Summary of Continual Learning with Task Specialist, by Indu Solomon et al.
Continual learning with task specialistby Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath JayaveluFirst…
Summary of A Simple but Strong Baseline For Sounding Video Generation: Effective Adaptation Of Audio and Video Diffusion Models For Joint Generation, by Masato Ishii and Akio Hayakawa and Takashi Shibuya and Yuki Mitsufuji
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video…
Summary of Pixel-space Post-training Of Latent Diffusion Models, by Christina Zhang et al.
Pixel-Space Post-Training of Latent Diffusion Modelsby Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix…
Summary of Rejection Sampling Imle: Designing Priors For Better Few-shot Image Synthesis, by Chirag Vashist et al.
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesisby Chirag Vashist, Shichong Peng, Ke…
Summary of Dreamwaltz-g: Expressive 3d Gaussian Avatars From Skeleton-guided 2d Diffusion, by Yukun Huang et al.
DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusionby Yukun Huang, Jianan Wang, Ailing Zeng,…
Summary of A Random Measure Approach to Reinforcement Learning in Continuous Time, by Christian Bender and Nguyen Tran Thuan
A random measure approach to reinforcement learning in continuous timeby Christian Bender, Nguyen Tran ThuanFirst…
Summary of Consistent Estimation Of Generative Model Representations in the Data Kernel Perspective Space, by Aranyak Acharyya and Michael W. Trosset and Carey E. Priebe and Hayden S. Helm
Consistent estimation of generative model representations in the data kernel perspective spaceby Aranyak Acharyya, Michael…
Summary of Ctrl-genaug: Controllable Generative Augmentation For Medical Sequence Classification, by Xinrui Zhou et al.
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classificationby Xinrui Zhou, Yuhao Huang, Haoran Dou, Shijing…
Summary of A Parametric Framework For Kernel-based Dynamic Mode Decomposition Using Deep Learning, by Konstantinos Kevopoulos et al.
A parametric framework for kernel-based dynamic mode decomposition using deep learningby Konstantinos Kevopoulos, Dongwei YeFirst…
Summary of Functional Stochastic Gradient Mcmc For Bayesian Neural Networks, by Mengjing Wu et al.
Functional Stochastic Gradient MCMC for Bayesian Neural Networksby Mengjing Wu, Junyu Xuan, Jie LuFirst submitted…