Summary of Ignn-solver: a Graph Neural Solver For Implicit Graph Neural Networks, by Junchao Lin et al.
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networksby Junchao Lin, Zenan Ling, Zhanbo…
Summary of Elastictok: Adaptive Tokenization For Image and Video, by Wilson Yan et al.
ElasticTok: Adaptive Tokenization for Image and Videoby Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia,…
Summary of Steering Masked Discrete Diffusion Models Via Discrete Denoising Posterior Prediction, by Jarrid Rector-brooks et al.
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Predictionby Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi…
Summary of Cost-aware Simulation-based Inference, by Ayush Bharti et al.
Cost-aware simulation-based inferenceby Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier BriolFirst submitted to arxiv on:…
Summary of Mgmd-gan: Generalization Improvement Of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks, by Nirob Arefin
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership…
Summary of Simple Reflow: Improved Techniques For Fast Flow Models, by Beomsu Kim and Yu-guan Hsieh and Michal Klein and Marco Cuturi and Jong Chul Ye and Bahjat Kawar and James Thornton
Simple ReFlow: Improved Techniques for Fast Flow Modelsby Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco…
Summary of Benchmarking Agentic Workflow Generation, by Shuofei Qiao et al.
Benchmarking Agentic Workflow Generationby Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong…
Summary of Hybrid Summary Statistics, by T. Lucas Makinen et al.
Hybrid Summary Statisticsby T. Lucas Makinen, Ce Sui, Benjamin D. Wandelt, Natalia Porqueres, Alan HeavensFirst…
Summary of Detecting Training Data Of Large Language Models Via Expectation Maximization, by Gyuwan Kim et al.
Detecting Training Data of Large Language Models via Expectation Maximizationby Gyuwan Kim, Yang Li, Evangelia…
Summary of Provable Privacy Attacks on Trained Shallow Neural Networks, by Guy Smorodinsky and Gal Vardi and Itay Safran
Provable Privacy Attacks on Trained Shallow Neural Networksby Guy Smorodinsky, Gal Vardi, Itay SafranFirst submitted…