Juhan Bae

According to our database, Juhan Bae authored at least 22 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo

CoRR, 2024

Influence Functions for Scalable Data Attribution in Diffusion Models.

Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E. Turner

CoRR, 2024

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions.

Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff G. Schneider, Eduard H. Hovy, Roger B. Grosse, Eric P. Xing

CoRR, 2024

Training Data Attribution via Approximate Unrolled Differentiation.

Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse

CoRR, 2024

Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective.

Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Using Large Language Models for Hyperparameter Optimization.

Michael R. Zhang, Nishkrit Desai, Juhan Bae, Jonathan Lorraine, Jimmy Ba

CoRR, 2023

Studying Large Language Model Generalization with Influence Functions.

Roger B. Grosse, Juhan Bae, Cem Anil, Nelson Elhage, Alex Tamkin, Amirhossein Tajdini, Benoit Steiner, Dustin Li, Esin Durmus, Ethan Perez, Evan Hubinger, Kamile Lukosiute, Karina Nguyen, Nicholas Joseph, Sam McCandlish, Jared Kaplan, Samuel R. Bowman

CoRR, 2023

Benchmarking Neural Network Training Algorithms.

George E. Dahl, Frank Schneider, Zachary Nado, Naman Agarwal, Chandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, Runa Eschenhagen, Priya Kasimbeg, Daniel Suo, Juhan Bae, Justin Gilmer, Abel L. Peirson, Bilal Khan, Rohan Anil, Mike Rabbat, Shankar Krishnan, Daniel Snider, Ehsan Amid, Kongtao Chen, Chris J. Maddison, Rakshith Vasudev, Michal Badura, Ankush Garg, Peter Mattson

CoRR, 2023

Efficient Parametric Approximations of Neural Network Function Space Distance.

Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse

Proceedings of the International Conference on Machine Learning, 2023

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 Baker Grosse

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Amortized Proximal Optimization.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes.

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

CoRR, 2021

On Monotonic Linear Interpolation of Neural Network Parameters.

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

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians.

Juhan Bae, Roger B. Grosse

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Fast 6DOF Pose Estimation with Synthetic Textureless CAD Model for Mobile Applications.

Bowen Chen, Juhan Bae, Dibyendu Mukherjee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Eigenvalue Corrected Noisy Natural Gradient.

Juhan Bae, Guodong Zhang, Roger B. Grosse

CoRR, 2018

Learnable Pooling Methods for Video Classification.

Sebastian Kmiec, Juhan Bae, Ruijian An

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Study on HDR/WCG Service Model for UHD Service.

Juhan Bae, Jeongyeon Lim, So-Ki Jung

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2015

Robust visual tracking through deep learning-based confidence evaluation.

Euntae Hong, Juhan Bae, Jongwoo Lim

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

2014

Semi-online video stabilization using probabilistic keyframe update and inter-keyframe motion smoothing.

Juhan Bae, Youngbae Hwang, Jongwoo Lim

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Background subtraction using edge cues and color difference for stabilized CMOS images.

Juhan Bae, Youngbae Hwang, Byeongho Choi

Proceedings of the IEEE International Conference on Consumer Electronics, 2013