Bashivan, Pouya

12 publications

NeurIPS 2025 Caption This, Reason That: VLMs Caught in the Middle Zihan Weng, Lucas Gomez, Taylor Whittington Webb, Pouya Bashivan

ICLR 2025 Credit-Based Self Organizing Maps: Training Deep Topographic Networks with Minimal Performance Degradation Amirozhan Dehghani, Xinyu Qian, Asa Farahani, Pouya Bashivan

NeurIPS 2024 Geometry of Naturalistic Object Representations in Recurrent Neural Network Models of Working Memory Xiaoxuan Lei, Takuya Ito, Pouya Bashivan

ICMLW 2024 Local Lateral Connectivity Is Sufficient for Replicating Cortex-like Topographical Organization in Deep Neural Networks Xinyu Qian, Amirozhan Dehghani, Asa Borzabadifarahani, Pouya Bashivan

ICMLW 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

ICMLW 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

CoLLAs 2024 iWISDM: Assessing Instruction Following in Multimodal Models at Scale Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan

ICMLW 2024 iWISDM: Assessing Instruction Following in Multimodal Models at Scale Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, Pouya Bashivan

ICMLW 2023 Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan

NeurIPS 2021 Adversarial Feature Desensitization Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Richards, Irina Rish

NeurIPS 2019 Brain-like Object Recognition with High-Performing Shallow Recurrent ANNs Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Rishi Rajalingham, Ha Hong, Najib Majaj, Elias Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L Yamins, James J DiCarlo

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