{"total":56,"rows":[{"id":"2604.21691","title":"There Will Be a Scientific Theory of Deep Learning","created":"2026-04-23","cited_by_count":29,"area":null},{"id":"2512.19941","title":"Block-Recurrent Dynamics in Vision Transformers","created":"2025-12-23","cited_by_count":20,"area":null},{"id":"2506.03470","title":"Models of Heavy-Tailed Mechanistic Universality","created":"2025-06-04","cited_by_count":10,"area":null},{"id":"2505.14136","title":"Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging","created":"2025-05-20","cited_by_count":9,"area":"moe"},{"id":"2510.03358","title":"Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility","created":"2025-10-02","cited_by_count":9,"area":null},{"id":"2510.06646","title":"The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators","created":"2025-10-08","cited_by_count":8,"area":null},{"id":"2507.07207","title":"Scaling can lead to compositional generalization","created":"2025-07-09","cited_by_count":7,"area":null},{"id":"2505.13946","title":"Visual Instruction Bottleneck Tuning","created":"2025-05-20","cited_by_count":5,"area":"mllm"},{"id":"2509.17601","title":"FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design","created":"2025-09-22","cited_by_count":5,"area":null},{"id":"2605.18598","title":"Pointwise Generalization in Deep Neural Networks","created":"2026-05-18","cited_by_count":4,"area":null},{"id":"2607.27372","title":"Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation","created":"2026-07-29","cited_by_count":4,"area":null},{"id":"2511.04808","title":"Sharp Minima Can Generalize: A Loss Landscape Perspective On Data","created":"2025-11-06","cited_by_count":3,"area":null},{"id":"2605.17471","title":"WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points","created":"2026-05-17","cited_by_count":3,"area":null},{"id":"2512.05267","title":"Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective","created":"2025-12-04","cited_by_count":2,"area":null},{"id":"2602.14896","title":"Algorithmic Simplification of Neural Networks with Mosaic-of-Motifs","created":"2026-02-16","cited_by_count":2,"area":null},{"id":"2603.20274","title":"Solomonoff induction","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2603.22964","title":"A PAC-Bayesian approach to generalization for quantum models","created":"2026-03-24","cited_by_count":2,"area":null},{"id":"2606.20299","title":"Statistical Properties of Training & Generalization","created":"2026-06-18","cited_by_count":2,"area":null},{"id":"2505.21813","title":"Optimizing Data Augmentation through Bayesian Model Selection","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2511.21715","title":"DNNs, Dataset Statistics, and Correlation Functions","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2601.18128","title":"Nonlinear multi-study sparse factor analysis","created":"2026-01-26","cited_by_count":1,"area":null},{"id":"2605.05436","title":"Estimating Implicit Regularization in Deep Learning","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2607.11883","title":"Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data","created":"2026-07-13","cited_by_count":1,"area":"synth"},{"id":"2505.09004","title":"Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2506.00182","title":"Overfitting has a limitation: a model-independent generalization gap bound based on R\\'enyi entropy","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2509.01972","title":"Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems","created":"2025-09-02","cited_by_count":0,"area":"distill"},{"id":"2509.04661","title":"Flexible inference for animal learning rules using neural networks","created":"2025-09-04","cited_by_count":0,"area":"deeprl"},{"id":"2509.21228","title":"Response to Promises and Pitfalls of Deep Kernel Learning","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2512.08480","title":"Soft Inductive Bias Approach via Explicit Reasoning Perspectives in Inappropriate Utterance Detection Using Large Language Models","created":"2025-12-09","cited_by_count":0,"area":"lr"},{"id":"2512.09394","title":"Language models as tools for investigating the distinction between possible and impossible natural languages","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2512.12447","title":"Large language models have learned to use language","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2512.13441","title":"Large language models are not about natural language","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2512.14506","title":"Linguists should learn to love speech-based deep learning models","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2512.15493","title":"Soft Geometric Inductive Bias for Object Centric Dynamics","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2601.08316","title":"Deep Exploration of Epoch-wise Double Descent in Noisy Data: Signal Separation, Large Activation, and Benign Overfitting","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2601.10421","title":"Are Language Models Models?","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2602.01418","title":"Parabolic Position Encoding: Vision-Centric, Principled, Extrapolatable, General","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2602.04696","title":"Beyond Learning on Molecules by Weakly Supervising on Molecules","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2603.00910","title":"Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization","created":"2026-03-01","cited_by_count":0,"area":null},{"id":"2603.25839","title":"A Compression Perspective on Simplicity Bias","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.09466","title":"Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.09501","title":"You Can't Fight in Here! This is BBS!","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.17166","title":"The Virtue of Sparsity in Complexity","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2605.10061","title":"Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.15551","title":"Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.31503","title":"How can embedding models bind concepts?","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.10669","title":"In Defense of Information Leakage in Concept-based Models","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.30442","title":"The FIL Hypothesis: Inductive Biases Help with Kernel Engineering","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.25122","title":"Semantic Space Search Trajectory Networks","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.03386","title":"Benign interpolation and Occam's razor","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.16894","title":"An Investigation of the NeurIPS and ICML 2025 Position Tracks","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2609.20693","title":"TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.26539","title":"A retrospective analysis on the use of LLMs to study infant syntax learning","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.30274","title":"Distribution of hitting times for dissipative random dynamical systems on $\\mathbb{R}^d$, with application to stochastic gradient descent","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2609.34458","title":"Understanding Generalization Requires Universal Induction","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36079","title":"A Polyphonic Conception of AI Understanding","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}