Profile

Juhan Bae

jbae [at] cs [dot] toronto [dot] edu
CV    Github    Twitter    Google Scholar   

Latest Updated: 04. 29. 2023


Introduction

I am a PhD student in the Machine Learning Group at the University of Toronto and the Vector Institute, supervised by Roger Grosse. I received my HBSc in computer science and statistics from the same university in 2019. I previously interned at Microsoft Research.

I'm interested in understanding wide range of applications in deep learning. I'm currently working on hyperparameter optimization, optimization, and interpretability of deep learning.


Publications

[C10] Efficient Parametric Approximations of Neural Network Function Space Distance

Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Grosse

ICML 2023
Paper Code

[C9] Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Grosse

ICLR 2023  (Oral Presentation)
Paper Code

[C8] If Influence Functions are the Answer, Then What is the Question?

Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger Grosse

NeurIPS 2022
Paper Code 1 Code 2

[C7] Amortized Proximal Optimization

Juhan Bae*, Paul Vicol*, Jeff Z. HaoChen, Roger Grosse

NeurIPS 2022
Paper Code

[C6] Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse

ICML 2021
Paper Code

[C5] Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians

Juhan Bae and Roger Grosse

NeurIPS 2020
Paper Code

[W4] On Monotonic Linear Interpolation of Neural Network Parameters

James Lucas, Juhan Bae, Michael R. Zhang, Richard Zemel, Jimmy Ba, Roger Grosse

NeurIPS 2020, Optimization for Machine Learning Workshop
Paper Code

[W3] Eigenvalue Corrected Noisy Natural Gradient

Juhan Bae, Guodong Zhang, Roger Grosse

NeurIPS 2019, Bayesian Deep Learning Workshop
Paper Code

[C2] Fast 6DOF Pose Estimation with Synthetic Textureless CAD Model for Mobile Applications

Bowen Chen, Juhan Bae, Dibyendu Mukherjee

ICIP 2019
Paper

[W1] Learnable Pooling Methods for Video Classification

Sebastian Kmiec, Juhan Bae, Ruijian An

ECCV 2018, Workshop on YouTube-8M Large-Scale Video Understanding  (Oral Presentation)
Paper Code

Teaching