Canlyniadau Chwilio - Han, Jiaqi

Geometrically Equivariant Graph Neural Networks: A Survey gan Han, Jiaqi, Rong, Yu, Xu, Tingyang, Huang, Wenbing

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Cael y testun llawn

Equivariant Graph Hierarchy-Based Neural Networks gan Han, Jiaqi, Huang, Wenbing, Xu, Tingyang, Rong, Yu

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Subequivariant Graph Reinforcement Learning in 3D Environments gan Chen, Runfa, Han, Jiaqi, Sun, Fuchun, Huang, Wenbing

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Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning gan Zhang, Yuelin, Cen, Jiacheng, Han, Jiaqi, Huang, Wenbing

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Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models gan Wang, Austin, Han, Jiaqi, Ermon, Stefano, Yue, Yisong

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Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs gan Jiao, Rui, Han, Jiaqi, Huang, Wenbing, Rong, Yu, Liu, Yang

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CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion gan Kazdan, Joshua, Sun, Hao, Han, Jiaqi, Petersen, Felix, Ermon, Stefano

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Geometric Trajectory Diffusion Models gan Han, Jiaqi, Xu, Minkai, Lou, Aaron, Ye, Haotian, Ermon, Stefano

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$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization gan Han, Jiaqi, Jiang, Mingjian, Song, Yuxuan, Ermon, Stefano, Xu, Minkai

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Divergence Minimization Preference Optimization for Diffusion Model Alignment gan Li, Binxu, Xu, Minkai, Han, Jiaqi, Dang, Meihua, Ermon, Stefano

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Equivariant Graph Mechanics Networks with Constraints gan Huang, Wenbing, Han, Jiaqi, Rong, Yu, Xu, Tingyang, Sun, Fuchun, Huang, Junzhou

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Structure-Aware DropEdge Towards Deep Graph Convolutional Networks gan Han, Jiaqi, Huang, Wenbing, Rong, Yu, Xu, Tingyang, Sun, Fuchun, Huang, Junzhou

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An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning gan Chen, Zui, Chen, Yezeng, Han, Jiaqi, Huang, Zhijie, Qi, Ji, Zhou, Yi

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GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters gan Zhao, Wanjia, Han, Jiaqi, Gu, Siyi, Jiang, Mingjian, Zou, James, Ermon, Stefano

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Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement gan Dang, Meihua, Han, Jiaqi, Xu, Minkai, Xu, Kai, Srivastava, Akash, Ermon, Stefano

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CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers gan Han, Jiaqi, Ye, Haotian, Li, Puheng, Xu, Minkai, Zou, James, Ermon, Stefano

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Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation gan Iyengar, Aniketh, Han, Jiaqi, Ruf, Boris, Grari, Vincent, Detyniecki, Marcin, Ermon, Stefano

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Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration gan Han, Jiaqi, Shi, Juntong, Li, Puheng, Ye, Haotian, Guo, Qiushan, Ermon, Stefano

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Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics gan Iyengar, Aniketh, Han, Jiaqi, Sun, Pengwei, Jiang, Mingjian, Xie, Jianwen, Ermon, Stefano

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Learning Physical Dynamics with Subequivariant Graph Neural Networks gan Han, Jiaqi, Huang, Wenbing, Ma, Hengbo, Li, Jiachen, Tenenbaum, Joshua B., Gan, Chuang

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