Cs-Lg
Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamics
Allocate Marginal Reviews to Borderline Papers Using LLM Comparative Ranking
A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOx
Pruning at Initialisation through the lens of Graphon Limit: Convergence, Expressivity, and Generalisation
Can Microcanonical Langevin Dynamics Leverage Mini-Batch Gradient Noise?
Adaptive Uncertainty-Aware Tree Search for Robust Reasoning
FlowDA: Accurate, Low-Latency Weather Data Assimilation via Flow Matching
Taipan: A Query-free Transfer-based Multiple Sensitive Attribute Inference Attack Solely from Publicly Released Graphs
NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
Learning a Generative Meta-Model of LLM Activations
Diffeomorphism-Equivariant Neural Networks
Missing At Random as Covariate Shift: Correcting Bias in Iterative Imputation
SaDiT: Efficient Protein Backbone Design via Latent Structural Tokenization and Diffusion Transformers
Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality
Bridging Explainability and Embeddings: BEE Aware of Spuriousness
Explaining Grokking in Transformers through the Lens of Inductive Bias
Improving Credit Card Fraud Detection with an Optimized Explainable Boosting Machine
Rethinking Attention: Polynomial Alternatives to Softmax in Transformers
Calibration and Transformation-Free Weight-Only LLMs Quantization via Dynamic Grouping
Reparameterization Proximal Policy Optimization
Language Generation in the Limit: Noise, Loss, and Feedback
Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI
