Fooling Neural Network Interpretations via Adversarial Model Manipulation. - Juyeon Heo; Sunghwan Joo; Taesup Moon (NeurIPS, 2019)

Towards More Robust Interpretation via Local Gradient Alignment. - Sunghwan Joo; Seokhyeon Jeong; Juyeon Heo; Adrian Weller; Taesup Moon (AAAI, 2023)

GeValDi: Generative Validation of Discriminative Models. - Vivek Palaniappan; Matthew Ashman; Katherine M. Collins; Juyeon Heo; Adrian Weller; Umang Bhatt (Tiny Papers @ ICLR, 2023)

Robust Explanation Constraints for Neural Networks. - Matthew Wicker; Juyeon Heo; Luca Costabello; Adrian Weller (ICLR, 2023)

Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. - Juyeon Heo; Pingfan Song; Weiyang Liu; Adrian Weller (MICCAI (2), 2023)

Use perturbations when learning from explanations. - Juyeon Heo; Vihari Piratla; Matthew Wicker; Adrian Weller (NeurIPS, 2023)

Robust Learning from Explanations. - Juyeon Heo; Vihari Piratla; Matthew Wicker; Adrian Weller (CoRR, 2023)

Estimation of Concept Explanations Should be Uncertainty Aware. - Vihari Piratla; Juyeon Heo; Sukriti Singh; Adrian Weller (CoRR, 2023)

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. - Weiyang Liu; Zeju Qiu; Yao Feng 001; Yuliang Xiu; Yuxuan Xue; Longhui Yu; Haiwen Feng; Zhen Liu 019; Juyeon Heo; Songyou Peng; Yandong Wen; Michael J. Black; et al. (ICLR, 2024)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

Do Concept Bottleneck Models Obey Locality? - Naveen Raman 001; Mateo Espinosa Zarlenga; Juyeon Heo; Mateja Jamnik (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 LLMs "know" internally when they follow instructions? - Juyeon Heo; Christina Heinze-Deml; Oussama Elachqar; Shirley You Ren; Udhay Nallasamy; Andy Miller; Kwan Ho Ryan Chan; Jaya Narain (CoRR, 2024)

Leveraging Task Structures for Improved Identifiability in Neural Network Representations. - Wenlin Chen; Julien Horwood; Juyeon Heo; José Miguel Hernández-Lobato (Trans. Mach. Learn. Res., 2024)

LLMs on interactive feature collections with implicit dynamic decision strategy. - Juyeon Heo; Vihari Piratla; Kyunghyun Lee 006; Hyonkeun Joh; Adrian Weller (COLING, 2025)

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. - Shoaib Ahmed Siddiqui; Yanzhi Chen; Juyeon Heo; Menglin Xia; Adrian Weller (COLING, 2025)

Do LLMs "know" internally when they follow instructions? - Juyeon Heo; Christina Heinze-Deml; Oussama Elachqar; Kwan Ho Ryan Chan; Shirley You Ren; Andrew C. Miller; Udhyakumar Nallasamy; Jaya Narain (ICLR, 2025)

Do LLMs estimate uncertainty well in instruction-following? - Juyeon Heo; Miao Xiong; Christina Heinze-Deml; Jaya Narain (ICLR, 2025)

Do Concept Bottleneck Models Respect Localities? - Naveen Janaki Raman; Mateo Espinosa Zarlenga; Juyeon Heo; Mateja Jamnik (Trans. Mach. Learn. Res., 2025)