Summary of Counterfactual Generative Modeling with Variational Causal Inference, by Yulun Wu et al.
Counterfactual Generative Modeling with Variational Causal Inferenceby Yulun Wu, Louie McConnell, Claudia IriondoFirst submitted to…
Counterfactual Generative Modeling with Variational Causal Inferenceby Yulun Wu, Louie McConnell, Claudia IriondoFirst submitted to…
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifoldsby Xingzhi…
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TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logicby Jinqian Chen, Jihua ZhuFirst submitted…
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Simulation-based inference with scattering representations: scattering is all you needby Kiyam Lin, Benjamin Joachimi, Jason…
DDIL: Improved Diffusion Distillation With Imitation Learningby Risheek Garrepalli, Shweta Mahajan, Munawar Hayat, Fatih PorikliFirst…
DySpec: Faster Speculative Decoding with Dynamic Token Tree Structureby Yunfan Xiong, Ruoyu Zhang, Yanzeng Li,…
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixturesby Wei Shen, Ruida…