Summary of Collapse or Thrive? Perils and Promises Of Synthetic Data in a Self-generating World, by Joshua Kazdan et al.
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating Worldby Joshua Kazdan,…
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating Worldby Joshua Kazdan,…
A Simple Model of Inference Scaling Lawsby Noam LeviFirst submitted to arxiv on: 21 Oct…
2-Rectifications are Enough for Straight Flows: A Theoretical Insight into Wasserstein Convergenceby Saptarshi Roy, Vansh…
G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generationby Chayan Maitra,…
Generative Conformal Prediction with Vectorized Non-Conformity Scoresby Minxing Zheng, Shixiang ZhuFirst submitted to arxiv on:…
An Online Learning Approach to Prompt-based Selection of Generative Modelsby Xiaoyan Hu, Ho-fung Leung, Farzan…
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generationby Ziwei Yang, Zheng Chen, Xin Liu,…
Geometric Trajectory Diffusion Modelsby Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano ErmonFirst submitted…
UniGEM: A Unified Approach to Generation and Property Prediction for Moleculesby Shikun Feng, Yuyan Ni,…
Gaussian Mixture Vector Quantization with Aggregated Categorical Posteriorby Mingyuan Yan, Jiawei Wu, Rushi Shah, Dianbo…