Marc’Aurelio Ranzato

National Institutes of Health — United States

Computer Science · Physical Sciences

52h-index26.2kcitations110works5.52yr avg
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Research Topics

Topic Modeling(43), Natural Language Processing Techniques(32), Domain Adaptation and Few-Shot Learning(25), Multimodal Machine Learning Applications(22), Neural Networks and Applications(11)

Publications110 total

Defending the foundation model view of infant development
Trends in Cognitive Sciences·2025
Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch
arXiv (Cornell University)·2025Open Access
Mutational Signature Refitting on Sparse Pan-Cancer Data
Dagstuhl Research Online Publication Server·2025· 7 citedOpen Access
Helpless infants are learning a foundation model
Trends in Cognitive Sciences·2024· 26 citedOpen Access
DiPaCo: Distributed Path Composition
arXiv (Cornell University)·2024Open Access
Asynchronous Local-SGD Training for Language Modeling
arXiv (Cornell University)·2024Open Access
DiLoCo: Distributed Low-Communication Training of Language Models
arXiv (Cornell University)·2023· 7 citedOpen Access
Towards Robust and Efficient Continual Language Learning
arXiv (Cornell University)·2023· 1 citedOpen Access
Towards Compute-Optimal Transfer Learning
arXiv (Cornell University)·2023· 2 citedOpen Access
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
arXiv (Cornell University)·2022· 3 citedOpen Access
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
arXiv (Cornell University)·2022Open Access
Towards Learning Universal Hyperparameter Optimizers with Transformers
arXiv (Cornell University)·2022· 19 citedOpen Access
The <scp>Flores-101</scp> Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
Transactions of the Association for Computational Linguistics·2022· 171 citedOpen Access
On Anytime Learning at Macroscale
arXiv (Cornell University)·2021Open Access
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
arXiv (Cornell University)·2021· 82 citedOpen Access
The Source-Target Domain Mismatch Problem in Machine Translation
2021· 7 citedOpen Access
Residual Energy-Based Models for Text
Journal of Machine Learning Research·2021· 1 cited
Discriminative Reranking for Neural Machine Translation
2021· 22 citedOpen Access
Discriminative Reranking for Neural Machine Translation
Open MIND·2021
Efficient Continual Learning with Modular Networks and Task-Driven Priors
arXiv (Cornell University)·2020· 29 citedOpen Access
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Frequent Co-authors

Yann LeCun(7), Sumit Chopra(7), Guillaume Lample(7), Ludovic Denoyer(6), Alexis Conneau(5), Myle Ott(5), Geoffrey E. Hinton(5), Greg S. Corrado(4), Y-Lan Boureau(4), Michael Auli(4), Arslan Chaudhry(4), Marcus Rohrbach(4), Mohamed Elhoseiny(4), Rajat Monga(3), Matthieu Devin(3), Quoc V. Le(3), Andrew Y. Ng(3), Jeff Dean(3), Arthur Szlam(3), Koray Kavukcuoglu(3)