Papers
11,015 papers found
Gaussian Mixture Convolution Networks
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl et al.
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
Huan He, Shifan Zhao, Yuanzhe Xi et al.
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
Arash Mehrjou, Ashkan Soleymani, Andrew Jesson et al.
Generalisation in Lifelong Reinforcement Learning through Logical Composition
Geraud Nangue Tasse, Steven James, Benjamin Rosman
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
Simon Geisler, Johanna Sommer, Jan Schuchardt et al.
Generalization Through the Lens of Leave-One-Out Error
Gregor Bachmann, Thomas Hofmann, Aurelien Lucchi
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu
Generalized Demographic Parity for Group Fairness
Zhimeng Jiang, Xiaotian Han, Chao Fan et al.
Generalized Kernel Thinning
Raaz Dwivedi, Lester Mackey
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs
Andjela Mladenovic, Iosif Sakos, Gauthier Gidel et al.
Generalized rectifier wavelet covariance models for texture synthesis
Antoine Brochard, Sixin Zhang, Stéphane Mallat
Generalizing Few-Shot NAS with Gradient Matching
Shoukang Hu, Ruochen Wang, Lanqing HONG et al.
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Sihyun Yu, Jihoon Tack, Sangwoo Mo et al.
Generative Modeling with Optimal Transport Maps
Litu Rout, Alexander Korotin, Evgeny Burnaev
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian, Xavier Puig, Yonglong Tian et al.
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
Haichao Zhang, Wei Xu, Haonan Yu
Generative Principal Component Analysis
Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh et al.
Generative Pseudo-Inverse Memory
Kha Pham, Hung Le, Man Ngo et al.
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu, Lantao Yu, Yang Song et al.
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
Johannes Brandstetter, Rob Hesselink, Elise van der Pol et al.
Geometric Transformers for Protein Interface Contact Prediction
Alex Morehead, Chen Chen, Jianlin Cheng
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
Wang Yifan, Lukas Rahmann, Olga Sorkine-hornung
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
yiqi jiang, Zhiyu Tan, Junyan Wang et al.
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Yunjiang Jiang, Han Zhang, Yiming Qiu et al.
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
Xiyuan Wang, Muhan Zhang