2023 – Page 2 – Data Science & Artificial Intelligence Laboratory

GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning

Bumju Kwak, Jiwon Park, Taewon Kang, Jeonghee Jo, Byunghan Lee, Sungroh Yoon, ACS Omega, vol. 8, no. 42, pp. 38773-39944, October 2023.
paper link arXiv

23 October 2023

Journal, Sungroh Yoon

Generating Instance-level Prompts for Rehearsal-free Continual Learning

Dahuin Jung et al., in Proceedings of International Conference on Computer Vision (ICCV), Paris, France, October 2023.
preprint link arXiv

02 October 2023

Conference, Sungroh Yoon

Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model

Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, SeungWook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon, Artificial Intelligence in Medicine, vol. 144, 102654, October 2023.
paper link

01 October 2023

Journal, Sungroh Yoon

1.5 million materials narratives generated by chatbots

Yang Jeong Park, Sung Eun Jerng, Jin-Sung Park, Choah Kwon, Chia-Wei Hsu, Zhichu Ren, Sungroh Yoon, Ju Li, arXiv:2308.13687 [cond-mat.mtrl-sci, cs.CL], August 2023.
paper link

25 August 2023

arXiv, Sungroh Yoon

Speaker-adaptive Speech Synthesis with Untranscribed Data

Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon, in Proceedings of the 24th Interspeech Conference (INTERSPEECH), Dublin, Ireland, August 2023.
preprint link arXiv

20 August 2023

Conference, Sungroh Yoon

AIVariant: a deep learning based somatic variant detector for highly contaminated tumor samples

Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Sun Kim, Sungroh Yoon, Daehyun Baek, Experimental & Molecular Medicine, https://doi.org/10.1038/s12276-023-01049-2, August 2023.
paper link

01 August 2023

Journal, Sungroh Yoon

Probabilistic Concept Bottleneck Models

Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Honolulu, USA, July 2023.
preprint link arXiv

23 July 2023

Conference, Sungroh Yoon

On the Impact of Knowledge Distillation for Model Interpretability

Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Honolulu, USA, July 2023.
preprint link arXiv

23 July 2023

Conference, Sungroh Yoon

Improving Visual Prompt Tuning for Self-supervised Vision Transformers

Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Honolulu, USA, July 2023.
preprint link arXiv

23 July 2023

Conference, Sungroh Yoon

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It

Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 2023.
preprint link arXiv

09 July 2023

Conference, Sungroh Yoon

Publications

GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning

Generating Instance-level Prompts for Rehearsal-free Continual Learning

Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model

1.5 million materials narratives generated by chatbots

Speaker-adaptive Speech Synthesis with Untranscribed Data

AIVariant: a deep learning based somatic variant detector for highly contaminated tumor samples

Probabilistic Concept Bottleneck Models

On the Impact of Knowledge Distillation for Model Interpretability

Improving Visual Prompt Tuning for Self-supervised Vision Transformers

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It

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