Pouya Bashivan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Individual Differences

Kernel Ridge Regression

Convolutional Neural Network

Top Venues

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Publications

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 (2024)
Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan
iWISDM: Assessing instruction following in multimodal models at scale. CoRR (2024)
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)
Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren
Learning Robust Kernel Ensembles with Kernel Average Pooling. CoRR (2022)
Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan
Towards Out-of-Distribution Adversarial Robustness. CoRR (2022)
Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish
Adversarial Feature Desensitization. NeurIPS (2021)
Pouya Bashivan, Blake A. Richards, Irina Rish
Adversarial Feature Desensitization. CoRR (2020)
Pouya Bashivan, Mark Tensen, James J. DiCarlo
Teacher Guided Architecture Search. ICCV (2019)
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 (2019)
Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu
Continual Learning with Self-Organizing Maps. CoRR (2019)
Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
A Neurobiological Evaluation Metric for Neural Network Model Search. CVPR (2019)
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. Yamins, James J. DiCarlo
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS (2019)
Pouya Bashivan, Mark Tensen, James J. DiCarlo
Teacher Guided Architecture Search. CoRR (2018)
Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks. CoRR (2018)
Pouya Bashivan, Mohammed Yeasin, Gavin M. Bidelman
Temporal progression in functional connectivity determines individual differences in working memory capacity. IJCNN (2017)
Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, Russell Greiner
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks. CoRR (2017)
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Pouya Bashivan, Irina Rish, Steve Heisig
Mental State Recognition via Wearable EEG. CoRR (2016)
Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein
Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)
Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks. ICLR (Poster) (2016)