Pouya Bashivan

According to our database, Pouya Bashivan authored at least 20 papers between 2016 and 2024.

Collaborative distances:

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

2024

How well do models of visual cortex generalize to out of distribution samples?

Yifei Ren, Pouya Bashivan

PLoS Comput. Biol., 2024

Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques.

Rishika Bhagwatkar, Shravan Nayak, Reza Bayat, Alexis Roger, Daniel Z. Kaplan, Pouya Bashivan, Irina Rish

CoRR, 2024

iWISDM: Assessing instruction following in multimodal models at scale.

Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan

CoRR, 2024

Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design.

Rishika Bhagwatkar, Shravan Nayak, Pouya Bashivan, Irina Rish

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Hybrid CNN-Transformer Approach for Continuous Fine Finger Motion Decoding from sEMG Signals.

Zihan Weng, Xiabing Zhang, Yufeng Mou, Chanlin Yi, Fali Li, Pouya Bashivan, Peng Xu

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

2022

Towards Out-of-Distribution Adversarial Robustness.

Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan

CoRR, 2022

Learning Robust Kernel Ensembles with Kernel Average Pooling.

Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren

CoRR, 2022

2021

Adversarial Feature Desensitization.

Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Adversarial Feature Desensitization.

Pouya Bashivan, Blake A. Richards, Irina Rish

CoRR, 2020

2019

Continual Learning with Self-Organizing Maps.

Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu

CoRR, 2019

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Teacher Guided Architecture Search.

Pouya Bashivan, Mark Tensen, James J. DiCarlo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Neurobiological Evaluation Metric for Neural Network Model Search.

Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks.

Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer

CoRR, 2018

2017

Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks.

Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, Russell Greiner

CoRR, 2017

Learning discriminative functional network features of schizophrenia.

Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pouya Bashivan, Pablo Polosecki, Serdar M. Dursun

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Temporal progression in functional connectivity determines individual differences in working memory capacity.

Pouya Bashivan, Mohammed Yeasin, Gavin M. Bidelman

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks.

Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella

Proceedings of the 4th International Conference on Learning Representations, 2016

Mental State Recognition via Wearable EEG.

Pouya Bashivan, Irina Rish, Steve Heisig

CoRR, 2016

Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach.

Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016