| 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 | 3181 | 2023 |
| 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 | 1151 | 2024 |
| 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 | 573 | 2023 |
| 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 | 396 | 2016 |
| Large margin deep networks for classification G Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio Advances in neural information processing systems 31, 2018 | 350 | 2018 |
| 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 | 316 | 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 | 223 | 2021 |
| Adversarial reprogramming of neural networks GF Elsayed, I Goodfellow, J Sohl-Dickstein arXiv preprint arXiv:1806.11146, 2018 | 214 | 2018 |
| 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 | 194 | 2021 |
| Structure in neural population recordings: an expected byproduct of simpler phenomena? GF Elsayed, JP Cunningham Nature neuroscience 20 (9), 1310-1318, 2017 | 172 | 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 | 155 | 2017 |
| 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 | 145 | 2022 |
| 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 | 127 | 2020 |
| 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 | 110 | 2018 |
| Saccader: Improving accuracy of hard attention models for vision G Elsayed, S Kornblith, QV Le Advances in neural information processing systems 32, 2019 | 97 | 2019 |
| 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 | 95 | 2023 |
| Adversarial examples that fool both human and computer vision GF Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ... arXiv preprint arXiv:1802.08195 10, 2018 | 85 | 2018 |
| Revisiting spatial invariance with low-rank local connectivity G Elsayed, P Ramachandran, J Shlens, S Kornblith International Conference on Machine Learning, 2868-2879, 2020 | 57 | 2020 |
| 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 | 37 | 2020 |
| Accurate and interpretable classification with hard attention G Elsayed, S Kornblith, QV Le US Patent 11,475,277, 2022 | 32 | 2022 |
John CunninghamProfessor, Columbia UniversityVerificeret mail på columbia.edu