Juyeon Heo - RankMe

25 papers A* 7B 2Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Do Concept Bottleneck Models Respect Localities? Trans. Mach. Learn. Res. Naveen Janaki Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik
2025	A*	`conf`	Do LLMs "know" internally when they follow instructions? ICLR Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew C. Miller, Udhyakumar Nallasamy, Jaya Narain
2025	A*	`conf`	Do LLMs estimate uncertainty well in instruction-following? ICLR Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain
2025	B	`conf`	LLMs on interactive feature collections with implicit dynamic decision strategy. COLING Juyeon Heo, Vihari Piratla, Kyunghyun Lee, Hyonkeun Joh, Adrian Weller
2025	B	`conf`	On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. COLING Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller
2024	J	`jnl`	Do Concept Bottleneck Models Obey Locality? CoRR Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik
2024	J	`jnl`	Do LLMs "know" internally when they follow instructions? CoRR Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley You Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain
2024	J	`jnl`	Do LLMs estimate uncertainty well in instruction-following? CoRR Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain
2024	J	`jnl`	Leveraging Task Structures for Improved Identifiability in Neural Network Representations. Trans. Mach. Learn. Res. Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato
2024	—	`conf`	Machine Learning for Health (ML4H) 2024. ML4H@NeurIPS Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang
2024	J	`jnl`	On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. CoRR Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller
2024	A*	`conf`	Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. ICLR 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
2023	J	`jnl`	Estimation of Concept Explanations Should be Uncertainty Aware. CoRR Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller
2023	—	`conf`	GeValDi: Generative Validation of Discriminative Models. Tiny Papers @ ICLR Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt
2023	J	`jnl`	Leveraging Task Structures for Improved Identifiability in Neural Network Representations. CoRR Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato
2023	J	`jnl`	Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. CoRR 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
2023	—	`conf`	Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. MICCAI (2) Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller
2023	A*	`conf`	Robust Explanation Constraints for Neural Networks. ICLR Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller
2023	J	`jnl`	Robust Learning from Explanations. CoRR Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
2023	A*	`conf`	Towards More Robust Interpretation via Local Gradient Alignment. AAAI Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon
2023	A*	`conf`	Use perturbations when learning from explanations. NeurIPS Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
2022	J	`jnl`	Robust Explanation Constraints for Neural Networks. CoRR Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller
2022	J	`jnl`	Towards More Robust Interpretation via Local Gradient Alignment. CoRR Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon
2019	A*	`conf`	Fooling Neural Network Interpretations via Adversarial Model Manipulation. NeurIPS Juyeon Heo, Sunghwan Joo, Taesup Moon
2019	J	`jnl`	Fooling Neural Network Interpretations via Adversarial Model Manipulation. CoRR Juyeon Heo, Sunghwan Joo, Taesup Moon