Gabriel Kreiman

Orcid: 0000-0003-3505-8475

According to our database1, Gabriel Kreiman authored at least 52 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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

Is AI fun? HumorDB: a curated dataset and benchmark to investigate graphical humor.
CoRR, 2024

Look Around! Unexpected gains from training on environments in the vicinity of the target.
CoRR, 2024

Revealing Vision-Language Integration in the Brain with Multimodal Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Emergence of Sparse Representations from Noise.
Proceedings of the International Conference on Machine Learning, 2023

BrainBERT: Self-supervised representation learning for intracranial recordings.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparse Distributed Memory is a Continual Learner.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Learn: How to Continuously Teach Humans and Machines.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

White-Box Adversarial Policies in Deep Reinforcement Learning.
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

Beyond the Cane: Describing Urban Scenes to Blind People for Mobility Tasks.
ACM Trans. Access. Comput., 2022

Learning to Learn: How to Continuously Teach Humans and Machines.
CoRR, 2022

Efficient Zero-shot Visual Search via Target and Context-aware Transformer.
CoRR, 2022

Human or Machine? Turing Tests for Vision and Language.
CoRR, 2022

Reason from Context with Self-supervised Learning.
CoRR, 2022

What makes domain generalization hard?
CoRR, 2022

On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering.
CoRR, 2022

Robust Feature-Level Adversaries are Interpretability Tools.
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

What can human minimal videos tell us about dynamic recognition models?
CoRR, 2021

Hypothesis-driven Stream Learning with Augmented Memory.
CoRR, 2021

Look Twice: A Computational Model of Return Fixations across Tasks and Species.
CoRR, 2021

Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Frivolous Units: Wider Networks Are Not Really That Wide.
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

Adversarial images for the primate brain.
CoRR, 2020

Putting Visual Object Recognition in Context.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Can Deep Learning Recognize Subtle Human Activities?
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks.
CoRR, 2019

Gradient-free activation maximization for identifying effective stimuli.
CoRR, 2019

Lift-the-Flap: Context Reasoning Using Object-Centered Graphs.
CoRR, 2019

2018
What is changing when: Decoding visual information in movies from human intracranial recordings.
NeuroImage, 2018

What am I searching for?
CoRR, 2018

Finding any Waldo: zero-shot invariant and efficient visual search.
CoRR, 2018

A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception.
CoRR, 2018

Automating Interictal Spike Detection: Revisiting A Simple Threshold Rule.
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
Recurrent computations for visual pattern completion.
CoRR, 2017

On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations.
CoRR, 2017

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
A machine learning approach to predict episodic memory formation.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015
Unsupervised Learning of Visual Structure using Predictive Generative Networks.
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
Nine Criteria for a Measure of Scientific Output.
Frontiers Comput. Neurosci., 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
Biological object recognition.
Scholarpedia, 2008


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