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Poster
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Thu 16:30
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Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong
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Poster
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Wed 11:00
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Model-based Diffusion for Trajectory Optimization
Chaoyi Pan · Zeji Yi · Guanya Shi · Guannan Qu
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Poster
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Wed 11:00
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[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
Batu Helvacioglu · Ana Vasilcoiu · Thijs Stessen · Thies Kersten
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Poster
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Wed 16:30
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FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
Feijie Wu · Xingchen Wang · Yaqing Wang · Tianci Liu · Lu Su · Jing Gao
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Poster
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Wed 16:30
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Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
Adriel Saporta · Aahlad Manas Puli · Mark Goldstein · Rajesh Ranganath
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Poster
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LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment
Linfeng Dong · Wei Wang · Yu Qiao · Xiao Sun
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Poster
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Fri 11:00
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Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
Miles Hutson · Isaac Kauvar · Nick Haber
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Poster
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Fri 16:30
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C2M3: Cycle-Consistent Multi-Model Merging
Donato Crisostomi · Marco Fumero · Daniele Baieri · Florian Bernard · Emanuele Rodolà
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Poster
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Thu 16:30
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Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
Maximilian Stölzle · Cosimo Della Santina
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Poster
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Fri 11:00
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Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
Stefan Stojanovic · Yassir Jedra · Alexandre Proutiere
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Poster
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Thu 11:00
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IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
Ruosen Li · Ruochen Li · Barry Wang · Xinya Du
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Poster
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Wed 11:00
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The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
Moritz Schneider · Robert Krug · Narunas Vaskevicius · Luigi Palmieri · Joschka Boedecker
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