abs/1805.11199 (2018) - [i16]Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux:
End-to-End Speech Recognition From the Raw Waveform. CoRR abs/1806.07098 (2018) - [i15]Jonas Gehring, Da Ju, Vegard Mella, Daniel Gant, Nicolas Usunier, Gabriel Synnaeve:
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War. CoRR abs/1811.08568 (2018) - [i14]Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier:
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. CoRR abs/1812.00054 (2018) - [i13]Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve:
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. CoRR abs/1812.03483 (2018) - [i12]Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert:
Fully Convolutional Speech Recognition. CoRR abs/1812.06864 (2018) - [i11]Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert:
wav2letter++: The Fastest Open-source Speech Recognition System. CoRR abs/1812.07625 (2018) - 2017
- [c20]David Churchill, Zeming Lin, Gabriel Synnaeve:
An Analysis of Model-Based Heuristic Search Techniques for StarCraft Combat Scenarios. AIIDE Workshops 2017 - [c19]Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve:
STARDATA: A StarCraft AI Research Dataset. AIIDE 2017: 50-56 - [c18]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. ICLR (Poster) 2017 - [i10]Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve:
STARDATA: A StarCraft AI Research Dataset. CoRR abs/1708.02139 (2017) - [i9]Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux:
Learning Filterbanks from Raw Speech for Phone Recognition. CoRR abs/1711.01161 (2017) - [i8]Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Letter-Based Speech Recognition with Gated ConvNets. CoRR abs/1712.09444 (2017) - 2016
- [j2]Gabriel Synnaeve, Pierre Bessière:
Multiscale Bayesian Modeling for RTS Games: An Application to StarCraft AI. IEEE Trans. Comput. Intell. AI Games 8(4): 338-350 (2016) - [c17]Neil Zeghidour, Gabriel Synnaeve, Maarten Versteegh, Emmanuel Dupoux:
A deep scattering spectrum - Deep Siamese network pipeline for unsupervised acoustic modeling. ICASSP 2016: 4965-4969 - [c16]Neil Zeghidour, Gabriel Synnaeve, Nicolas Usunier, Emmanuel Dupoux:
Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. INTERSPEECH 2016: 1295-1299 - [c15]Dimitri Palaz, Gabriel Synnaeve, Ronan Collobert:
Jointly Learning to Locate and Classify Words Using Convolutional Networks. INTERSPEECH 2016: 2741-2745 - [c14]Gabriel Synnaeve, Emmanuel Dupoux:
A Temporal Coherence Loss Function for Learning Unsupervised Acoustic Embeddings. SLTU 2016: 95-100 - [i7]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. CoRR abs/1609.02993 (2016) - [i6]Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve:
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System. CoRR abs/1609.03193 (2016) - [i5]Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier:
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR abs/1611.00625 (2016) - 2015
- [c13]Ewan Dunbar, Gabriel Synnaeve, Emmanuel Dupoux:
Quantitative methods for comparing featural representations. ICPhS 2015 - [c12]Roland Thiollière, Ewan Dunbar, Gabriel Synnaeve, Maarten Versteegh, Emmanuel Dupoux:
A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling. INTERSPEECH 2015: 3179-3183 - [c11]Bogdan Ludusan, Gabriel Synnaeve, Emmanuel Dupoux:
Prosodic boundary information helps unsupervised word segmentation. HLT-NAACL 2015: 953-963 - [c10]Gabriel Synnaeve, Emmanuel Dupoux:
Weakly Supervised Multi-Embeddings Learning of Acoustic Models. ICLR (Workshop) 2015 - [i4]Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus:
MazeBase: A Sandbox for Learning from Games. CoRR abs/1511.07401 (2015) - 2014
- [c9]Gabriel Synnaeve, Isabelle Dautriche, Benjamin Börschinger, Mark Johnson, Emmanuel Dupoux:
Unsupervised Word Segmentation in Context. COLING 2014: 2326-2334 - [c8]Gabriel Synnaeve, Thomas Schatz, Emmanuel Dupoux:
Phonetics embedding learning with side information. SLT 2014: 106-111 - 2013
- [j1]Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss:
A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft. IEEE Trans. Comput. Intell. AI Games 5(4): 293-311 (2013) - 2012
- [b1]Gabriel Synnaeve:
Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel. (Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI). Grenoble Alpes University, France, 2012 - [c7]Gabriel Synnaeve, Pierre Bessière:
Special tactics: A Bayesian approach to tactical decision-making. CIG 2012: 409-416 - [i3]Gabriel Synnaeve, Pierre Bessière:
A Dataset for StarCraft AI & an Example of Armies Clustering. CoRR abs/1211.4552 (2012) - 2011
- [c6]Gabriel Synnaeve, Pierre Bessière:
A Bayesian Model for Plan Recognition in RTS Games Applied to StarCraft. AIIDE 2011 - [c5]Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato:
Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology. BIOINFORMATICS 2011: 47-54 - [c4]Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato:
Discretized Kinetic Models for Abductive Reasoning in Systems Biology. BIOSTEC (Selected Papers) 2011: 141-154 - [c3]Gabriel Synnaeve, Pierre Bessière:
A Bayesian model for RTS units control applied to StarCraft. CIG 2011: 190-196 - [c2]Gabriel Synnaeve, Pierre Bessière:
A Bayesian model for opening prediction in RTS games with application to StarCraft. CIG 2011: 281-288 - [i2]Gabriel Synnaeve, Pierre Bessière:
A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft. CoRR abs/1111.3735 (2011) - 2010
- [c1]Katsumi Inoue, Andrei Doncescu, Gabriel Synnaeve, Nabil Kabbaj:
Main Pathway Discovery in Metabolic Pathways. AINA Workshops 2010: 796-801 - [i1]Gabriel Synnaeve, Pierre Bessière:
Bayesian Modeling of a Human MMORPG Player. CoRR abs/1011.5480 (2010)
Coauthor Index
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