Summary of Machine Unlearning Doesn’t Do What You Think: Lessons For Generative Ai Policy, Research, and Practice, by A. Feder Cooper et al.
Machine Unlearning Doesn’t Do What You Think: Lessons for Generative AI Policy, Research, and Practiceby…
Summary of Diffusing Differentiable Representations, by Yash Savani et al.
Diffusing Differentiable Representationsby Yash Savani, Marc Finzi, J. Zico KolterFirst submitted to arxiv on: 9…
Summary of Toward Ai-driven Digital Organism: Multiscale Foundation Models For Predicting, Simulating and Programming Biology at All Levels, by Le Song et al.
Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All…
Summary of Extreme Automl: Analysis Of Classification, Regression, and Nlp Performance, by Edward Ratner et al.
Extreme AutoML: Analysis of Classification, Regression, and NLP Performanceby Edward Ratner, Elliot Farmer, Brandon Warner,…
Summary of Understanding Gradient Descent Through the Training Jacobian, by Nora Belrose et al.
Understanding Gradient Descent through the Training Jacobianby Nora Belrose, Adam ScherlisFirst submitted to arxiv on:…
Summary of In-application Defense Against Evasive Web Scans Through Behavioral Analysis, by Behzad Ousat et al.
In-Application Defense Against Evasive Web Scans through Behavioral Analysisby Behzad Ousat, Mahshad Shariatnasab, Esteban Schafir,…
Summary of Sequential Compression Layers For Efficient Federated Learning in Foundational Models, by Navyansh Mahla et al.
Sequential Compression Layers for Efficient Federated Learning in Foundational Modelsby Navyansh Mahla, Sunny Gupta, Amit…
Summary of Taen: a Model-constrained Tikhonov Autoencoder Network For Forward and Inverse Problems, by Hai V. Nguyen et al.
TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problemsby Hai V. Nguyen, Tan…
Summary of Genai4uq: a Software For Inverse Uncertainty Quantification Using Conditional Generative Models, by Ming Fan et al.
GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative Modelsby Ming Fan, Zezhong Zhang,…
Summary of Deep Learning For Cross-border Transaction Anomaly Detection in Anti-money Laundering Systems, by Qian Yu et al.
Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systemsby Qian Yu, Zhen Xu,…