Gabriel Kreiman

72 papers A* 17Misc 2Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement. ICLR Morgan Bruce Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv
2025	J	`jnl`	Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance. CoRR Lorenzo Tausani, Paolo Muratore, Morgan B. Talbot, Giacomo Amerio, Gabriel Kreiman, Davide Zoccolan
2025	A*	`conf`	The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function. AAAI Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman
2025	J	`jnl`	Tuned Compositional Feature Replays for Efficient Stream Learning. IEEE Trans. Neural Networks Learn. Syst. Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang, Gabriel Kreiman
2025	J	`jnl`	Unraveling the geometry of visual relational reasoning. CoRR Jiaqi Shang, Gabriel Kreiman, Haim Sompolinsky
2024	A*	`conf`	Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret S. Livingstone, Gabriel Kreiman
2024	J	`jnl`	Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. CoRR Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret S. Livingstone, Gabriel Kreiman
2024	A*	`conf`	Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli. NeurIPS Christopher Wang, Adam Uri Yaari, Aaditya Singh, Vighnesh Subramaniam, Dana Rosenfarb, Jan DeWitt, Pranav Misra, Joseph R. Madsen, Scellig S. Stone, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
2024	J	`jnl`	Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks. Nat. Mac. Intell. Chenguang Li, Gabriel Kreiman, Sharad Ramanathan
2024	A*	`conf`	Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. ICLR Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera
2024	J	`jnl`	Is AI fun? HumorDB: a curated dataset and benchmark to investigate graphical humor. CoRR Veedant Jain, Felipe dos Santos Alves Feitosa, Gabriel Kreiman
2024	J	`jnl`	L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement. CoRR Morgan B. Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv
2024	J	`jnl`	Look Around! Unexpected gains from training on environments in the vicinity of the target. CoRR Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman
2024	A*	`conf`	Revealing Vision-Language Integration in the Brain with Multimodal Networks. ICML Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
2024	J	`jnl`	Revealing Vision-Language Integration in the Brain with Multimodal Networks. CoRR Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
2023	A*	`conf`	BrainBERT: Self-supervised representation learning for intracranial recordings. ICLR Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
2023	J	`jnl`	BrainBERT: Self-supervised representation learning for intracranial recordings. CoRR Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
2023	A*	`conf`	Emergence of Sparse Representations from Noise. ICML Trenton Bricken, Rylan Schaeffer, Bruno A. Olshausen, Gabriel Kreiman
2023	J	`jnl`	Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization. CoRR Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera
2023	A*	`conf`	Learning to Learn: How to Continuously Teach Humans and Machines. ICCV Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang
2023	A*	`conf`	Sparse Distributed Memory is a Continual Learner. ICLR Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman
2023	J	`jnl`	Sparse Distributed Memory is a Continual Learner. CoRR Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman
2023	—	`conf`	White-Box Adversarial Policies in Deep Reinforcement Learning. SafeAI@AAAI Stephen Casper, Dylan Hadfield-Menell, Gabriel Kreiman
2022	J	`jnl`	Beyond the Cane: Describing Urban Scenes to Blind People for Mobility Tasks. ACM Trans. Access. Comput. Karst M. P. Hoogsteen, Sarit Szpiro, Gabriel Kreiman, Eli Peli
2022	J	`jnl`	Efficient Zero-shot Visual Search via Target and Context-aware Transformer. CoRR Zhiwei Ding, Xuezhe Ren, Erwan J. David, Melissa Le-Hoa Vo, Gabriel Kreiman, Mengmi Zhang
2022	A*	`conf`	Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. ICML Giorgia Dellaferrera, Gabriel Kreiman
2022	J	`jnl`	Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. CoRR Giorgia Dellaferrera, Gabriel Kreiman
2022	J	`jnl`	Human or Machine? Turing Tests for Vision and Language. CoRR Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar, Marcelo Armendáriz, Noga Mudrik, Prachi Agrawal, Spandan Madan, Andrei Barbu, Haochen Yang, Tanishq Kumar, Meghna Sadwani, Stella Dellaferrera, Michele Pizzochero, Hanspeter Pfister, Gabriel Kreiman
2022	J	`jnl`	Learning to Learn: How to Continuously Teach Humans and Machines. CoRR Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang
2022	J	`jnl`	Look twice: A generalist computational model predicts return fixations across tasks and species. PLoS Comput. Biol. Mengmi Zhang, Marcelo Armendáriz, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman
2022	J	`jnl`	On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering. CoRR Ankur Sikarwar, Gabriel Kreiman
2022	J	`jnl`	Reason from Context with Self-supervised Learning. CoRR Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang
2022	A*	`conf`	Robust Feature-Level Adversaries are Interpretability Tools. NeurIPS Stephen Casper, Max Nadeau, Dylan Hadfield-Menell, Gabriel Kreiman
2022	J	`jnl`	What makes domain generalization hard? CoRR Spandan Madan, Li You, Mengmi Zhang, Hanspeter Pfister, Gabriel Kreiman
