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Research

The Wasserstein transform

DGX agent

arXiv:1810.07793v2 Announce Type: replace Abstract: We introduce the Wasserstein Transform (WT), a general unsupervised framework for updating distance structures on given data sets with the purpose o

researcharxiv-cs-lg

14 Apr 2026

Research

The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models

DGX agent

arXiv:2602.16309v2 Announce Type: replace-cross Abstract: Fault injection attacks on embedded neural network models have been shown as a potent threat. Numerous works studied resilience of models from

All entries

The Wasserstein transform

The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models

THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture

Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books

Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities

Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation

THOM: Generating Physically Plausible Hand-Object Meshes From Text

Thought Branches: Interpreting LLM Reasoning Requires Resampling

Three Roles, One Model: Role Orchestration at Inference Time to Close the Performance Gap Between Small and Large Agents

Time-Frequency Analysis for Neural Networks

Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale

TInR: Exploring Tool-Internalized Reasoning in Large Language Models

TinyGaze: Lightweight Gaze-Gesture Recognition on Commodity Mobile Devices

Tipiano: Cascaded Piano Hand Motion Synthesis via Fingertip Priors

Token-Budget-Aware Pool Routing for Cost-Efficient LLM Inference

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models

Topo-ADV: Generating Topology-Driven Imperceptible Adversarial Point Clouds

Topology-Aware PAC-Bayesian Generalization Analysis for Graph Neural Networks

TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training

Toward Accountable AI-Generated Content on Social Platforms: Steganographic Attribution and Multimodal Harm Detection

Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations

Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining

Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering

Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification

Towards Autonomous Mechanistic Reasoning in Virtual Cells

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge

Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition

Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action Localization

Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels

Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms

Towards Proactive Information Probing: Customer Service Chatbots Harvesting Value from Conversation

Towards Realistic 3D Emission Materials: Dataset, Baseline, and Evaluation for Emission Texture Generation

Towards Reasonable Concept Bottleneck Models

Towards Robust Optimization-Based Autonomous Dynamic Soaring with a Fixed-Wing UAV

Towards Situation-aware State Modeling for Air Traffic Flow Prediction

TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering

TRACE: Thermal Recognition Attentive-Framework for CO2 Emissions from Livestock

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs

Tracing the Thought of a Grandmaster-level Chess-Playing Transformer

Tracking High-order Evolutions via Cascading Low-rank Fitting

Training Deep Visual Networks Beyond Loss and Accuracy Through a Dynamical Systems Approach

Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representations

Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation