| Orca 2: Teaching small language models how to reason A Mitra, L Del Corro, S Mahajan, A Codas, C Simoes, S Agarwal, X Chen, ... arXiv preprint arXiv:2311.11045, 2023 | 140 | 2023 |
| Fault-aware neural code rankers JP Inala, C Wang, M Yang, A Codas, M Encarnación, S Lahiri, ... Advances in Neural Information Processing Systems 35, 13419-13432, 2022 | 60 | 2022 |
| Integrated production optimization of oil fields with pressure and routing constraints: The Urucu field A Codas, S Campos, E Camponogara, V Gunnerud, S Sunjerga Computers & Chemical Engineering 46, 178-189, 2012 | 60 | 2012 |
| Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing A Codas, E Camponogara European Journal of Operational Research 217 (1), 222-231, 2012 | 59 | 2012 |
| Accelerating physics-based simulations using end-to-end neural network proxies: An application in oil reservoir modeling J Navrátil, A King, J Rios, G Kollias, R Torrado, A Codas Frontiers in big Data 2, 471450, 2019 | 43 | 2019 |
| Output-constraint handling and parallelization for oil-reservoir control optimization by means of multiple shooting A Codas, B Foss, E Camponogara SPE Journal 20 (04), 856-871, 2015 | 28 | 2015 |
| A two-layer structure for stabilization and optimization of an oil gathering network A Codas, E Jahanshahi, B Foss IFAC-PapersOnLine 49 (7), 931-936, 2016 | 26 | 2016 |
| Closed-loop predictions in reservoir management under uncertainty KG Hanssen, A Codas, B Foss SPE Journal 22 (05), 1585-1595, 2017 | 25 | 2017 |
| Plantwide control of an oil production network E Jahanshahi, D Krishnamoorthy, A Codas, B Foss, S Skogestad Computers & Chemical Engineering 136, 106765, 2020 | 20 | 2020 |
| Sucker-rod pumping system: Simulator and dynamic level control using bottom hole pressure B Ordonez, A Codas, UF Moreno, A Teixeira 2008 IEEE International Conference on Emerging Technologies and Factory …, 2008 | 20 | 2008 |
| Improving the operational conditions for the sucker-rod pumping system B Ordonez, A Codas, UF Moreno 2009 IEEE Control Applications,(CCA) & Intelligent Control,(ISIC), 1259-1264, 2009 | 17 | 2009 |
| Agentinstruct: Toward generative teaching with agentic flows A Mitra, L Del Corro, G Zheng, S Mahajan, D Rouhana, A Codas, Y Lu, ... arXiv preprint arXiv:2407.03502, 2024 | 15 | 2024 |
| A computational analysis of convex combination models for multidimensional piecewise-linear approximation in oil production optimization TL Silva, A Codas, E Camponogara IFAC Proceedings Volumes 45 (8), 292-298, 2012 | 15 | 2012 |
| S3rp: Self-supervised super-resolution and prediction for advection-diffusion process C Wang, K Yeo, X Jin, A Codas, LJ Klein, B Elmegreen arXiv preprint arXiv:2111.04639, 2021 | 13 | 2021 |
| Redes Locais Sem Fio: Conceito e Aplicações U Corrêa, AR Pinto, A Codas, DJ Ferreira, C Montez Florianópolis: Universidade Federal de Santa Catarina, 2006 | 13 | 2006 |
| An end-to-end deep sequential surrogate model for high performance reservoir modeling: Enabling New Workflows J Navratil, G De Paola, G Kollias, P Nadukandi, A Codas, C Ibanez-Llano SPE Annual Technical Conference and Exhibition?, D041S046R006, 2020 | 12 | 2020 |
| Multiple shooting applied to robust reservoir control optimization including output constraints on coherent risk measures A Codas, KG Hanssen, B Foss, A Capolei, JB Jørgensen Computational Geosciences 21, 479-497, 2017 | 11 | 2017 |
| Systemwide optimal control of offshore oil production networks with time dependent constraints MA Aguiar, A Codas, E Camponogara IFAC-PapersOnLine 48 (6), 200-207, 2015 | 11 | 2015 |
| Robot localization algorithm using odometry and RFID technology A Codas, M Devy, C Lemaire IFAC Proceedings Volumes 43 (16), 569-574, 2010 | 11 | 2010 |
| Network-constrained production optimization by means of multiple shooting TL Silva, A Codas, M Stanko, E Camponogara, B Foss SPE Reservoir Evaluation & Engineering 22 (02), 709-733, 2019 | 9 | 2019 |
