activity
20142023
most citedDiscovering Hidden Factors of Variation in Deep Networks

134 citations · 153 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NE20231 cited

Computing with Residue Numbers in High-Dimensional Representation

Christopher J. Kymn, Denis Kleyko, E. Paxon Frady +4

We introduce Residue Hyperdimensional Computing, a computing framework that unifies residue number systems with an algebra defined over random, high-dimensional vectors. We show ho…

cs.NE202313 cited

Efficient Decoding of Compositional Structure in Holistic Representations

Denis Kleyko, Connor Bybee, Ping-Chen Huang +4

We investigate the task of retrieving information from compositional distributed representations formed by Hyperdimensional Computing/Vector Symbolic Architectures and present nove…

q-bio.NC2023

Learning Internal Representations of 3D Transformations from 2D Projected Inputs

Marissa Connor, Bruno Olshausen, Christopher Rozell

When interacting in a three dimensional world, humans must estimate 3D structure from visual inputs projected down to two dimensional retinal images. It has been shown that humans…

cs.NE20233 cited

Learning and generalization of compositional representations of visual scenes

E. Paxon Frady, Spencer Kent, Quinn Tran +3

Complex visual scenes that are composed of multiple objects, each with attributes, such as object name, location, pose, color, etc., are challenging to describe in order to train n…

cs.SD20221 cited

Computing with Hypervectors for Efficient Speaker Identification

Ping-Chen Huang, Denis Kleyko, Jan M. Rabaey +2

We introduce a method to identify speakers by computing with high-dimensional random vectors. Its strengths are simplicity and speed. With only 1.02k active parameters and a 128-mi…

cs.IT20171 cited

Opportunities for Analog Coding in Emerging Memory Systems

Jesse H. Engel, S. Burc Eryilmaz, SangBum Kim +5

The exponential growth in data generation and large-scale data analysis creates an unprecedented need for inexpensive, low-latency, and high-density information storage. This need…