Amin Heyrani Nobari

19 papers A* 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback. CoRR Giorgio Giannone, Anna C. Doris, Amin Heyrani Nobari, Kai Xu, Akash Srivastava, Faez Ahmed
2025	J	`jnl`	Activation-Informed Merging of Large Language Models. CoRR Amin Heyrani Nobari, Kaveh Alimohammadi, Ali ArjomandBigdeli, Akash Srivastava, Faez Ahmed, Navid Azizan
2025	J	`jnl`	CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation. CoRR Anna C. Doris, Md Ferdous Alam, Amin Heyrani Nobari, Faez Ahmed
2025	J	`jnl`	Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing. CoRR Quan Dao, Xiaoxiao He, Ligong Han, Ngan Hoai Nguyen, Amin Heyrani Nobari, Faez Ahmed, Han Zhang, Viet Anh Nguyen, Dimitris N. Metaxas
2025	J	`jnl`	NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization. Trans. Mach. Learn. Res. Amin Heyrani Nobari, Lyle Regenwetter, Giorgio Giannone, Faez Ahmed
2025	J	`jnl`	Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization. CoRR Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard, Ligong Han, Faez Ahmed
2025	J	`jnl`	PGD-TO: A Scalable Alternative to MMA Using Projected Gradient Descent for Multi-Constraint Topology Optimization. CoRR Amin Heyrani Nobari, Faez Ahmed
2024	J	`jnl`	BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs. CoRR Lyle Regenwetter, Yazan Abu Obaideh, Amin Heyrani Nobari, Faez Ahmed
2024	J	`jnl`	Generative Optimization: A Perspective on AI-Enhanced Problem Solving in Engineering. CoRR Cyril Picard, Lyle Regenwetter, Amin Heyrani Nobari, Akash Srivastava, Faez Ahmed
2024	J	`jnl`	LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis. CoRR Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
2024	J	`jnl`	LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis. Trans. Mach. Learn. Res. Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed
2024	J	`jnl`	NITO: Neural Implicit Fields for Resolution-free Topology Optimization. CoRR Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter, Faez Ahmed
2023	J	`jnl`	Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks. CoRR Amin Heyrani Nobari, Justin Rey, Suhas Kodali, Matthew Jones, Faez Ahmed
2022	J	`jnl`	LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design. CoRR Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed
2021	J	`jnl`	CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis. CoRR Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed
2021	J	`jnl`	Deep Generative Models in Engineering Design: A Review. CoRR Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed
2021	A*	`conf`	PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. KDD Amin Heyrani Nobari, Wei Chen, Faez Ahmed
2021	J	`jnl`	PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. CoRR Amin Heyrani Nobari, Wei Chen, Faez Ahmed
2021	J	`jnl`	Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis. CoRR Amin Heyrani Nobari, Wei Chen, Faez Ahmed