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Kazem Meidani
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2020 – today
- 2024
- [c3]Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani:
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. ICLR 2024 - [i8]Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy:
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. CoRR abs/2404.18400 (2024) - 2023
- [j7]Kazem Meidani, Amir Barati Farimani:
Identification of parametric dynamical systems using integer programming. Expert Syst. Appl. 219: 119622 (2023) - [j6]Zijie Li, Kazem Meidani, Amir Barati Farimani:
Transformer for Partial Differential Equations' Operator Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Kazem Meidani, Igor Borovikov, Amir Barati Farimani, Harold Chaput:
Inverse Lighting with Differentiable Physically-Based Model. LION 2023: 286-300 - [c1]Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy:
Transformer-based Planning for Symbolic Regression. NeurIPS 2023 - [i7]Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy:
Transformer-based Planning for Symbolic Regression. CoRR abs/2303.06833 (2023) - [i6]Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani:
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. CoRR abs/2310.02227 (2023) - 2022
- [j5]AmirPouya Hemmasian, Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani:
VecMetaPy: A vectorized framework for metaheuristic optimization in Python. Adv. Eng. Softw. 166: 103092 (2022) - [j4]Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani:
MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection. Appl. Soft Comput. 128: 109452 (2022) - [j3]Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani:
Online metaheuristic algorithm selection. Expert Syst. Appl. 201: 117058 (2022) - [j2]Kazem Meidani, AmirPouya Hemmasian, Seyedali Mirjalili, Amir Barati Farimani:
Adaptive grey wolf optimizer. Neural Comput. Appl. 34(10): 7711-7731 (2022) - [i5]Parand Akbari, Francis Ogoke, Ning-Yu Kao, Kazem Meidani, Chun-Yu Yeh, William Lee, Amir Barati Farimani:
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning. CoRR abs/2201.11662 (2022) - [i4]Zijie Li, Kazem Meidani, Amir Barati Farimani:
Transformer for Partial Differential Equations' Operator Learning. CoRR abs/2205.13671 (2022) - 2021
- [j1]Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani:
Graph convolutional networks applied to unstructured flow field data. Mach. Learn. Sci. Technol. 2(4): 45020 (2021) - [i3]Zijie Li, Kazem Meidani, Prakarsh Yadav, Amir Barati Farimani:
Graph Neural Networks Accelerated Molecular Dynamics. CoRR abs/2112.03383 (2021) - 2020
- [i2]Kazem Meidani, Amir Barati Farimani:
Data-driven Identification of 2D Partial Differential Equations using extracted physical features. CoRR abs/2010.10626 (2020) - [i1]Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani:
Graph Convolutional Neural Networks for Body Force Prediction. CoRR abs/2012.02232 (2020)
Coauthor Index
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last updated on 2024-10-07 22:05 CEST by the dblp team
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