| Precision and Recall for Time Series N Tatbul arXiv preprint arXiv:1803.03639, 2018 | 236 | 2018 |
| An abstraction-based framework for neural network verification YY Elboher, J Gottschlich, G Katz Computer Aided Verification: 32nd International Conference, CAV 2020, Los …, 2020 | 152 | 2020 |
| Programmable coarse grained and sparse matrix compute hardware with advanced scheduling E Nurvitadhi, B Vembu, NCG Von Borries, R Barik, TH Lin, K Sinha, ... US Patent 10,186,011, 2019 | 131 | 2019 |
| Simulation intelligence: Towards a new generation of scientific methods A Lavin, D Krakauer, H Zenil, J Gottschlich, T Mattson, J Brehmer, ... arXiv preprint arXiv:2112.03235, 2021 | 120 | 2021 |
| Autonomous vehicle advanced sensing and response B Lakshamanan, LL Hurd, BJ Ashbaugh, E Ould-Ahmed-Vall, L Ma, J Jin, ... US Patent 10,332,320, 2019 | 105 | 2019 |
| An efficient software transactional memory using commit-time invalidation JE Gottschlich, M Vachharajani, JG Siek Proceedings of the 8th annual IEEE/ACM international symposium on Code …, 2010 | 84 | 2010 |
| Invyswell: a hybrid transactional memory for haswell's restricted transactional memory I Calciu, J Gottschlich, T Shpeisman, G Pokam, M Herlihy Proceedings of the 23rd international conference on Parallel architectures …, 2014 | 80 | 2014 |
| Coordination and increased utilization of graphics processors during inference AR Appu, A Koker, JC Weast, MB MacPherson, LL Hurd, SS Baghsorkhi, ... US Patent 10,304,154, 2019 | 69 | 2019 |
| The three pillars of machine programming J Gottschlich, A Solar-Lezama, N Tatbul, M Carbin, M Rinard, R Barzilay, ... Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine …, 2018 | 69 | 2018 |
| Using Elimination and Delegation to Implement a Scalable {NUMA-Friendly} Stack I Calciu, J Gottschlich, M Herlihy 5th USENIX Workshop on Hot Topics in Parallelism (HotPar 13), 2013 | 60 | 2013 |
| Methods and apparatus to detect anomalies of a monitored system M Agerstam, B Sadeghi, J Martin, J Ota, J Gottschlich, M Carranza, ... US Patent 10,802,942, 2020 | 59 | 2020 |
| AI Programmer: autonomously creating software programs using genetic algorithms K Becker, J Gottschlich Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 52 | 2021 |
| Greenhouse: A zero-positive machine learning system for time-series anomaly detection TJ Lee, J Gottschlich, N Tatbul, E Metcalf, S Zdonik arXiv preprint arXiv:1801.03168, 2018 | 50 | 2018 |
| Mlsys: The new frontier of machine learning systems A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ... arXiv preprint arXiv:1904.03257, 2019 | 48 | 2019 |
| Toward scalable verification for safety-critical deep networks L Kuper, G Katz, J Gottschlich, K Julian, C Barrett, M Kochenderfer arXiv preprint arXiv:1801.05950, 2018 | 48 | 2018 |
| Coreracer: A practical memory race recorder for multicore x86 tso processors G Pokam, C Pereira, S Hu, AR Adl-Tabatabai, J Gottschlich, J Ha, Y Wu Proceedings of the 44th Annual IEEE/ACM International Symposium on …, 2011 | 48 | 2011 |
| QuickRec: Prototyping an Intel architecture extension for record and replay of multithreaded programs G Pokam, K Danne, C Pereira, R Kassa, T Kranich, S Hu, J Gottschlich, ... Proceedings of the 40th annual international symposium on computer …, 2013 | 46 | 2013 |
| DracoSTM: A practical C++ approach to software transactional memory JE Gottschlich, DA Connors Proceedings of the 2007 Symposium on Library-Centric Software Design, 52-66, 2007 | 43 | 2007 |
| A zero-positive learning approach for diagnosing software performance regressions M Alam, J Gottschlich, N Tatbul, JS Turek, T Mattson, A Muzahid Advances in Neural Information Processing Systems 32, 2019 | 40* | 2019 |
| Neural network scheduling mechanism L Ma, NR Satish, J Bottleson, F Akhbari, E Nurvitadhi, C Sakthivel, ... US Patent 10,719,760, 2020 | 35 | 2020 |
Sara BaghsorkhiIntel Labs確認したメール アドレス: intel.com