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Amir Hosein Khasahmadi
Amir Hosein Khasahmadi
Machine Learning Research Scientist at Autodesk
Verified email at autodesk.com
Title
Cited by
Cited by
Year
Contrastive multi-view representation learning on graphs
K Hassani, AH Khasahmadi
International conference on machine learning, 4116-4126, 2020
14622020
Memory-Based Graph Networks
AH Khasahmadi, K Hassani, P Moradi, L Lee, Q Morris
international conference on learning representations, 2020
109*2020
Clip-sculptor: Zero-shot generation of high-fidelity and diverse shapes from natural language
A Sanghi, R Fu, V Liu, KDD Willis, H Shayani, AH Khasahmadi, S Sridhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
452023
Robust representation learning via perceptual similarity metrics
SA Taghanaki, K Choi, AH Khasahmadi, A Goyal
International Conference on Machine Learning, 10043-10053, 2021
322021
Heart Rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals
AK Ahmadi, P Moradi, M Malihi, S Karimi, MB Shamsollahi
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
292015
Learning graph augmentations to learn graph representations
K Hassani, AH Khasahmadi
arXiv preprint arXiv:2201.09830, 2022
192022
TEXTCRAFT: ZERO-SHOT GENERATION OF HIGH FIDELITY AND DIVERSE SHAPES FROM TEXT
A Sanghi, R Fu, V Liu, K Willis, H Shayani, AH Khasahmadi, S Sridhar, ...
122022
Pointmask: Towards interpretable and bias-resilient point cloud processing
SA Taghanaki, K Hassani, PK Jayaraman, AH Khasahmadi, T Custis
arXiv preprint arXiv:2007.04525, 2020
122020
Retracted: Discovering Informative Regions in Iris Images to Predict Diabetes
P Moradi, N Nazer, AK Ahmadi, H Mohammadzade, HK Jafari
2018 25th National and 3rd International Iranian Conference on Biomedical …, 2018
82018
UVStyle-Net: Unsupervised few-shot learning of 3D style similarity measure for B-reps
P Meltzer, H Shayani, A Khasahmadi, PK Jayaraman, A Sanghi, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
62021
SimCURL: Simple Contrastive User Representation Learning from Command Sequences
H Chu, AH Khasahmadi, KDD Willis, F Anderson, Y Mao, L Tran, ...
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
42022
Cad-llm: Large language model for cad generation
S Wu, A Khasahmadi, M Katz, PK Jayaraman, Y Pu, K Willis, B Liu
Proceedings of the neural information processing systems conference. neurIPS, 2023
32023
MMLU-Pro+: Evaluating higher-order reasoning and shortcut learning in LLMs
SA Taghanaki, A Khani, A Khasahmadi
arXiv preprint arXiv:2409.02257, 2024
22024
Techniques for generating visualizations of geometric style gradients
P Meltzer, AHK AHMADI, PK Jayaraman, JG Lambourne, A Sanghi, ...
US Patent App. 17/523,749, 2022
12022
Group-disentangled representation learning with weakly-supervised regularization
L Tran, AH Khasahmadi, A Sanghi, S Asgari
arXiv preprint arXiv:2110.12185, 2021
12021
texplain: Post-hoc Textual Explanation of Image Classifiers with Pre-trained Language Models
S Asgari, A Khani, AH Khasahmadi, A Sanghi, KDD Willis, AM Amiri
ICLR 2024 Workshop on Reliable and Responsible Foundation Models, 0
1
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches
S Wu, A Khasahmadi, M Katz, PK Jayaraman, Y Pu, K Willis, B Liu
arXiv preprint arXiv:2409.17457, 2024
2024
MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs
S Asgari Taghanaki, A Khani, A Khasahmadi
arXiv e-prints, arXiv: 2409.02257, 2024
2024
Learned Visual Features to Textual Explanations
S Asgari Taghanaki, A Khani, A Khasahmadi, A Sanghi, KDD Willis, ...
arXiv e-prints, arXiv: 2309.00733, 2023
2023
Learned Visual Features to Textual Explanations
SA Taghanaki, A Khani, A Khasahmadi, A Sanghi, KDD Willis, ...
arXiv preprint arXiv:2309.00733, 2023
2023
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