Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach. - Irina Rish; Pouya Bashivan; Guillermo A. Cecchi; Rita Z. Goldstein (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Mental State Recognition via Wearable EEG. - Pouya Bashivan; Irina Rish; Steve Heisig (CoRR, 2016)

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks. - Pouya Bashivan; Irina Rish; Mohammed Yeasin; Noel Codella (ICLR (Poster), 2016)

Temporal progression in functional connectivity determines individual differences in working memory capacity. - Pouya Bashivan; Mohammed Yeasin; Gavin M. Bidelman (IJCNN, 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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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)

A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks. - Nathaniel Blanchard; Jeffery Kinnison; Brandon RichardWebster; Pouya Bashivan; Walter J. Scheirer (CoRR, 2018)

A Neurobiological Evaluation Metric for Neural Network Model Search. - Nathaniel Blanchard; Jeffery Kinnison; Brandon RichardWebster; Pouya Bashivan; Walter J. Scheirer (CVPR, 2019)

Teacher Guided Architecture Search. - Pouya Bashivan; Mark Tensen; James J. DiCarlo (ICCV, 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; et al. (NeurIPS, 2019)

Continual Learning with Self-Organizing Maps. - Pouya Bashivan; Martin Schrimpf; Robert Ajemian; Irina Rish; Matthew Riemer; Yuhai Tu (CoRR, 2019)

Adversarial Feature Desensitization. - Pouya Bashivan; Blake A. Richards; Irina Rish (CoRR, 2020)

Adversarial Feature Desensitization. - Pouya Bashivan; Reza Bayat; Adam Ibrahim; Kartik Ahuja; Mojtaba Faramarzi; Touraj Laleh; Blake A. Richards; Irina Rish (NeurIPS, 2021)

Learning Robust Kernel Ensembles with Kernel Average Pooling. - Pouya Bashivan; Adam Ibrahim; Amirozhan Dehghani; Yifei Ren (CoRR, 2022)

Towards Out-of-Distribution Adversarial Robustness. - Adam Ibrahim; Charles Guille-Escuret; Ioannis Mitliagkas; Irina Rish; David Krueger 001; Pouya Bashivan (CoRR, 2022)

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 001 (CIVEMSA, 2024)

iWISDM: Assessing instruction following in multimodal models at scale. - Xiaoxuan Lei; Lucas Gomez; Hao Yuan Bai; Pouya Bashivan (CoLLAs, 2024)

Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design. - Rishika Bhagwatkar; Shravan Nayak; Pouya Bashivan; Irina Rish (EMNLP (Findings), 2024)

RGP: Achieving Memory-Efficient Model Fine-tuning Via Randomized Gradient Projection. - Ali Saheb Pasand; Pouya Bashivan (ENLSP, 2024)

Geometry of naturalistic object representations in recurrent neural network models of working memory. - Xiaoxuan Lei; Takuya Ito; Pouya Bashivan (NeurIPS, 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)

How well do models of visual cortex generalize to out of distribution samples? - Yifei Ren; Pouya Bashivan (PLoS Comput. Biol., 2024)

Credit-based self organizing maps: training deep topographic networks with minimal performance degradation. - Amirozhan Dehghani; Xinyu Qian; Asa Farahani; Pouya Bashivan (ICLR, 2025)

Learning adversarially robust kernel ensembles with kernel average pooling. - Pouya Bashivan; Reza Bayat; Adam Ibrahim; Amirozhan Dehghani; Yifei Ren (Expert Syst. Appl., 2025)

Real-time fine finger motion decoding for transradial amputees with surface electromyography. - Zihan Weng; Yang Xiao; Peiyang Li; Chanlin Yi; Pouya Bashivan; Hailin Ma; Guang Yao; Yuan Lin; Fali Li; Dezhong Yao 001; Jingming Hou; Yangsong Zhang; et al. (Neural Networks, 2025)

Building spatial world models from sparse transitional episodic memories. - Zizhan He; Maxime Daigle; Pouya Bashivan (CoRR, 2025)

Caption This, Reason That: VLMs Caught in the Middle. - Zihan Weng; Lucas Gomez; Taylor Whittington Webb; Pouya Bashivan (CoRR, 2025)