| 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 | 2236 | 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 | 720 | 2024 |
| Breaking audio captchas J Tam, J Simsa, S Hyde, L Ahn Advances in Neural Information Processing Systems 21, 2008 | 173 | 2008 |
| Accepting predecessors are better than back edges in distributed ltl model-checking L Brim, I Černá, P Moravec, J Šimša Formal Methods in Computer-Aided Design, 352-366, 2004 | 119 | 2004 |
| Parrot: A practical runtime for deterministic, stable, and reliable threads H Cui, J Simsa, YH Lin, H Li, B Blum, X Xu, J Yang, GA Gibson, RE Bryant Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems …, 2013 | 109 | 2013 |
| tf. data: A machine learning data processing framework DG Murray, J Simsa, A Klimovic, I Indyk arXiv preprint arXiv:2101.12127, 2021 | 94 | 2021 |
| Comparing performance of solid state devices and mechanical disks M Polte, J Simsa, G Gibson 2008 3rd Petascale Data Storage Workshop, 1-7, 2008 | 72 | 2008 |
| dBug: systematic evaluation of distributed systems J Simsa, R Bryant, G Gibson Proceedings of the 5th international conference on Systems software …, 2010 | 67 | 2010 |
| Enabling enterprise solid state disks performance M Polte, J Simsa, G Gibson Carnegie Mellon University, 2009 | 46 | 2009 |
| Finding heap-bounds for hardware synthesis B Cook, A Gupta, S Magill, A Rybalchenko, J Simsa, S Singh, V Vafeiadis 2009 Formal Methods in Computer-Aided Design, 205-212, 2009 | 43 | 2009 |
| How to Order Vertices for Distributed LTL Model-Checking Based on Accepting Predecessors L Brim, I Černá, P Moravec, J Šimša In: Proceedings of the 4th International Workshop on Parallel and …, 2005 | 37 | 2005 |
| Plumber: Diagnosing and removing performance bottlenecks in machine learning data pipelines M Kuchnik, A Klimovic, J Simsa, V Smith, G Amvrosiadis Proceedings of Machine Learning and Systems 4, 33-51, 2022 | 36 | 2022 |
| Distributed partial order reduction of state spaces L Brim, I Černá, P Moravec, J Šimša Electronic Notes in Theoretical Computer Science 128 (3), 63-74, 2005 | 35 | 2005 |
| Improving audio captchas J Tam, J Simsa, D Huggins-Daines, L Von Ahn, M Blum Symposium On Usable Privacy and Security (SOUPS), 2008 | 34 | 2008 |
| Fast log-based concurrent writing of checkpoints M Polte, J Simsa, W Tantisiriroj, G Gibson, S Dayal, M Chainani, ... 2008 3rd Petascale Data Storage Workshop, 1-4, 2008 | 32 | 2008 |
| dBug: systematic testing of unmodified distributed and multi-threaded systems J Šimša, R Bryant, G Gibson Model Checking Software, 188-193, 2011 | 23 | 2011 |
| Scalable dynamic partial order reduction J Simsa, R Bryant, G Gibson, J Hickey Runtime Verification: Third International Conference, RV 2012, Istanbul …, 2013 | 20 | 2013 |
| Designing hardware with dynamic memory abstraction J Simsa, S Singh Proceedings of the 18th annual ACM/SIGDA international symposium on Field …, 2010 | 14 | 2010 |
| A case for disaggregation of ml data processing A Audibert, Y Chen, D Graur, A Klimovic, J Simsa, CA Thekkath arXiv preprint arXiv:2210.14826, 2022 | 9 | 2022 |
| Towards ML engineering: a brief history of tensorflow extended (TFX) K Katsiapis, A Karmarkar, A Altay, A Zaks, N Polyzotis, A Ramesh, ... arXiv preprint arXiv:2010.02013, 2020 | 7 | 2020 |
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonVerified email at vectorinstitute.ai
