Juyeon Heo

According to our database, Juyeon Heo authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Do LLMs estimate uncertainty well in instruction-following?

Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

CoRR, 2024

Do LLMs "know" internally when they follow instructions?

Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain

CoRR, 2024

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective.

Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller

CoRR, 2024

Do Concept Bottleneck Models Obey Locality?

Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik

CoRR, 2024

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.

Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Estimation of Concept Explanations Should be Uncertainty Aware.

Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller

CoRR, 2023

Leveraging Task Structures for Improved Identifiability in Neural Network Representations.

Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato

CoRR, 2023

Robust Learning from Explanations.

Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller

CoRR, 2023

Use perturbations when learning from explanations.

Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physics-Based Decoding Improves Magnetic Resonance Fingerprinting.

Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Explanation Constraints for Neural Networks.

Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GeValDi: Generative Validation of Discriminative Models.

Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Towards More Robust Interpretation via Local Gradient Alignment.

Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2019

Fooling Neural Network Interpretations via Adversarial Model Manipulation.

Juyeon Heo, Sunghwan Joo, Taesup Moon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019