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I study computational neuroscience. I use deep generative models, optimization methods, and differential geometry to investigate visual representations in the brain and in the neural networks.

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Binxu's Projects

actmax-optimizer-dev icon actmax-optimizer-dev

The official repo for GECCO 2022 paper High-Performance Evolutionary Algorithms for Online Neuronal Control in vivo and in silico

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

awesome-neural-geometry icon awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

awgw icon awgw

recreation and expansion of Advance Wars in Java with GridWorld API

belief-propagation icon belief-propagation

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

blendmytorch icon blendmytorch

Produces a list of Blender API commands to make a 3d model of a pytorch model.

bootstrap_lecture icon bootstrap_lecture

Lecture on Bootstrap for WashU Neuro Course "Coding and Statistical Thinking in Neuroscience" 2020

conics icon conics

An interactive conic visualization app used to record this video.

conv-sv icon conv-sv

The Singular Values of Convolutional Layers

convrnns icon convrnns

ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks. Dissection and feature visualization

crossattention-similarity-map icon crossattention-similarity-map

Using Vision transformer's attention head to measure and visualize the similarity of two images. (prototype evolved by DeePSim and BigGAN)

cs188 icon cs188

Introduction to AI course assignment at Berkeley in spring 2019

curiosity_baselines icon curiosity_baselines

An open source reinforcement learning codebase with a variety of intrinsic exploration methods implemented in PyTorch.

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