Publications

* denotes equal contribution or advising; † denotes corresponding author

Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

Xihaier Luo†, Xiaoning Qian, Byung-Jun Yoon

ICML 2024

[Project page] [Paper]

Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction

Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo

AAAI - XAI4Sci workshop 2024

[Paper]

Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks

Xihaier Luo†, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo

ICLR 2024

[Project page] [Paper] [Code]

Biologically Interpretable VAE with Supervision for Transcriptomics Data Under Ordinal Perturbations

Seyednami Niyakan Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian

ICLR 2024 Workshop on Machine Learning for Genomics Explorations

[Paper]

Reinstating Continuous Climate Patterns From Small and Discretized Data

Xihaier Luo†, Xiaoning Qian, Nathan Urban, Byung-Jun Yoon

ICML - SynS and ML Workshop 2023

[News] [Paper]

Zero or Infinite Data? Knowledge Synchronized Machine Learning Emulation

Xihaier Luo†, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga, Ahsan Kareem

NeurIPS - AI4Science Workshop 2022

[Paper] [Code]

Feature Importance in a Deep Learning Climate Emulator

Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balu Nadiga

ICLR - AI: Modeling Oceans and Climate Change Workshop 2021

[Paper]