Wang, Kuan-Chieh

24 publications

ICML 2025 I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu

CVPR 2025 Omni-ID: Holistic Identity Representation Designed for Generative Tasks Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman

NeurIPS 2025 Preventing Shortcuts in Adapter Training via Providing the Shortcuts Anujraaj Goyal, Guocheng Qian, Huseyin Coskun, Aarush Gupta, Himmy Tam, Daniil Ostashev, Ju Hu, Dhritiman Sagar, Sergey Tulyakov, Kfir Aberman, Kuan-Chieh Wang

NeurIPS 2024 Interpreting the Weight Space of Customized Diffusion Models Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman

ECCV 2024 Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy

ICLR 2023 Diagnosing and Rectifying Vision Models Using Language Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung

ICCV 2023 Generalizable Neural Fields as Partially Observed Neural Processes Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung

NeurIPS 2023 LOVM: Language-Only Vision Model Selection Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung

NeurIPSW 2023 LOVM: Language-Only Vision Model Selection Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung

CVPR 2023 NeMo: Learning 3D Neural Motion Fields from Multiple Video Instances of the Same Action Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, Karen Liu, Serena Yeung

CVPR 2023 PROB: Probabilistic Objectness for Open World Object Detection Orr Zohar, Kuan-Chieh Wang, Serena Yeung

CoLLAs 2022 Disentanglement and Generalization Under Correlation Shifts Christina M. Funke, Paul Vicol, Kuan-chieh Wang, Matthias Kuemmerer, Richard Zemel, Matthias Bethge

ICLRW 2022 Disentanglement and Generalization Under Correlation Shifts Christina M Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kuemmerer, Richard Zemel, Matthias Bethge

NeurIPSW 2022 DrML: Diagnosing and Rectifying Vision Models Using Language Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung

NeurIPSW 2022 DrML: Diagnosing and Rectifying Vision Models Using Language Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung

AISTATS 2021 Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger Grosse, Joern-Henrik Jacobsen

NeurIPSW 2021 Few Shot Image Generation via Implicit Autoencoding of Support Sets Andy Huang, Kuan-Chieh Wang, Guillaume Rabusseau, Alireza Makhzani

NeurIPS 2021 Grad2Task: Improved Few-Shot Text Classification Using Gradients for Task Representation Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno

NeurIPS 2021 Variational Model Inversion Attacks Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani

ICML 2020 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models Without Sampling Will Grathwohl, Kuan-Chieh Wang, Joern-Henrik Jacobsen, David Duvenaud, Richard Zemel

ICLR 2020 Your Classifier Is Secretly an Energy Based Model and You Should Treat It like One Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky

ICML 2018 Adversarial Distillation of Bayesian Neural Network Posteriors Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger Grosse, Richard Zemel

ICML 2018 Neural Relational Inference for Interacting Systems Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard Zemel

NeurIPS 2017 Dualing GANs Yujia Li, Alexander Schwing, Kuan-Chieh Wang, Richard Zemel