Daniel Yamins

发表

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

Daniel L. K. Yamins, Josh H. McDermott, Alexander J. E. Kell, 2018, Neuron.

Using goal-driven deep learning models to understand sensory cortex

J. DiCarlo, Daniel Yamins, 2016, Nature Neuroscience.

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures

David D. Cox, James Bergstra, Dan Yamins, 2013, ICML.

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Daniel L. K. Yamins, Ha Hong, Charles F. Cadieu, 2014, PLoS Comput. Biol..

Learning to Play with Intrinsically-Motivated Self-Aware Agents

Daniel L. K. Yamins, Li Fei-Fei, Nick Haber, 2018, NeurIPS.

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

David D. Cox, David Cox, Daniel Yamins, 2013, SciPy.

Making a Science of Model Search pdf

David D. Cox, James Bergstra, Dan Yamins, 2012, ArXiv.

Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System

Jonas Kubilius, Mitra J. Z. Hartmann, Chengxu Zhuang, 2017, NIPS.

Performance-optimized hierarchical models predict neural responses in higher visual cortex

Ha Hong, James J DiCarlo, Ethan A Solomon, 2014, Proceedings of the National Academy of Sciences.

SERVATION LAWS IN DEEP LEARNING DYNAMICS

Daniel Yamins, S. Ganguli, D. Kunin, 2021 .

Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons

Chengxu Zhuang, Dan Yamins, Xiaolin Hu, 2017, Front. Comput. Neurosci..

Direct lung delivery of para-aminosalicylic acid by aerosol particles.

Daniel Yamins, D. Weitz, D. Deaver, 2003, Tuberculosis.

FAR: End-to-End Vibrotactile Distributed System Designed to Facilitate Affect Regulation in Children Diagnosed with Autism Spectrum Disorder Through Slow Breathing

Daniel Yamins, J. Gross, Heather Culbertson, 2022, CHI.

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Kevin A. Smith, Judith E. Fan, Hsiau-Yu Fish Tung, 2021, NeurIPS Datasets and Benchmarks.

Group control and kernels: the 1-d equigrouping problem

Daniel Yamins, N. Khaneja, S. Waydo, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

The Neural Representation Benchmark and its Evaluation on Brain and Machine pdf

Ha Hong, Nicolas Pinto, James J. DiCarlo, 2013, ICLR.

Automated global-to-local programming in 1-D spatial multi-agent systems

Radhika Nagpal, Dan Yamins, Daniel Yamins, 2008, AAMAS.

Flexible Neural Representation for Physics Prediction

Daniel L. K. Yamins, Li Fei-Fei, Joshua B. Tenenbaum, 2018, NeurIPS.

Local Aggregation for Unsupervised Learning of Visual Embeddings

Chengxu Zhuang, Alex Lin Zhai, Dan Yamins, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

StarFlow: A Script-Centric Data Analysis Environment

Margo I. Seltzer, Elaine Angelino, Dan Yamins, 2010, IPAW.

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?

Jonas Kubilius, Martin Schrimpf, Ha Hong, 2018, bioRxiv.

CORnet: Modeling the Neural Mechanisms of Core Object Recognition

Aran Nayebi, Jonas Kubilius, Martin Schrimpf, 2018, bioRxiv.

Common object representations for visual recognition and production

Nicholas B. Turk-Browne, Dan Yamins, Judith E. Fan, 2015, CogSci.

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks

Alex H. Williams, Isabel I. C. Low, Gabriel C. Mel, 2021, bioRxiv.

Towards a theory of "local to global" in distributed multi-agent systems (I)

Dan Yamins, Daniel Yamins, 2005, AAMAS '05.

Task-Driven Convolutional Recurrent Models of the Visual System

Surya Ganguli, Aran Nayebi, Jonas Kubilius, 2018, NeurIPS.

A Unifying Principle for the Functional Organization of Visual Cortex

K. Grill-Spector, J. DiCarlo, Daniel Yamins, 2023, bioRxiv.

Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream

Ha Hong, James J. DiCarlo, Charles F. Cadieu, 2013, NIPS.

Unsupervised Models of Mouse Visual Cortex

Justin L. Gardner, A. Norcia, Daniel Yamins, 2021 .

On the Importance of Views in Unsupervised Representation Learning

Noah D. Goodman, Daniel Yamins, Mike Wu, 2020 .

Self-supervised Neural Network Models of Higher Visual Cortex Development

Aran Nayebi, Chengxu Zhuang, Siming Yan, 2019, 2019 Conference on Cognitive Computational Neuroscience.

The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion pdf

Surya Ganguli, Daniel Kunin, Javier Sagastuy-Brena, 2021, Neural Comput..

CORnet: Modeling the Neural Mechanisms of Core Object Recognition

J. DiCarlo, Daniel Yamins, Aran Nayebi, 2018, bioRxiv.

Unsupervised Learning From Video With Deep Neural Embeddings

Daniel Yamins, Chengxu Zhuang, Alex Andonian, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Common object representations for visual recognition and production

Judith E. Fan, Daniel Yamins, N. Turk-Browne, 2015, CogSci.

Challenges in Evaluating Technological Interventions for Affect Regulation

Daniel Yamins, Horia Margarit, J. Gross, 2021, IEEE Transactions on Affective Computing.

FAR: End-to-End Vibrotactile Distributed System Designed to Facilitate Affect Regulation in Children Diagnosed with Autism Spectrum Disorder Through Slow Breathing

Daniel Yamins, J. Gross, Heather Culbertson, 2022, CHI.

The BabyView camera: Designing a new head-mounted camera to capture children's early social and visual environments.

Michael C. Frank, Daniel Yamins, V. Marchman, 2023, Behavior research methods.

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?

K. Norman, J. DiCarlo, Daniel Yamins, 2022, NeurIPS.

Dynamic Task Assignment in Robot Swarms

James McLurkin, Dan Yamins, Daniel Yamins, 2005, Robotics: Science and Systems.