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ORCIDPouya Bashivan
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2020 – today
- 2024
[j1]Yifei Ren, Pouya Bashivan
:
How well do models of visual cortex generalize to out of distribution samples? PLoS Comput. Biol. 20(5): 1011145 (2024)- [c10]Zihan Weng, Xiabing Zhang, Yufeng Mou, Chanlin Yi, Fali Li, Pouya Bashivan, Peng Xu:
A Hybrid CNN-Transformer Approach for Continuous Fine Finger Motion Decoding from sEMG Signals. CIVEMSA 2024: 1-6 - [c9]Rishika Bhagwatkar, Shravan Nayak, Pouya Bashivan, Irina Rish:
Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design. EMNLP (Findings) 2024: 17003-17020 - [i11]Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan:
iWISDM: Assessing instruction following in multimodal models at scale. CoRR abs/2406.14343 (2024) - [i10]Rishika Bhagwatkar, Shravan Nayak, Reza Bayat, Alexis Roger, Daniel Z. Kaplan, Pouya Bashivan, Irina Rish:
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques. CoRR abs/2407.11121 (2024) - 2022
- [i9]Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren:
Learning Robust Kernel Ensembles with Kernel Average Pooling. CoRR abs/2210.00062 (2022) - [i8]Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan:
Towards Out-of-Distribution Adversarial Robustness. CoRR abs/2210.03150 (2022) - 2021
- [c8]Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish:
Adversarial Feature Desensitization. NeurIPS 2021: 10665-10677 - 2020
- [i7]Pouya Bashivan, Blake A. Richards, Irina Rish:
Adversarial Feature Desensitization. CoRR abs/2006.04621 (2020)
2010 – 2019
- 2019
- [c7]Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer:
A Neurobiological Evaluation Metric for Neural Network Model Search. CVPR 2019: 5404-5413 - [c6]Pouya Bashivan, Mark Tensen, James J. DiCarlo:
Teacher Guided Architecture Search. ICCV 2019: 5319-5328 - [c5]Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo:
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS 2019: 12785-12796 - [i6]Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu:
Continual Learning with Self-Organizing Maps. CoRR abs/1904.09330 (2019) - [i5]Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo:
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. CoRR abs/1909.06161 (2019) - 2018
- [i4]Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer:
A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks. CoRR abs/1805.10726 (2018) - [i3]Pouya Bashivan, Mark Tensen, James J. DiCarlo:
Teacher Guided Architecture Search. CoRR abs/1808.01405 (2018) - 2017
- [c4]Pouya Bashivan, Mohammed Yeasin, Gavin M. Bidelman:
Temporal progression in functional connectivity determines individual differences in working memory capacity. IJCNN 2017: 2943-2949 - [c3]Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pouya Bashivan, Pablo Polosecki, Serdar M. Dursun:
Learning discriminative functional network features of schizophrenia. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371A - [i2]Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, Russell Greiner:
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks. CoRR abs/1712.00512 (2017) - 2016
- [c2]Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein:
Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880O - [c1]Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella:
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks. ICLR (Poster) 2016 - [i1]Pouya Bashivan, Irina Rish, Steve Heisig:
Mental State Recognition via Wearable EEG. CoRR abs/1602.00985 (2016)
Coauthor Index
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