2022	J	`jnl`	White-Box Adversarial Policies in Deep Reinforcement Learning. CoRR Stephen Casper, Dylan Hadfield-Menell, Gabriel Kreiman
2021	A*	`conf`	Frivolous Units: Wider Networks Are Not Really That Wide. AAAI Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman
2021	J	`jnl`	Hypothesis-driven Stream Learning with Augmented Memory. CoRR Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman
2021	J	`jnl`	Look Twice: A Computational Model of Return Fixations across Tasks and Species. CoRR Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman
2021	J	`jnl`	One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features. CoRR Stephen Casper, Max Nadeau, Gabriel Kreiman
2021	A*	`conf`	Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases. NeurIPS Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman
2021	J	`jnl`	Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases. CoRR Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman
2021	J	`jnl`	What can human minimal videos tell us about dynamic recognition models? CoRR Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman
2021	A*	`conf`	When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. ICCV Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman
2021	J	`jnl`	When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. CoRR Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman
2020	J	`jnl`	A neural network trained for prediction mimics diverse features of biological neurons and perception. Nat. Mach. Intell. William Lotter, Gabriel Kreiman, David D. Cox
2020	J	`jnl`	Adversarial images for the primate brain. CoRR Li Yuan, Will Xiao, Gabriel Kreiman, Francis E. H. Tay, Jiashi Feng, Margaret S. Livingstone
2020	A*	`conf`	Can Deep Learning Recognize Subtle Human Activities? CVPR Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman
2020	J	`jnl`	Can Deep Learning Recognize Subtle Human Activities? CoRR Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman
2020	A*	`conf`	Putting Visual Object Recognition in Context. CVPR Mengmi Zhang, Claire Tseng, Gabriel Kreiman
2020	J	`jnl`	XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization. PLoS Comput. Biol. Will Xiao, Gabriel Kreiman
2019	J	`jnl`	Gradient-free activation maximization for identifying effective stimuli. CoRR Will Xiao, Gabriel Kreiman
2019	J	`jnl`	Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. CoRR Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman
2019	J	`jnl`	Putting visual object recognition in context. CoRR Mengmi Zhang, Claire Tseng, Gabriel Kreiman
2019	J	`jnl`	Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks. CoRR Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman
2018	J	`jnl`	A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception. CoRR William Lotter, Gabriel Kreiman, David D. Cox
2018	—	`conf`	Automating Interictal Spike Detection: Revisiting A Simple Threshold Rule. EMBC Anil Palepu, Christine Sharmini Premanathan, Feraz Azhar, Martina Vendrame, Tobias Loddenkemper, Claus Reinsberger, Gabriel Kreiman, Kimberly A. Parkerson, Sridevi V. Sarma, William S. Anderson
2018	J	`jnl`	Finding any Waldo: zero-shot invariant and efficient visual search. CoRR Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman
2018	J	`jnl`	Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition. CoRR Kevin Wu, Eric Wu, Gabriel Kreiman
2018	Misc	`conf`	Learning scene gist with convolutional neural networks to improve object recognition. CISS Kevin Wu, Eric Wu, Gabriel Kreiman
2018	J	`jnl`	What am I searching for? CoRR Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman
2018	J	`jnl`	What is changing when: Decoding visual information in movies from human intracranial recordings. NeuroImage Leyla Isik, Jedediah Singer, Joseph R. Madsen, Nancy Kanwisher, Gabriel Kreiman
2017	—	`conf`	Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. ICLR (Poster) William Lotter, Gabriel Kreiman, David D. Cox
2017	J	`jnl`	On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations. CoRR Nicholas Cheney, Martin Schrimpf, Gabriel Kreiman
2017	J	`jnl`	Recurrent computations for visual pattern completion. CoRR Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David D. Cox, Gabriel Kreiman
2016	Misc	`conf`	A machine learning approach to predict episodic memory formation. CISS Hanlin Tang, Jedediah Singer, Matias Ison, Gnel Pivazyan, Melissa Romaine, Elizabeth Meller, Victoria Perron, Marlise Arlellano, Gabriel Kreiman, Adriana Boulin, Rosa Frias, James Carroll, Sarah Dowcett
2016	J	`jnl`	Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. CoRR William Lotter, Gabriel Kreiman, David D. Cox
2015	J	`jnl`	Unsupervised Learning of Visual Structure using Predictive Generative Networks. CoRR William Lotter, Gabriel Kreiman, David D. Cox
2012	J	`jnl`	Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-Down Connections. PLoS Comput. Biol. Kendra S. Burbank, Gabriel Kreiman
2012	J	`jnl`	Theory on the Coupled Stochastic Dynamics of Transcription and Splice-Site Recognition. PLoS Comput. Biol. Rajamanickam Murugan, Gabriel Kreiman
2011	—	`conf`	Decoding ensemble activity from neurophysiological recordings in the temporal cortex. EMBC Gabriel Kreiman
2011	J	`jnl`	Nine Criteria for a Measure of Scientific Output. Frontiers Comput. Neurosci. Gabriel Kreiman, John H. R. Maunsell
2008	J	`jnl`	Biological object recognition. Scholarpedia Gabriel Kreiman