Alexander Ku
Alexander Ku
Google DeepMind, Princeton University
Verified email at - Homepage
Cited by
Cited by
Image Transformer
N Parmar, A Vaswani, J Uszkoreit, £ Kaiser, N Shazeer, A Ku, D Tran
Proceedings of the 35th International Conference on Machine Learning, 2018
A universal SNP and small-indel variant caller using deep neural networks
R Poplin, PC Chang, D Alexander, S Schwartz, T Colthurst, A Ku, ...
Nature biotechnology 36 (10), 983-987, 2018
Scaling autoregressive models for content-rich text-to-image generation
J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ...
Transactions on Machine Learning Research, 2022
Vector-quantized image modeling with improved vqgan
J Yu, X Li, JY Koh, H Zhang, R Pang, J Qin, A Ku, Y Xu, J Baldridge, Y Wu
The Tenth International Conference on Learning Representations, 2021
Room-across-room: Multilingual vision-and-language navigation with dense spatiotemporal grounding
A Ku, P Anderson, R Patel, E Ie, J Baldridge
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
V Jain, G Magalhaes, A Ku, A Vaswani, E Ie, J Baldridge
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
General evaluation for instruction conditioned navigation using dynamic time warping
G Magalhaes, V Jain, A Ku, E Ie, J Baldridge
Advances in Neural Information Processing Systems Workshop on Visually …, 2019
Transferable representation learning in vision-and-language navigation
H Huang, V Jain, H Mehta, A Ku, G Magalhaes, J Baldridge, E Ie
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
On the evaluation of vision-and-language navigation instructions
M Zhao, P Anderson, V Jain, S Wang, A Ku, J Baldridge, E Ie
Proceedings of the 16th Conference of the European Chapter of the …, 2021
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning
A Kamath, P Anderson, S Wang, JY Koh, A Ku, A Waters, Y Yang, ...
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023, 2022
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
Z Wang, A Ku, J Baldridge, TL Griffiths, B Kim
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Capturing human category representations by sampling in deep feature spaces
JC Peterson, JW Suchow, K Aghi, AY Ku, TL Griffiths
Proceedings of the 40th Annual Meeting of the Cognitive Science Society …, 2018
DOCCI: Descriptions of Connected and Contrasting Images
Y Onoe, S Rane, Z Berger, Y Bitton, J Cho, R Garg, A Ku, Z Parekh, ...
arXiv preprint arXiv:2404.19753, 2024
Pangea: The panoramic graph environment annotation toolkit
A Ku, P Anderson, J Pont-Tuset, J Baldridge
Proceedings of the Second Workshop on Advances in Language and Vision Research, 2021
Prompt expansion for adaptive text-to-image generation
S Datta, A Ku, D Ramachandran, P Anderson
arXiv preprint arXiv:2312.16720, 2023
Sampling from object and scene representations using deep feature spaces
J Peterson, K Aghi, J Suchow, A Ku, T Griffiths
Journal of Vision 18 (10), 403-403, 2018
Neural Networks for irregularly observed continuous-time Stochastic Processes
FW Belletti, A Ku, JE Gonzalez
Vector-Quantized Image Modeling
YU Jiahui, X Li, H Zhang, V Vasudevan, AYS Ku, JM Baldridge, Y Xu, ...
US Patent App. 18/520,083, 2024
Can Generative Multimodal Models Count to Ten?
S Rane, A Ku, J Baldridge, I Tenney, T Griffiths, B Kim
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024
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Articles 1–19