Amir Khasahmadi

According to our database, Amir Khasahmadi authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation.

Nikita Klimenko, Hesam Salehipour, Parham Eftekhar, Amir Khasahmadi, Ramon Elias Weber

CoRR, May, 2026

2025

Majority of the Bests: Improving Best-of-N via Bootstrapping.

Amin Rakhsha, Kanika Madan, Tianyu Zhang, Amir-massoud Farahmand, Amir Khasahmadi

CoRR, November, 2025

CombiGraph-Vis: A Curated Multimodal Olympiad Benchmark for Discrete Mathematical Reasoning.

Hamed Mahdavi, Pouria Mahdavinia, Alireza Farhadi, Pegah Mohammadipour, Samira Malek, Majid Daliri, Pedram Mohammadipour, Alireza Hashemi, Amir Khasahmadi, Vasant G. Honavar

CoRR, October, 2025

RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows.

Hamed Mahdavi, Pouria Mahdavinia, Samira Malek, Pegah Mohammadipour, Alireza Hashemi, Majid Daliri, Alireza Farhadi, Amir Khasahmadi, Niloofar Mireshghallah, Vasant G. Honavar

CoRR, October, 2025

Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics.

Hamed Mahdavi, Alireza Hashemi, Majid Daliri, Pegah Mohammadipour, Alireza Farhadi, Samira Malek, Yekta Yazdanifard, Amir Khasahmadi, Vasant G. Honavar

CoRR, April, 2025

e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration.

Hyunmin Cheong, Mohammadmehdi Ataei, Amir Hosein Khasahmadi, Pradeep Kumar Jayaraman

CoRR, February, 2025

Aligning Constraint Generation with Design Intent in Parametric CAD.

Evan Casey, Tianyu Zhang, Shu Ishida, John Roger Thompson, Amir Khasahmadi, Joseph George Lambourne, Pradeep Kumar Jayaraman, Karl D. D. Willis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models.

Vahid Balazadeh, Mohammadmehdi Ataei, Hyunmin Cheong, Amir Hosein Khasahmadi, Rahul G. Krishnan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Synthetic Vision: Training Vision-Language Models to Understand Physics.

Vahid Balazadeh Meresht, Mohammadmehdi Ataei, Hyunmin Cheong, Amir Hosein Khasahmadi, Rahul G. Krishnan

CoRR, 2024

MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs.

Saeid Asgari Taghanaki, Ali Asghar Khani, Amir Khasahmadi

CoRR, 2024

CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches.

Sifan Wu, Amir Hosein Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learned Visual Features to Textual Explanations.

Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri

CoRR, 2023

CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language.

Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text.

Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie

CoRR, 2022

SimCURL: Simple Contrastive User Representation Learning from Command Sequences.

Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Group-disentangled Representation Learning with Weakly-Supervised Regularization.

Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki

CoRR, 2021

Robust Representation Learning via Perceptual Similarity Metrics.

Saeid Asgari Taghanaki, Kristy Choi, Amir Hosein Khasahmadi, Anirudh Goyal

Proceedings of the 38th International Conference on Machine Learning, 2021

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps.

Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021