Dynamic Detection-Tracking Switching. - Andries Bruno; Junhyeon Park; Sung Ju Hwang; Minwoo Kim (ICUFN, 2018)

Stochastic Subset Selection. - Tuan A. Nguyen; Andreis Bruno; Juho Lee 001; Eunho Yang; Sung Ju Hwang (CoRR, 2020)

Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. - Andreis Bruno; Jeffrey Willette; Juho Lee 001; Sung Ju Hwang (NeurIPS, 2021)

Set Based Stochastic Subsampling. - Bruno Andreis; Seanie Lee; Tuan A. Nguyen; Juho Lee 001; Eunho Yang; Sung Ju Hwang (ICML, 2022)

Set-based Meta-Interpolation for Few-Task Meta-Learning. - Seanie Lee; Bruno Andreis; Kenji Kawaguchi; Juho Lee 001; Sung Ju Hwang (NeurIPS, 2022)

Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation. - Hyunsu Rhee; Dongchan Min; Sunil Hwang; Bruno Andreis; Sung Ju Hwang (CoRR, 2022)

Universal Mini-Batch Consistency for Set Encoding Functions. - Jeffrey Willette; Andreis Bruno; Juho Lee 001; Sung Ju Hwang (CoRR, 2022)

Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. - Jeffrey Willette; Seanie Lee; Bruno Andreis; Kenji Kawaguchi; Juho Lee 001; Sung Ju Hwang (ICML, 2023)

Set-based Neural Network Encoding. - Bruno Andreis; Bedionita Soro; Sung Ju Hwang (CoRR, 2023)

Set-based Neural Network Encoding Without Weight Tying. - Bruno Andreis; Bedionita Soro; Philip H. S. Torr; Sung Ju Hwang (NeurIPS, 2024)

Diffusion-based Neural Network Weights Generation. - Bedionita Soro; Bruno Andreis; Hayeon Lee; Song Chong; Frank Hutter; Sung Ju Hwang (CoRR, 2024)

Diffusion-based Neural Network Weights Generation. - Bedionita Soro; Bruno Andreis; Hayeon Lee; Wonyong Jeong; Song Chong; Frank Hutter; Sung Ju Hwang (ICLR, 2025)

Instruction-Guided Autoregressive Neural Network Parameter Generation. - Bedionita Soro; Bruno Andreis; Song Chong; Sung Ju Hwang (CoRR, 2025)

Robust Molecular Property Prediction via Densifying Scarce Labeled Data. - Jina Kim; Jeffrey Willette; Bruno Andreis; Sung Ju Hwang (CoRR, 2025)