Gamaleldin Elsayed
Gamaleldin Elsayed
Research Scientist, Google DeepMind
Adresă de e-mail confirmată pe google.com
Citat de
Citat de
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Adversarial examples that fool both computer vision and time-limited humans
G Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ...
Advances in neural information processing systems 31, 2018
Reorganization between preparatory and movement population responses in motor cortex
GF Elsayed, AH Lara, MT Kaufman, MM Churchland, JP Cunningham
Nature communications 7 (1), 13239, 2016
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International Conference on Machine Learning, 7480-7512, 2023
Large margin deep networks for classification
G Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio
Advances in neural information processing systems 31, 2018
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
Adversarial reprogramming of neural networks
GF Elsayed, I Goodfellow, J Sohl-Dickstein
arXiv preprint arXiv:1806.11146, 2018
Conditional Object-Centric Learning from Video
T Kipf*, GF Elsayed*, A Mahendran*, A Stone*, S Sabour, G Heigold, ...
arXiv preprint arXiv:2111.12594, 2021
Rsn: Range sparse net for efficient, accurate lidar 3d object detection
P Sun, W Wang, Y Chai, G Elsayed, A Bewley, X Zhang, C Sminchisescu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Structure in neural population recordings: an expected byproduct of simpler phenomena?
GF Elsayed, JP Cunningham
Nature neuroscience 20 (9), 1310-1318, 2017
Behaviorally selective engagement of short-latency effector pathways by motor cortex
A Miri, CL Warriner, JS Seely, GF Elsayed, JP Cunningham, ...
Neuron 95 (3), 683-696. e11, 2017
Excitatory and inhibitory subnetworks are equally selective during decision-making and emerge simultaneously during learning
F Najafi, GF Elsayed, R Cao, E Pnevmatikakis, PE Latham, ...
Neuron 105 (1), 165-179. e8, 2020
Savi++: Towards end-to-end object-centric learning from real-world videos
G Elsayed, A Mahendran, S Van Steenkiste, K Greff, MC Mozer, T Kipf
Advances in Neural Information Processing Systems 35, 28940-28954, 2022
Conservation of preparatory neural events in monkey motor cortex regardless of how movement is initiated
AH Lara, GF Elsayed, AJ Zimnik, JP Cunningham, MM Churchland
elife 7, e31826, 2018
Saccader: Improving accuracy of hard attention models for vision
G Elsayed, S Kornblith, QV Le
Advances in Neural Information Processing Systems 32, 2019
Revisiting spatial invariance with low-rank local connectivity
G Elsayed, P Ramachandran, J Shlens, S Kornblith
International Conference on Machine Learning, 2868-2879, 2020
Beyond human data: Scaling self-training for problem-solving with language models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, PJ Liu, J Harrison, ...
arXiv preprint arXiv:2312.06585, 2023
Value and choice as separable and stable representations in orbitofrontal cortex
DL Kimmel, GF Elsayed, JP Cunningham, WT Newsome
Nature communications 11 (1), 3466, 2020
Accurate and interpretable classification with hard attention
G Elsayed, S Kornblith, QV Le
US Patent 11,475,277, 2022
Invariant slot attention: Object discovery with slot-centric reference frames
O Biza, S Van Steenkiste, MSM Sajjadi, GF Elsayed, A Mahendran, T Kipf
arXiv preprint arXiv:2302.04973, 2023
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