Picture for Aukosh Jagannath

Aukosh Jagannath

Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models

Add code
Feb 24, 2025
Viaarxiv icon

Local geometry of high-dimensional mixture models: Effective spectral theory and dynamical transitions

Add code
Feb 21, 2025
Viaarxiv icon

High-dimensional SGD aligns with emerging outlier eigenspaces

Add code
Oct 04, 2023
Viaarxiv icon

Optimality of Message-Passing Architectures for Sparse Graphs

Add code
May 17, 2023
Viaarxiv icon

Concentration of the exponential mechanism and differentially private multivariate medians

Add code
Oct 12, 2022
Figure 1 for Concentration of the exponential mechanism and differentially private multivariate medians
Figure 2 for Concentration of the exponential mechanism and differentially private multivariate medians
Figure 3 for Concentration of the exponential mechanism and differentially private multivariate medians
Viaarxiv icon

High-dimensional limit theorems for SGD: Effective dynamics and critical scaling

Add code
Jun 08, 2022
Figure 1 for High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Figure 2 for High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Figure 3 for High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Figure 4 for High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Viaarxiv icon

Effects of Graph Convolutions in Deep Networks

Add code
Apr 20, 2022
Figure 1 for Effects of Graph Convolutions in Deep Networks
Figure 2 for Effects of Graph Convolutions in Deep Networks
Figure 3 for Effects of Graph Convolutions in Deep Networks
Figure 4 for Effects of Graph Convolutions in Deep Networks
Viaarxiv icon

Graph Attention Retrospective

Add code
Apr 02, 2022
Figure 1 for Graph Attention Retrospective
Figure 2 for Graph Attention Retrospective
Figure 3 for Graph Attention Retrospective
Figure 4 for Graph Attention Retrospective
Viaarxiv icon

Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization

Add code
Feb 22, 2021
Figure 1 for Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Figure 2 for Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Figure 3 for Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Figure 4 for Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Viaarxiv icon

Low-Degree Hardness of Random Optimization Problems

Add code
Apr 25, 2020
Viaarxiv icon