Gabriel Kreiman
Orcid: 0000-0003-3505-8475
According to our database1,
Gabriel Kreiman
authored at least 52 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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Bibliography
2024
Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks.
Nat. Mac. Intell., 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
CoRR, 2024
CoRR, 2024
Look Around! Unexpected gains from training on environments in the vicinity of the target.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
2022
Look twice: A generalist computational model predicts return fixations across tasks and species.
PLoS Comput. Biol., November, 2022
ACM Trans. Access. Comput., 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass.
Proceedings of the International Conference on Machine Learning, 2022
2021
One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization.
PLoS Comput. Biol., 2020
A neural network trained for prediction mimics diverse features of biological neurons and perception.
Nat. Mach. Intell., 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
2018
What is changing when: Decoding visual information in movies from human intracranial recordings.
NeuroImage, 2018
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception.
CoRR, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Learning scene gist with convolutional neural networks to improve object recognition.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations.
CoRR, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
2015
CoRR, 2015
2012
Theory on the Coupled Stochastic Dynamics of Transcription and Splice-Site Recognition.
PLoS Comput. Biol., 2012
Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-Down Connections.
PLoS Comput. Biol., 2012
2011
Decoding ensemble activity from neurophysiological recordings in the temporal cortex.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2008