Pouya Bashivan

33 papers A* 7B 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stable Deep Reinforcement Learning via Isotropic Gaussian Representations. CoRR Ali Saheb Pasand, Johan S. Obando-Ceron, Aaron C. Courville, Pouya Bashivan, Pablo Samuel Castro
2025	J	`jnl`	Building spatial world models from sparse transitional episodic memories. CoRR Zizhan He, Maxime Daigle, Pouya Bashivan
2025	J	`jnl`	Caption This, Reason That: VLMs Caught in the Middle. CoRR Zihan Weng, Lucas Gomez, Taylor Whittington Webb, Pouya Bashivan
2025	A*	`conf`	Credit-based self organizing maps: training deep topographic networks with minimal performance degradation. ICLR Amirozhan Dehghani, Xinyu Qian, Asa Farahani, Pouya Bashivan
2025	J	`jnl`	Learning adversarially robust kernel ensembles with kernel average pooling. Expert Syst. Appl. Pouya Bashivan, Reza Bayat, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren
2025	J	`jnl`	Real-time fine finger motion decoding for transradial amputees with surface electromyography. Neural Networks Zihan Weng, Yang Xiao, Peiyang Li, Chanlin Yi, Pouya Bashivan, Hailin Ma, Guang Yao, Yuan Lin, Fali Li, Dezhong Yao, Jingming Hou, Yangsong Zhang, Peng Xu
2025	J	`jnl`	SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding. CoRR Zihan Weng, Chanlin Yi, Pouya Bashivan, Jing Lu, Fali Li, Dezhong Yao, Jingming Hou, Yangsong Zhang, Peng Xu
2024	—	`conf`	A Hybrid CNN-Transformer Approach for Continuous Fine Finger Motion Decoding from sEMG Signals. CIVEMSA Zihan Weng, Xiabing Zhang, Yufeng Mou, Chanlin Yi, Fali Li, Pouya Bashivan, Peng Xu
2024	A*	`conf`	Geometry of naturalistic object representations in recurrent neural network models of working memory. NeurIPS Xiaoxuan Lei, Takuya Ito, Pouya Bashivan
2024	J	`jnl`	Geometry of naturalistic object representations in recurrent neural network models of working memory. CoRR Xiaoxuan Lei, Takuya Ito, Pouya Bashivan
2024	J	`jnl`	How well do models of visual cortex generalize to out of distribution samples? PLoS Comput. Biol. Yifei Ren, Pouya Bashivan
2024	—	`conf`	Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design. EMNLP (Findings) Rishika Bhagwatkar, Shravan Nayak, Pouya Bashivan, Irina Rish
2024	—	`conf`	RGP: Achieving Memory-Efficient Model Fine-tuning Via Randomized Gradient Projection. ENLSP Ali Saheb Pasand, Pouya Bashivan
2024	J	`jnl`	Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques. CoRR Rishika Bhagwatkar, Shravan Nayak, Reza Bayat, Alexis Roger, Daniel Z. Kaplan, Pouya Bashivan, Irina Rish
2024	—	`conf`	iWISDM: Assessing instruction following in multimodal models at scale. CoLLAs Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan
2024	J	`jnl`	iWISDM: Assessing instruction following in multimodal models at scale. CoRR Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan
2022	J	`jnl`	Learning Robust Kernel Ensembles with Kernel Average Pooling. CoRR Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren
2022	J	`jnl`	Towards Out-of-Distribution Adversarial Robustness. CoRR Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan
2021	A*	`conf`	Adversarial Feature Desensitization. NeurIPS Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish
2020	J	`jnl`	Adversarial Feature Desensitization. CoRR Pouya Bashivan, Blake A. Richards, Irina Rish
2019	A*	`conf`	A Neurobiological Evaluation Metric for Neural Network Model Search. CVPR Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
2019	A*	`conf`	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS 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
2019	J	`jnl`	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. CoRR 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
2019	J	`jnl`	Continual Learning with Self-Organizing Maps. CoRR Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu
2019	A*	`conf`	Teacher Guided Architecture Search. ICCV Pouya Bashivan, Mark Tensen, James J. DiCarlo
2018	J	`jnl`	A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks. CoRR Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
2018	J	`jnl`	Teacher Guided Architecture Search. CoRR Pouya Bashivan, Mark Tensen, James J. DiCarlo
2017	J	`jnl`	Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks. CoRR Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, Russell Greiner
2017	—	`conf`	Learning discriminative functional network features of schizophrenia. Biomedical Applications in Molecular, Structural, and Functional Imaging Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pouya Bashivan, Pablo Polosecki, Serdar M. Dursun
2017	B	`conf`	Temporal progression in functional connectivity determines individual differences in working memory capacity. IJCNN Pouya Bashivan, Mohammed Yeasin, Gavin M. Bidelman
2016	—	`conf`	Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach. Biomedical Applications in Molecular, Structural, and Functional Imaging Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein
2016	A*	`conf`	Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks. ICLR (Poster) Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella
2016	J	`jnl`	Mental State Recognition via Wearable EEG. CoRR Pouya Bashivan, Irina Rish, Steve Heisig