| Recent papers |
A. Bogatskiy, B. Anderson, J. Offermann, M. Roussi, D. Miller and R. Kondor:
Lorentz group equivariant neural network for particle physics (ICML 2020)
[preprint]
[bib]
E. H. Thiede, T. Son Hy and R. Kondor:
The general theory of permutation equivarant neural networks and higher order graph variational encoders
(April 2020)
[bib]
B. Anderson, T. Son Hy and R. Kondor:
Cormorant: Covariant molecular neural networks (NeurIPS 2019)
[bib]
K. Swanson, S. Trivedi, J. Lequieu, K. Swanson and R. Kondor:
Deep learning for automated classification and characterization of amorphous materials
(Soft Matter, Royal Society of Chemistry, 2020)
[bib]
R. Kondor, Z. Lin and S. Trivedi:
Clebsch-Gordan nets: a fully Fourier space spherical convolutional neural network (NeurIPS 2018)
T. Son Hy, S. Trivedi, H. Pan, B. M. Anderson and R. Kondor:
Predicting molecular properties with covariant compositional networks
(JCP special issue on data enabled theoretical chemistry, June 2018)
[pdf]
R. Kondor:
N-body networks: a covariant hierarchical neural network architecture for learning
atomic potentials (March 2018)
R. Kondor and S. Trivedi:
On the generalization of equivariance and convolution in neural networks to the action of
compact groups (ICML 2018)
[poster]
[slides]
[preprint]
R. Kondor, Hy Truong Son, Horace Pan, Brandon Anderson, Shubhendu Trivedi:
Covariant compositional networks for learning graphs (preprint, January 2018)
[PyTorch code]
[GraphFlow]
[video]
Y. Ding, R. Kondor and J. Eskreis-Winkler:
Multiresolution kernel approximation for Gaussian process regression (NIPS 2017)
P. K. Mudrakarta and R. Kondor:
A generic multiresolution preconditioner for sparse symmetric systems (preprint 7/7/17)
K. Rajendran, A. A. Kattis, A. Holiday, R. Kondor and I. G. Kevrekidis:
Data mining when each data point is a network
(Patterns of Dynamics, Springer Proceedings)
[preprint]
V. Ithapu, R. Kondor and V. Singh:
The incremental multiresolution matrix factorization algorithm
(CVPR 2017)
R. Kondor and H. Pan:
The Multiscale Laplacian Graph Kernel
(NIPS 2016 oral presentation)
[slides]
[code]
[preprint]
N. Teneva, P. K. Mudrakarta and R. Kondor:
Multiresolution Matrix Compression
(AISTATS 2016, winner of notable student paper award)
R. Kondor, N. Teneva and P. K. Mudrakarta:
Parallel MMF: a Multiresolution Approach to Matrix Computation
(arXiv preprint, July 2015)
[pMMF library]
G. Plumb, D. Pachauri, R. Kondor and V. Singh:
SnFFT: a Julia Toolkit for Harmonic Analysis on the Symmetric Group (JMLR 2015)
D. Pachauri, R. Kondor, G. Sargur and V. Singh:
Permutation diffusion maps with application to the image association problem in computer vision
(NIPS 2014)
R. Kondor, N. Teneva and V. Garg:
Multiresolution Matrix Factorization (ICML 2014)
[supplement]
[video]
|
