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Azade Nova
Azade Nova
Altri nomiAzade Nazi
Research Scientist at Google DeepMind
Email verificata su google.com - Home page
Titolo
Citata da
Citata da
Anno
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
9722024
A graph placement methodology for fast chip design
A Mirhoseini, A Goldie, M Yazgan, JW Jiang, E Songhori, S Wang, YJ Lee, ...
Nature 594 (7862), 207-212, 2021
721*2021
Using deep learning to enhance cancer diagnosis and classification
R Fakoor, F Ladhak, A Nazi, M Huber
The 30th International Conference on Machine Learning (ICML 2013), WHEALTH …, 2013
6782013
Chip placement with deep reinforcement learning
A Mirhoseini, A Goldie, M Yazgan, J Jiang, E Songhori, S Wang, YJ Lee, ...
arXiv preprint arXiv:2004.10746, 2020
2662020
Selectivity estimation for range predicates using lightweight models
A Dutt, C Wang, A Nazi, S Kandula, V Narasayya, S Chaudhuri
Proceedings of the VLDB Endowment 12 (9), 1044-1057, 2019
229*2019
Teaching algorithmic reasoning via in-context learning
H Zhou, A Nova, H Larochelle, A Courville, B Neyshabur, H Sedghi
arXiv preprint arXiv:2211.09066, 2022
108*2022
Many-shot in-context learning
R Agarwal, A Singh, LM Zhang, B Bohnet, L Rosias, S Chan, B Zhang, ...
arXiv preprint arXiv:2404.11018, 2024
88*2024
Beyond human data: Scaling self-training for problem-solving with language models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, X Garcia, PJ Liu, ...
arXiv preprint arXiv:2312.06585, 2023
842023
Scalable deep generative modeling for sparse graphs
H Dai, A Nazi, Y Li, B Dai, D Schuurmans
International conference on machine learning, 2302-2312, 2020
812020
Gap: Generalizable approximate graph partitioning framework
A Nazi, W Hang, A Goldie, S Ravi, A Mirhoseini
arXiv preprint arXiv:1903.00614, 2019
802019
Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative
A Asudeh, A Nazi, N Zhang, G Das
Proceedings of the 2017 International Conference on Management of Data (SIGMOD), 2017
572017
Walk, Not Wait: Faster Sampling Over Online Social Networks
A Nazi, Z Zhou, S Thirumuruganathan, N Zhang, G Das
http://arxiv.org/abs/1410.7833, 2014
402014
An integrated cloud-based framework for mobile phone sensing
R Fakoor, M Raj, A Nazi, M Di Francesco, SK Das
Proceedings of the first edition of the MCC workshop on Mobile cloud …, 2012
352012
Deployment of robust wireless sensor networks using gene regulatory networks: An isomorphism-based approach
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
Pervasive and Mobile Computing 13, 246-257, 2014
302014
RRR: Rank-regret representative
A Asudeh, A Nazi, N Zhang, G Das, HV Jagadish
Proceedings of the 2019 International Conference on Management of Data, 263-280, 2019
29*2019
Efficient estimation of inclusion coefficient using hyperloglog sketches
A Nazi, B Ding, V Narasayya, S Chaudhuri
Proceedings of the VLDB Endowment 11 (10), 1097-1109, 2018
222018
Efficient communications in wireless sensor networks based on biological robustness
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
2016 International Conference on Distributed Computing in Sensor Systems …, 2016
222016
Robust deployment of wireless sensor networks using gene regulatory networks
A Nazi, M Raj, M Di Francesco, P Ghosh, SK Das
Distributed Computing and Networking: 14th International Conference, ICDCN …, 2013
222013
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
HS Zheng, S Mishra, H Zhang, X Chen, M Chen, A Nova, L Hou, ...
arXiv preprint arXiv:2406.04520, 2024
18*2024
Revisiting sampling for combinatorial optimization
H Sun, K Goshvadi, A Nova, D Schuurmans, H Dai
International Conference on Machine Learning, 32859-32874, 2023
172023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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