| Cortical control of a prosthetic arm for self-feeding M Velliste, S Perel, MC Spalding, AS Whitford, AB Schwartz Nature 453 (7198), 1098-1101, 2008 | 1999 | 2008 |
| A generalized framework for population based training A Li, O Spyra, S Perel, V Dalibard, M Jaderberg, C Gu, D Budden, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 78 | 2019 |
| Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics S Perel, PT Sadtler, ER Oby, SI Ryu, EC Tyler-Kabara, AP Batista, ... Journal of neurophysiology 114 (3), 1500-1512, 2015 | 74 | 2015 |
| Towards learning universal hyperparameter optimizers with transformers Y Chen, X Song, C Lee, Z Wang, R Zhang, D Dohan, K Kawakami, ... Advances in Neural Information Processing Systems 35, 32053-32068, 2022 | 57 | 2022 |
| Extracellular voltage threshold settings can be tuned for optimal encoding of movement and stimulus parameters ER Oby, S Perel, PT Sadtler, DA Ruff, JL Mischel, DF Montez, MR Cohen, ... Journal of neural engineering 13 (3), 036009, 2016 | 47 | 2016 |
| Cortical control of a prosthetic device M Velliste, S Perel, AS Whitford, A Schwartz US Patent 8,818,557, 2014 | 37 | 2014 |
| Open source vizier: Distributed infrastructure and api for reliable and flexible blackbox optimization X Song, S Perel, C Lee, G Kochanski, D Golovin International Conference on Automated Machine Learning, 8/1-17, 2022 | 32 | 2022 |
| Direction and speed tuning of motor-cortex multi-unit activity and local field potentials during reaching movements S Perel, PT Sadtler, JM Godlove, SI Ryu, W Wang, AP Batista, SM Chase 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 17 | 2013 |
| A multivariate gaussian process factor model for hand shape during reach-to-grasp movements L Castellanos, VQ Vu, S Perel, AB Schwartz, RE Kass Statistica Sinica 25 (1), 5, 2015 | 14 | 2015 |
| Neural architecture search for energy-efficient always-on audio machine learning DT Speckhard, K Misiunas, S Perel, T Zhu, S Carlile, M Slaney Neural Computing and Applications 35 (16), 12133-12144, 2023 | 12 | 2023 |
| Omnipred: Language models as universal regressors X Song, O Li, C Lee, B Yang, D Peng, S Perel, Y Chen arXiv preprint arXiv:2402.14547, 2024 | 6 | 2024 |
| Single-snippet analysis for detection of postspike effects S Perel, AB Schwartz, V Ventura Neural computation 26 (1), 40-56, 2014 | 3 | 2014 |
| Smart Shoe Design: Adaptable Shoe for Foot Pronation N Appelson, L Reape, S Kane, D Shih, S Farrokhi, A Whitford, S Perel | 2 | 2015 |
| Dynamic functional connectivity between cortex and muscles S Perel University of Pittsburgh, 2012 | 2 | 2012 |
| The vizier gaussian process bandit algorithm X Song, Q Zhang, C Lee, E Fertig, TK Huang, L Belenki, G Kochanski, ... arXiv preprint arXiv:2408.11527, 2024 | 1 | 2024 |
| Platform for Automatic Production of Machine Learning Models and Deployment Pipelines A Skerry-Ryan, QL de Laroussilhe, RR Yang, CM Riggi, C Lee, ... US Patent App. 18/012,387, 2024 | 1 | 2024 |
| Population Based Training as a Service A Li, O Spyra, S Perel, V Dalibard, M Jaderberg, C Gu, D Budden, ... NIPS Systems for ML Workshop, Montréal, Canada, 2018 | 1 | 2018 |
| Automatic scan test for detection of functional connectivity between cortex and muscles S Perel, AB Schwartz, V Ventura Journal of neurophysiology 112 (2), 490-499, 2014 | 1 | 2014 |
| Predicting from Strings: Language Model Embeddings for Bayesian Optimization T Nguyen, Q Zhang, B Yang, C Lee, J Bornschein, Y Miao, S Perel, ... arXiv preprint arXiv:2410.10190, 2024 | | 2024 |
| Population-based training of machine learning models A Li, VC Dalibard, D Budden, O Spyra, ME Jaderberg, TJA Harley, S Perel, ... US Patent 11,907,821, 2024 | | 2024 |
Andrew B. SchwartzProfessor of Neurobiology, University of PittsburghVerified email at pitt.edu
