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Jacob Austin
Jacob Austin
Researcher, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
52252023
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22362023
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
15102023
Program synthesis with large language models
J Austin, A Odena, M Nye, M Bosma, H Michalewski, D Dohan, E Jiang, ...
arXiv preprint arXiv:2108.07732, 2021
13272021
Structured denoising diffusion models in discrete state-spaces
J Austin, DD Johnson, J Ho, D Tarlow, R Van Den Berg
Advances in Neural Information Processing Systems 34, 17981-17993, 2021
7572021
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
7462024
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
7202024
Show your work: Scratchpads for intermediate computation with language models
M Nye, AJ Andreassen, G Gur-Ari, H Michalewski, J Austin, D Bieber, ...
arXiv preprint arXiv:2112.00114, 2021
5502021
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
1552023
Language model cascades
D Dohan, W Xu, A Lewkowycz, J Austin, D Bieber, RG Lopes, Y Wu, ...
arXiv preprint arXiv:2207.10342, 2022
792022
PaLM 2 Technical Report; 2023
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
512023
Titan: A parallel asynchronous library for multi-agent and soft-body robotics using nvidia cuda
J Austin, R Corrales-Fatou, S Wyetzner, H Lipson
2020 IEEE International Conference on Robotics and Automation (ICRA), 7754-7760, 2020
262020
Measuring the impact of programming language distribution
G Orlanski, K Xiao, X Garcia, J Hui, J Howland, J Malmaud, J Austin, ...
International Conference on Machine Learning, 26619-26645, 2023
212023
Beyond in-place corruption: Insertion and deletion in denoising probabilistic models
DD Johnson, J Austin, R Berg, D Tarlow
arXiv preprint arXiv:2107.07675, 2021
182021
Resolving Code Review Comments with Machine Learning
A Frömmgen, J Austin, P Choy, N Ghelani, L Kharatyan, G Surita, ...
Proceedings of the 46th International Conference on Software Engineering …, 2024
92024
Large vacuum flux surfaces generated by tilted planar coils
JL Li, J Austin, KC Hammond, BY Israeli, FA Volpe
Plasma physics and controlled fusion 61 (7), 075005, 2019
32019
Machine-learned models for generating code snippets with predicted placeholders for optimizing software development
DDW Johnson, DS Tarlow, M Tabachnyk, MH Rasi, J Austin, ...
US Patent App. 18/618,371, 2024
2024
Machine-learned models for generating code snippets with predicted placeholders for optimizing software development
DDW Johnson, DS Tarlow, M Tabachnyk, MH Rasi, J Austin, ...
US Patent 11,972,234, 2024
2024
Prompting Machine-Learned Models Using Chains of Thought
JW Wei, D Zhou, DE Schuurmans, QV Le, MP Bosma, EHH Chi, ...
US Patent App. 17/881,746, 2023
2023
Using Chains of Thought to Prompt Machine-Learned Models Pre-Trained on Diversified Objectives
JW Wei, D Zhou, X Wang, DE Schuurmans, QV Le, MP Bosma, EHH Chi, ...
US Patent App. 18/160,776, 2023
2023
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