Kreiman, Gabriel

18 publications

ICCV 2025 HumorDB: Can AI Understand Graphical Humor? Vedaant V Jain, Gabriel Kreiman, Felipe dos Santos Alves Feitosa

ICLR 2025 L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Morgan Bruce Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv

AAAI 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman

NeurIPS 2024 Benchmarking Out-of-Distribution Generalization Capabilities of DNN-Based Encoding Models for the Ventral Visual Cortex. Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret Livingstone, Gabriel Kreiman

NeurIPS 2024 Brain Treebank: Large-Scale Intracranial Recordings from Naturalistic Language Stimuli Christopher Wang, Adam Yaari, Aaditya K Singh, Vighnesh Subramaniam, Dana Rosenfarb, Jan DeWitt, Pranav Misra, Joseph R Madsen, Scellig Stone, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

ICLR 2024 Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera

NeurIPSW 2024 Improving Out-of-Distribution Generalization by Mimicking the Human Visual Diet. Spandan Madan, You Li, Mengmi Zhang, Hanspeter Pfister, Gabriel Kreiman

ICML 2024 Revealing Vision-Language Integration in the Brain with Multimodal Networks Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

ICLR 2023 BrainBERT: Self-Supervised Representation Learning for Intracranial Recordings Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

ICML 2023 Emergence of Sparse Representations from Noise Trenton Bricken, Rylan Schaeffer, Bruno Olshausen, Gabriel Kreiman

ICCV 2023 Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh, You Li, Ankur Sikarwar, Stan Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

ICLR 2023 Sparse Distributed Memory Is a Continual Learner Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman

ICLRW 2023 Workshop Submission: Using Multimodal DNNs to Study Vision-Language Integration in the Brain Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

NeurIPS 2022 Robust Feature-Level Adversaries Are Interpretability Tools Stephen Casper, Max Nadeau, Dylan Hadfield-Menell, Gabriel Kreiman

AAAI 2021 Frivolous Units: Wider Networks Are Not Really That Wide Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman

NeurIPS 2021 Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy Wolfe, Gabriel Kreiman

ICCV 2021 When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman

ICLR 2017 Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning William Lotter, Gabriel Kreiman, David D. Cox