Papers
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
Andong Wang, Yuning Qiu, Mingyuan Bai et al.
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao, Bingnan Li, Mathieu Salzmann et al.
Generalizing CNNs to graphs with learnable neighborhood quantization
Isaac Osafo Nkansah, Neil Gallagher, Ruchi Sandilya et al.
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
Haoran Li, Zhennan Jiang, Yuhui Chen et al.
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Wanghan Xu, Fenghua Ling, Wenlong Zhang et al.
Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation
Lili Wei, Congyan Lang, Ziyi Chen et al.
Generate Universal Adversarial Perturbations for Few-Shot Learning
Yiman Hu, Yixiong Zou, Ruixuan Li et al.
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
Nicola Dainese, Matteo Merler, Minttu Alakuijala et al.
Generating compositional scenes via Text-to-image RGBA Instance Generation
Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang et al.
Generating Highly Designable Proteins with Geometric Algebra Flow Matching
Simon Wagner, Leif Seute, Vsevolod Viliuga et al.
Generating Origin-Destination Matrices in Neural Spatial Interaction Models
Ioannis Zachos, Mark Girolami, Theodoros Damoulas
Generative Adversarial Model-Based Optimization via Source Critic Regularization
Michael S. Yao, Yimeng Zeng, Hamsa Bastani et al.
Generative Forests
Richard Nock, Mathieu Guillame-Bert
Generative Fractional Diffusion Models
Gabriel Nobis, Maximilian Springenberg, Marco Aversa et al.
Generative Hierarchical Materials Search
Sherry Yang, Simon Batzner, Ruiqi Gao et al.
Generative Modeling of Molecular Dynamics Trajectories
Bowen Jing, Hannes Stärk, Tommi Jaakkola et al.
Generative Modelling of Structurally Constrained Graphs
Manuel Madeira, Clément Vignac, Dorina Thanou et al.
Generative Retrieval Meets Multi-Graded Relevance
Yubao Tang, Ruqing Zhang, Jiafeng Guo et al.
Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao, Qingsong Wen, Xiaoli Li et al.
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeonah Kim, Minsu Kim, Sanghyeok Choi et al.
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
Dominik Klein, Théo Uscidda, Fabian Theis et al.
GenRec: Unifying Video Generation and Recognition with Diffusion Models
Zejia Weng, Xitong Yang, Zhen Xing et al.
GenRL: Multimodal-foundation world models for generalization in embodied agents
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt et al.
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
Junyoung Seo, Kazumi Fukuda, Takashi Shibuya et al.
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Apolline Mellot, Antoine Collas, Sylvain Chevallier et al.