| 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 | 2556 | 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 | 1031 | 2024 |
| Observation of topological phenomena in a programmable lattice of 1,800 qubits AD King, J Carrasquilla, J Raymond, I Ozfidan, E Andriyash, A Berkley, ... Nature 560 (7719), 456-460, 2018 | 371 | 2018 |
| Aslib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41-58, 2016 | 309 | 2016 |
| Perception test: A diagnostic benchmark for multimodal video models V Patraucean, L Smaira, A Gupta, A Recasens, L Markeeva, D Banarse, ... Advances in Neural Information Processing Systems 36, 2024 | 85 | 2024 |
| Handbook of spectrum auction design M Bichler, JK Goeree Cambridge University Press, 2017 | 84 | 2017 |
| Using the shapley value to analyze algorithm portfolios A Fréchette, L Kotthoff, T Michalak, T Rahwan, H Hoos, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 52 | 2016 |
| Quantum-assisted genetic algorithm J King, M Mohseni, W Bernoudy, A Fréchette, H Sadeghi, SV Isakov, ... arXiv preprint arXiv:1907.00707, 2019 | 38 | 2019 |
| Deep optimization for spectrum repacking N Newman, A Fréchette, K Leyton-Brown Communications of the ACM 61 (1), 97-104, 2017 | 38 | 2017 |
| Solving the station repacking problem A Fréchette, N Newman, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 32 | 2016 |
| Shortest path versus multihub routing in networks with uncertain demand A Fréchette, FB Shepherd, MK Thottan, PJ Winzer IEEE/ACM Transactions on Networking 23 (6), 1931-1943, 2014 | 21 | 2014 |
| Operations research enables auction to repurpose television spectrum for next-generation wireless technologies JL Kiddoo, E Kwerel, S Javid, M Dunford, GM Epstein, CE Meisch Jr, ... INFORMS Journal on Applied Analytics 49 (1), 7-22, 2019 | 16 | 2019 |
| Learning few-shot imitation as cultural transmission A Bhoopchand, B Brownfield, A Collister, A Dal Lago, A Edwards, ... Nature Communications 14 (1), 7536, 2023 | 14 | 2023 |
| Quantifying Algorithmic Improvements over Time. L Kotthoff, A Fréchette, TP Michalak, T Rahwan, HH Hoos, ... IJCAI, 5165-5171, 2018 | 11 | 2018 |
| Learning Robust Real-Time Cultural Transmission without Human Data CGI Team, A Bhoopchand, B Brownfield, A Collister, AD Lago, A Edwards, ... arXiv preprint arXiv:2203.00715, 2022 | 6 | 2022 |
| Systems and methods for degeneracy mitigation in a quantum processor AD King, A Fréchette, EA Andriyash, TM Lanting, EM Hoskinson, ... US Patent 11,681,940, 2023 | 1 | 2023 |
| Hub routing for the robust network design problem A Fréchette McGill University, 2013 | 1 | 2013 |
| Systems and methods for degeneracy mitigation in a quantum processor AD King, A Fréchette, EA Andriyash, TM Lanting, EM Hoskinson, ... US Patent App. 18/138,989, 2023 | | 2023 |
| Learning Robust Real-Time Cultural Transmission without Human Data G Cultural Intelligence Team, A Bhoopchand, B Brownfield, A Collister, ... arXiv e-prints, arXiv: 2203.00715, 2022 | | 2022 |
| 1 The Maximum Cut Problem NH Scribe, A Fréchette | | |
