Yan, Ge

14 publications

ICML 2025 Evaluating Neuron Explanations: A Unified Framework with Sanity Checks Tuomas Oikarinen, Ge Yan, Tsui-Wei Weng

CoRL 2025 Humanoid Policy Human Policy Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng, Chaitanya Chawla, Jialong Li, Tairan He, Ge Yan, David J. Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, Xiaolong Wang

CVPR 2025 Interpretable Generative Models Through Post-Hoc Concept Bottlenecks Akshay Kulkarni, Ge Yan, Chung-En Sun, Tuomas Oikarinen, Tsui-Wei Weng

CoRL 2025 ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training Ge Yan, Jiyue Zhu, Yuquan Deng, Shiqi Yang, Ri-Zhao Qiu, Xuxin Cheng, Marius Memmel, Ranjay Krishna, Ankit Goyal, Xiaolong Wang, Dieter Fox

ICML 2025 QuanONet: Quantum Neural Operator with Application to Differential Equation Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan

ICLR 2024 Provably Robust Conformal Prediction with Improved Efficiency Ge Yan, Yaniv Romano, Tsui-Wei Weng

NeurIPS 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz Ge Yan, Mengfei Ran, Ruocheng Wang, Kaiseng Pan, Junchi Yan

ICLR 2024 Rethinking the Symmetry-Preserving Circuits for Constrained Variational Quantum Algorithms Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan

NeurIPS 2024 VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance Divyansh Srivastava, Ge Yan, Tsui-Wei Weng

CoRL 2023 GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang

ICML 2023 QAS-Bench: Rethinking Quantum Architecture Search and a Benchmark Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan

ICML 2023 Quantum 3D Graph Learning with Applications to Molecule Embedding Ge Yan, Huaijin Wu, Junchi Yan

ICML 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan

ICML 2023 Towards Quantum Machine Learning for Constrained Combinatorial Optimization: A Quantum QAP Solver Xinyu Ye, Ge Yan, Junchi Yan