| Textbooks are all you need S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023 | 382 | 2023 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ... arXiv preprint arXiv:2404.14219, 2024 | 274 | 2024 |
| Textbooks are all you need ii: phi-1.5 technical report Y Li, S Bubeck, R Eldan, A Del Giorno, S Gunasekar, YT Lee arXiv preprint arXiv:2309.05463, 2023 | 273 | 2023 |
| A discriminative framework for anomaly detection in large videos A Del Giorno, JA Bagnell, M Hebert Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 246 | 2016 |
| Phi-2: The surprising power of small language models M Javaheripi, S Bubeck, M Abdin, J Aneja, S Bubeck, CCT Mendes, ... Microsoft Research Blog, 2023 | 115 | 2023 |
| Log-densenet: How to sparsify a densenet H Hu, D Dey, A Del Giorno, M Hebert, JA Bagnell arXiv preprint arXiv:1711.00002, 2017 | 43 | 2017 |
| Skipdecode: Autoregressive skip decoding with batching and caching for efficient llm inference L Del Corro, A Del Giorno, S Agarwal, B Yu, A Awadallah, S Mukherjee arXiv preprint arXiv:2307.02628, 2023 | 32 | 2023 |
| Textbooks are all you need (arXiv: 2306.11644). arXiv S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... | 9 | 2023 |
| A sparse coding model of V1 produces surround suppression effects in response to natural scenes AD Giorno, M Zhu, CJ Rozell BMC Neuroscience 14 (Suppl 1), P335, 2013 | 4 | 2013 |
| Methodology for extracting activity from functional calcium imaging data A Del Giorno, N Toporikova, N Mellen, RJ Butera BMC Neuroscience 13, 1-2, 2012 | 1 | 2012 |
| Generation and deployment of context-specific machine learning models G Kirshenboim, S Ravgad, S Shah, D Dey, AP Del Giorno US Patent App. 18/101,279, 2024 | | 2024 |
| Relationships in Instance Segmentation and Anomaly Detection A Del Giorno Carnegie Mellon University, 2022 | | 2022 |
| Ignoring Distractors in the Absence of Labels: Optimal Linear Projection to Remove False Positives During Anomaly Detection A Del Giorno, JA Bagnell, M Hebert arXiv preprint arXiv:1709.04549, 2017 | | 2017 |
| 16-831 Final Report: Online Anomaly Detection in Videos A Del Giorno, H Hu, N Rhinehart | | 2014 |
Sebastien BubeckVP AI and Distinguished Scientist, MicrosoftVerified email at microsoft.com
