Paper-Conference

9 posts in this publication_type

Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules

Nov 1, 2024

Do diffusion models generalize on abstract rules for reasoning?

Aug 1, 2024

Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale

Nov 1, 2023

The hidden linear structure in score-based models and its application

Nov 1, 2023

On the Level Sets and Invariance of Neural Tuning Landscapes

On the Level Sets and Invariance of Neural Tuning Landscapes

Dec 1, 2022

High-performance Evolutionary Algorithms for Online Neuron Control

High-performance Evolutionary Algorithms for Online Neuron Control

Apr 1, 2022

Factorized convolution models for interpreting neuron-guided images synthesis

Jan 1, 2022

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation

Dec 1, 2021

The Geometry of Deep Generative Image Models and its Applications

The Geometry of Deep Generative Image Models and its Applications

Jan 1, 2021

Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang

November 1, 2024

Do diffusion models generalize on abstract rules for reasoning?

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang

August 1, 2024

Learning Dynamics

Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale

Learning Dynamics NeuroAI Science of AI Self-supervised learning Computer Vision

Chandana Kuntala

November 1, 2023

The hidden linear structure in score-based models and its application

Diffusion Geometry Generative Model Science of AI

Binxu Wang

November 1, 2023

On the Level Sets and Invariance of Neural Tuning Landscapes

On the Level Sets and Invariance of Neural Tuning Landscapes

Geometry NeuroAI Visual Neuroscience

Binxu Wang

December 1, 2022

High-performance Evolutionary Algorithms for Online Neuron Control

Visual Neuroscience

High-performance Evolutionary Algorithms for Online Neuron Control

Visual Neuroscience Optimization Evolutionary Computing

Binxu Wang

April 1, 2022

Visual Neuroscience

Factorized convolution models for interpreting neuron-guided images synthesis

Visual Neuroscience NeuroAI Neuron Modelling Digital Twins

Binxu Wang

January 1, 2022

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation

NeuroAI Self-supervised learning Visual Neuroscience

Binxu Wang

December 1, 2021

The Geometry of Deep Generative Image Models and its Applications

The Geometry of Deep Generative Image Models and its Applications

Geometry Generative Model Optimization

Binxu Wang

January 1, 2021

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang, Jiaqi Shang, Haim Sompolinsky (2024). Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules. The First Workshop on System-2 Reasoning at Scale, NeurIPS'24.

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang, Jiaqi Shang, Haim Sompolinsky (2024). Do diffusion models generalize on abstract rules for reasoning?. 2024 Conference on Cognitive Computational Neuroscience.

Learning Dynamics NeuroAI Science of AI Self-supervised learning Computer Vision

Chandana Kuntala, Carlos R Ponce, Deepak Kumar Sharma, Binxu Wang (2023). Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale. NeurIPS 2023 UniReps Workshop: the First Workshop on Unifying Representations in Neural Models.

Diffusion Geometry Generative Model Science of AI

Binxu Wang, John J Vastola (2023). The hidden linear structure in score-based models and its application. NeurIPS 2023 Workshop on Diffusion Models (arXiv:2311.10892).

Geometry NeuroAI Visual Neuroscience

Binxu Wang, Carlos R Ponce (2022). On the Level Sets and Invariance of Neural Tuning Landscapes. NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations.

Visual Neuroscience Optimization Evolutionary Computing

Binxu Wang, Carlos R Ponce (2022). High-performance Evolutionary Algorithms for Online Neuron Control. GECCO ‘22: Proceedings of the Genetic and Evolutionary Computation Conference (Best paper nomination).

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Visual Neuroscience NeuroAI Neuron Modelling Digital Twins

Binxu Wang, Carlos R. Ponce (2022). Factorized convolution models for interpreting neuron-guided images synthesis. 2022 Conference on Cognitive Computational Neuroscience.

NeuroAI Self-supervised learning Visual Neuroscience

Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell (2021). On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation. NeurIPS 2021 SVRHM Workshop.

Geometry Generative Model Optimization

Binxu Wang, Carlos R Ponce (2021). The Geometry of Deep Generative Image Models and its Applications. International Conference on Learning Representations, 2021.

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