Supervised Contrastive Block Disentanglement
Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Heming Yao, Jan-Christian Huetter, Ana Carolina Leote, Burkhard Hoeckendorf, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, and Romain Lopez
Under review

A framework for multi-modal learning: jointly modeling inter- and intra-modality dependencies
Divyam Madaan, Taro Makino, Sumit Chopra, and Kyunghyun Cho
Advances in Neural Information Processing Systems (NeurIPS), 2024

Detecting incidental correlation in multimodal learning via latent variable modeling
Taro Makino, Yixin Wang, Krzysztof J. Geras, and Kyunghyun Cho
Transactions on Machine Learning Research (TMLR), 2023

Generative multitask learning mitigates target-causing confounding
Taro Makino, Krzysztof J. Geras, and Kyunghyun Cho
Advances in Neural Information Processing Systems (NeurIPS), 2022

Differences between human and machine perception in medical diagnosis
Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, and Krzysztof J. Geras
Nature Scientific Reports, 2022