Summary of Diffusion Models As Constrained Samplers For Optimization with Unknown Constraints, by Lingkai Kong et al.
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraintsby Lingkai Kong, Yuanqi Du, Wenhao…
Summary of Token-specific Watermarking with Enhanced Detectability and Semantic Coherence For Large Language Models, by Mingjia Huo et al.
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Modelsby Mingjia Huo, Sai…
Summary of Classes Are Not Equal: An Empirical Study on Image Recognition Fairness, by Jiequan Cui et al.
Classes Are Not Equal: An Empirical Study on Image Recognition Fairnessby Jiequan Cui, Beier Zhu,…
Summary of On the Inductive Biases Of Demographic Parity-based Fair Learning Algorithms, by Haoyu Lei et al.
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithmsby Haoyu Lei, Amin Gohari, Farzan…
Summary of Decentralised Traffic Incident Detection Via Network Lasso, by Qiyuan Zhu et al.
Decentralised Traffic Incident Detection via Network Lassoby Qiyuan Zhu, A. K. Qin, Prabath Abeysekara, Hussein…
Summary of Material Microstructure Design Using Vae-regression with Multimodal Prior, by Avadhut Sardeshmukh et al.
Material Microstructure Design Using VAE-Regression with Multimodal Priorby Avadhut Sardeshmukh, Sreedhar Reddy, BP Gautham, Pushpak…
Summary of From Inverse Optimization to Feasibility to Erm, by Saurabh Mishra et al.
From Inverse Optimization to Feasibility to ERMby Saurabh Mishra, Anant Raj, Sharan VaswaniFirst submitted to…
Summary of Sequentialattention++ For Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization, by Taisuke Yasuda et al.
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimizationby Taisuke Yasuda, Kyriakos Axiotis, Gang Fu,…
Summary of Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers, by Yiwei Lu et al.
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizersby Yiwei Lu, Yaoliang Yu, Xinlin…
Summary of Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization For Time Series Process Optimization, by Vispi Karkaria et al.
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time…