Papers

Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.

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machine learning Oct 02 Effective Resistance and Graph Neural Network Reliability in Tissue-Specific Interactomes by Jianru Shen machine learning Oct 02 Every Ablation Is a Dose: Counterweights and the Semblance of Self-Repair by Areeb Ahmad, Pratinav Seth, Vinay Kumar Sankarapu machine learning Oct 02 When Do Intrinsic Rewards Lead to Exploration? by Scott W. Viteri (Stanford University), Laura Gomezjurado Gonzalez (Stanford University), Clark Barrett (Stanford University) machine learning Oct 02 Muon meets Tamed Langevin: Momentum Preconditioning beyond Convex and gradient-Lipschitz Potentials by Nikolaos Makras, Sotirios Sabanis machine learning Oct 02 Faynt: Scaling and Optimizing Policies for Competitive Melee by Ali Janati, Nikita Kuzmin, Rohit Swamy, Charles Niu machine learning Oct 02 Local Support Learning by Assaf Ben-Kish, Akarsh Kumar, James Glass, Raja Giryes machine learning Oct 02 Are We Recovering Mechanisms? Objective-Level Recovery Gaps in Mechanistic Interpretability by Chuqin Geng, Li Zhang, Haolin Ye, Mark Zhang, Luke Zhang, Xujie Si machine learning Oct 02 Learn the Directions, Normalize the Gains: Post-Training Normalization for LoRA by Zailong Tian, Yanzhe Chen, Zhuoheng Han, Houfeng Wang, Lizi Liao machine learning Oct 01 Semifactual Credit-Augmented Policy Optimization by Junshu Pan, Zhizhang Fu, Shulin Huang, Yiran Ding, Zifan Cheng, Wenqi Shao, Qiaosheng Zhang, Yue Zhang machine learning Oct 01 Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text by Dulhan Jayalath, Oiwi Parker Jones