Kao, Chia Hsiang

8 publications

ICLRW 2024 Advancing Dna Language Models: The Genomics Long-Range Benchmark Chia Hsiang Kao, Evan Trop, McKinley Polen, Yair Schiff, Bernardo P de Almeida, Aaron Gokaslan, Thomas Pierrot, Volodymyr Kuleshov

NeurIPS 2024 AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery Hangyu Zhou, Chia-Hsiang Kao, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala

ICML 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

ICMLW 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

ICMLW 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

ICMLW 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

NeurIPS 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao, Bharath Hariharan

ICLR 2022 MAML Is a Noisy Contrastive Learner in Classification Chia Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen