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2020 – today
- 2024
[i5]Arindam Mitra, Luciano Del Corro, Guoqing Zheng, Shweti Mahajan, Dany Rouhana, Andrés Codas, Yadong Lu, Weige Chen, Olga Vrousgos, Corby Rosset, Fillipe Silva, Hamed Khanpour, Yash Lara, Ahmed Awadallah:
AgentInstruct: Toward Generative Teaching with Agentic Flows. CoRR abs/2407.03502 (2024)- 2023
- [i4]Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andrés Codas, Clarisse Simões, Sahaj Agrawal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah:
Orca 2: Teaching Small Language Models How to Reason. CoRR abs/2311.11045 (2023) - 2022
- [c6]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. NeurIPS 2022 - [i3]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. CoRR abs/2206.03865 (2022) - 2021
- [c5]Alberto Costa Nogueira Jr., Felipe C. T. Carvalho
, João Lucas de Sousa Almeida, Andrés Codas, Eloisa Bentivegna, Campbell D. Watson:
Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systems. ISC Workshops 2021: 56-72 - [i2]Chulin Wang, Kyongmin Yeo, Xiao Jin, Andrés Codas, Levente J. Klein, Bruce Elmegreen:
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process. CoRR abs/2111.04639 (2021) - 2020
- [j4]Esmaeil Jahanshahi, Krishnamoorthy Dinesh, Andrés Codas, Bjarne Foss, Sigurd Skogestad:
Plantwide control of an oil production network. Comput. Chem. Eng. 136: 106765 (2020)
2010 – 2019
- 2019
- [j3]Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. Frontiers Big Data 2: 33 (2019) - [i1]Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. CoRR abs/1906.01510 (2019) - 2013
- [c4]Andrés Codas, Marco Aurélio Aguiar, Konstantin Nalum, Bjarne Foss:
Differentiation Tool Efficiency Comparison for Nonlinear Model Predictive Control Applied to Oil Gathering Systems. NOLCOS 2013: 821-826 - 2012
- [j2]Andrés Codas, Sthener Campos, Eduardo Camponogara, Vidar Gunnerud, Snjezana Sunjerga:
Integrated production optimization of oil fields with pressure and routing constraints: The Urucu field. Comput. Chem. Eng. 46: 178-189 (2012) - [j1]Andrés Codas, Eduardo Camponogara:
Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing. Eur. J. Oper. Res. 217(1): 222-231 (2012) - 2011
- [c3]Helton Fernando Scherer, Eduardo Camponogara, Andrés Codas:
Transfer function modeling of linear dynamic networks for distributed MPC. CASE 2011: 613-618
2000 – 2009
- 2009
- [c2]Bernardo Ordoñez, Andrés Codas, Ubirajara F. Moreno:
Improving the operational conditions for the sucker-rod pumping system. CCA/ISIC 2009: 1259-1264 - 2008
- [c1]Bernardo Ordoñez, Andrés Codas, Ubirajara Franco Moreno, Alex Teixeira:
Sucker-rod pumping system: Simulator and dynamic level control using bottom hole pressure. ETFA 2008: 282-289
Coauthor Index
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