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Neural Thermodynamic Laws for Large Language Model Training ift.tt/ZMaebwI

PIF: Anomaly detection via preference embedding ift.tt/nUjPcvp

Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems ift.tt/iBOWwSA

Role of scrambling and noise in temporal information processing with quantum systems ift.tt/6fzeRsJ

Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning ift.tt/AknbfHd

Topology-driven identification of repetitions in multi-variate time series ift.tt/1yNeYb5

Causal Predictive Optimization and Generation for Business AI ift.tt/E7JuPw3

Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration ift.tt/M7VnD6C

Forests for Differences: Robust Causal Inference Beyond Parametric DiD ift.tt/wC9Jsr6

Online Isolation Forest ift.tt/Fy4a18i

Rapid Overfitting of Multi-Pass Stochastic Gradient Descent in Stochastic Convex Optimization ift.tt/JA54McE

Batched Nonparametric Bandits via k-Nearest Neighbor UCB ift.tt/nwJmDlK

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering ift.tt/HruJaVv

Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods ift.tt/efjOX1H

One-Stage Top-$k$ Learning-to-Defer: Score-Based Surrogates with Theoretical Guarantees ift.tt/PkB960D

Path Gradients after Flow Matching ift.tt/nyfugKk

A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection ift.tt/dpCzaqm

LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data ift.tt/7Hf906L

Learning Multi-Attribute Differential Graphs with Non-Convex Penalties ift.tt/JYbIg6r

On Measuring Intrinsic Causal Attributions in Deep Neural Networks ift.tt/o5feZnJ