Summary of Universal Spectral Transfer with Physical Prior-informed Deep Generative Learning, by Yanmin Zhu et al.
Universal Spectral Transfer with Physical Prior-Informed Deep Generative Learningby Yanmin Zhu, Loza F. TadesseFirst submitted…
Universal Spectral Transfer with Physical Prior-Informed Deep Generative Learningby Yanmin Zhu, Loza F. TadesseFirst submitted…
Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimizationby Orson MengaraFirst submitted to…
Generative Language Model for Catalyst Discoveryby Dong Hyeon Mok, Seoin BackFirst submitted to arxiv on:…
PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformersby Songlin Li, Despoina Paschalidou, Leonidas GuibasFirst submitted…
Improving AlphaFlow for Efficient Protein Ensembles Generationby Shaoning Li, Mingyu Li, Yusong Wang, Xinheng He,…
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generatorby Thinh Nguyen, Khoa…
Flow Perturbation to Accelerate Unbiased Sampling of Boltzmann distributionby Xin Peng, Ang GaoFirst submitted to…
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Librariesby…
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasetsby Boris Landa,…
Restyling Unsupervised Concept Based Interpretable Networks with Generative Modelsby Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi,…