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From Processing to Functionality: Engineering Accessible Material States in Cu-Embedded SiO$_x$ Memristive Devices

Elucidating the Conformal Structure of the Brinkman Penalisation Method for Geometry-Adapted, Structure-Preserving Operator Learning of Hamiltonian PDEs

Multi-Dimensional Matching

Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement

MQSS-Selector: RL-Guided Pass Selection for an MLIR Compilation Pipeline

Transductive Off-policy Proximal Policy Optimization

Nuclear Norm-Regularized Bayesian Matrix Completion

Orbital Error Dynamics: Self-Organized Criticality, Ephemeral Parameter Resonance, and Non-Linear Biological Ontologies in Zero-Storage Neural Synthesis

Learning and interpreting policies for simultaneous entanglement requests in quantum networks

GridSFM: A Foundation Model for Solving AC Optimal Power Flow

A Nearly Quadratic Lower Bound for Linear Optimization over Convex Bodies in the Membership Oracle Model

Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion Problems

DCRMTA: Deep Causal Representation Learning for Multi-Touch Attribution

A Probabilistic Approach for Model Alignment with Human Comparisons

Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling

MemGuard-Alpha: Limits of Membership Inference for Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financial Forecasting

The kernel of graph indices for vector search

A Fast and Effective Solution to the Problem of Look-ahead Bias in LLMs

TIDE: Temporal Incremental Draft Engine for Self-Improving LLM Inference

Near-Oracle KV Selection via Pre-hoc Sparsity for Long-Context Inference

Learning Causal Structure of Time Series using Best Order Score Search

Beyond Pairwise Attention: Higher-Order Modular Attention for Efficient Sequence Learning

TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction

MLPerf Automotive

Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning

Pointwise Generalization in Deep Neural Networks

A Unified Benchmark for Dynamic Medical Treatment Reinforcement Learning

Beyond Forgetting: Diagnosing and Harnessing Shared Reasoning in Continual RLVR

Taking a Second Look: Correcting Sea Ice Forecasts with Sparse Observations

Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs

Cluster Assignments in Soft Targets Shape Speech Representations: Evidence from S-JEPA

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

Invertible Query-Key Coupling Composes with Attention Mechanisms

Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement

Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders

On Cost-Aware Designs for Sequential Hypothesis Testing

Diffusion-aided Task-oriented Semantic Communications with Model Inversion Attack

Time-Varying Bayesian Optimization Without a Metronome

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data

Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

Unraveling the cognitive patterns of Large Language Models through module communities

Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration

Self-Localizing MIMO Beam Mapping with Continuously Evolving Channel Memory

Few-Shot Specific Emitter Identification via Integrated Complex Variational Mode Decomposition and Spatial Attention Transfer

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety

Quantum Attention by Overlap Interference: Predicting Classical and Many-Body Quantum Sequences

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines

RQ-Reg: A Residual-Quantization-Based Framework for Continuous Value Prediction in Recommender Systems

DeGRe: Dense-supervised Generative Reranking for Recommendation