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Research

Reliable learning in challenging environments

DGX agent

arXiv:2304.03370v3 Announce Type: replace Abstract: The problem of designing learners that provide guarantees that their predictions are provably correct is of increasing importance in machine learnin

researcharxiv-cs-lg

17 Sept 2026

Research

Remembering Solomon Marcus

DGX agent

arXiv:2609.18224v1 Announce Type: cross Abstract: From the manifest of Andre Breton, through the transdisciplinary understanding, we arrive at a post-modern manifest. A talk by Laura De Marco (Harvard

Search: “research”

Reliable learning in challenging environments

Remembering Solomon Marcus

Renyi Tracking Bounds for Langevin Dynamics with Moving Targets

REPAIR: Resolving Long-Tail Confusion in Scientific Retrievers via Fact-Verified Iterative Refinement

REQAP: Resilient Weight Packing and Quantization for Edge DNN Acceleration

Rethinking How We Evaluate Methodological Progress in Health AI

RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control

Robust and Efficient AI Frameworks for Scalable Material Design and Property Prediction

SAM-on-the-Curve: Sharpness-Aware Mode Connectivity for Robust Weight-Space Interpolation

Scalable Music Cover Retrieval Using Lyrics-Aligned Audio Embeddings

Securing quantum error correction against misleading advice from AI agents

Selective Prediction and Uncertainty-Aware Referral for Pap Smear Classification

Semantic CSI Feedback for Beam Selection: When Task-Aware Embeddings from Sparse Pilots Outperform Full-Bandwidth Reconstruction

Sharp margin-based generalization bounds for realizable SVM

Similarity Pairing with Energy Mover's Distance for Self-Supervised Pre-Training at the LHC

Simultaneous Arrival Control for Distributed Multi-Robot Systems with Curvature and Constant-Speed Constraints

Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the AC Optimal Power Flow

Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance

Spatially Adaptive Noise Injection

Stability-Constrained Approximation in Spline KANs: Exact Layer Balancing and Budget-Compatible Saturation

Stable Filters for Generative Modeling of Graph Signals

STRADAViT: Self-Supervised Domain Adaptation of Vision Transformer Backbones for Radio Astronomy

STUNet-Fusion: Spatiotemporal Needle-Tip Localization in Ultrasound Video via Multi-Channel Motion Fusion

Switchable-Polarity Electropermanent Magnet: Reconfigurable Magnetic Fields for Scalable Fluidic Control

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why

Symmetry without a manifold: intrinsic dimension on orbits

TabPFN-3.5: Technical Report

TacBPM: A Tactile-conditioned Behavior Prior Model for Dexterous Reorientation

The Automaton Underneath: The Additive Input Pathway Is a Parasitic Attractor for State Tracking in Householder Linear RNN

The evolution of sex for artificial intelligence: a population-genetic framework for multigenerational model populations

The Limits of BPE Tokenization in Polish: Segmentation-Flexional Forms, Grammatical Anchoring, and First-Person Stability in Inflectional Language Models

The Mirage of Calibrated Confidence: Trajectory-Independence of Verbalized Confidence in Vision-Language Models

The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction

Timbre Analysis of the Hulusi, a Southwestern Chinese Free-Reed Instrument, using Machine Learning

Too Good to Be Real? Diagnosing and Reducing the Gap Between AI Preference and Real User Engagement

Topology-enhanced machine learning for speech signal processing

Toward Markerless Video-based Tremor Analysis: Objective Quantification of Pathological Tremor in Mouse Preclinical Models

Tracing individual knowledge trajectories in a changing field: the case of general relativity and gravitation

Track, Articulate, Act: Generating Articulation from Casual Human Videos

Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation

Transcribe, Then Reason: Two-Pass Decomposition for Multimodal Review

Transformation Laws in Neural Representations: Structure, Realisability, and Construction

TwinMark: A Unified Watermark for Provable Survival Under Feature and Logit Distillation

Understanding AI Provider Recommendations in Local Service Markets

Understanding Dynamic Scenes at Gigapixel Scale: Wide-Area Spatio-Temporal Perception from UAVs

Unified Response Geometry for Structured Pruning

Universal NP-Hardness of Clustering under General Utilities

Using OCR Heads to Verbalize Image Semantics