Dan Yamins

Affiliations:
  • Stanford University, Department of Psychology, CA, USA
  • Massachusetts Institute of Technology (MIT), McGovern Institute for Brain Research, Cambridge, MA, USA
  • Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA


According to our database1, Dan Yamins authored at least 67 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion.
Neural Comput., January, 2024

2023
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation.
PLoS Comput. Biol., October, 2023

Challenges in Evaluating Technological Interventions for Affect Regulation.
IEEE Trans. Affect. Comput., 2023

Counterfactual World Modeling for Physical Dynamics Understanding.
CoRR, 2023

Unifying (Machine) Vision via Counterfactual World Modeling.
CoRR, 2023

Measuring and Modeling Physical Intrinsic Motivation.
CoRR, 2023

Developmental Curiosity and Social Interaction in Virtual Agents.
CoRR, 2023

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are These the Same Apple? Comparing Images Based on Object Intrinsics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition.
Neural Comput., 2022

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Unsupervised Segmentation in Real-World Images via Spelke Object Inference.
Proceedings of the Computer Vision - ECCV 2022, 2022

FAR: End-to-End Vibrotactile Distributed System Designed to Facilitate Affect Regulation in Children Diagnosed with Autism Spectrum Disorder Through Slow Breathing.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Unsupervised neural network models of the ventral visual stream.
Proc. Natl. Acad. Sci. USA, 2021

Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion.
CoRR, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.
CoRR, 2021

Explanatory models in neuroscience: Part 1 - taking mechanistic abstraction seriously.
CoRR, 2021

Explanatory models in neuroscience: Part 2 - constraint-based intelligibility.
CoRR, 2021

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI.
CoRR, 2021

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Physion: Evaluating Physical Prediction from Vision in Humans and Machines.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Conditional Negative Sampling for Contrastive Learning of Visual Representations.
Proceedings of the 9th International Conference on Learning Representations, 2021

Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.
CoRR, 2020

On Mutual Information in Contrastive Learning for Visual Representations.
CoRR, 2020

Pruning neural networks without any data by iteratively conserving synaptic flow.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Identifying Learning Rules From Neural Network Observables.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Physical Graph Representations from Visual Scenes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Visual Grounding of Learned Physical Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Two Routes to Scalable Credit Assignment without Weight Symmetry.
Proceedings of the 37th International Conference on Machine Learning, 2020

Active World Model Learning with Progress Curiosity.
Proceedings of the 37th International Conference on Machine Learning, 2020

Flexible and Efficient Long-Range Planning Through Curious Exploration.
Proceedings of the 37th International Conference on Machine Learning, 2020

Unsupervised Learning From Video With Deep Neural Embeddings.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning in Social Environments with Curious Neural Agents.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Unsupervised Learning from Video with Deep Neural Embeddings.
CoRR, 2019

Local Label Propagation for Large-Scale Semi-Supervised Learning.
CoRR, 2019

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Local Aggregation for Unsupervised Learning of Visual Embeddings.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents.
CoRR, 2018

Common Object Representations for Visual Production and Recognition.
Cogn. Sci., 2018

Task-Driven Convolutional Recurrent Models of the Visual System.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Flexible neural representation for physics prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Play With Intrinsically-Motivated, Self-Aware Agents.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Modular Continual Learning in a Unified Visual Environment.
Proceedings of the 6th International Conference on Learning Representations, 2018

Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons.
Frontiers Comput. Neurosci., 2017

A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment.
CoRR, 2017

Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Common object representations for visual recognition and production.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition.
PLoS Comput. Biol., 2014

Mapping core similarity among visual objects across image modalities.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013
The Neural Representation Benchmark and its Evaluation on Brain and Machine
Proceedings of the 1st International Conference on Learning Representations, 2013

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms.
Proceedings of the 12th Python in Science Conference, 2013

Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Making a Science of Model Search
CoRR, 2012

2010
StarFlow: A Script-Centric Data Analysis Environment.
Proceedings of the Provenance and Annotation of Data and Processes, 2010

2008
Automated global-to-local programming in 1-D spatial multi-agent systems.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Engineering self-organizing multi-agent systems.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2006
The emergence of global properties from local interactions: static properties and one-dimensional patterns.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

2005
Dynamic Task Assignment in Robot Swarms.
Proceedings of the Robotics: Science and Systems I, 2005

Towards a theory of "local to global" in distributed multi-agent systems (II).
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Towards a theory of "local to global" in distributed multi-agent systems (I).
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

2004
Group control and kernels: the 1-d equigrouping problem.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004


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