Papers
-
ScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors
-
Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers
-
TopoMesh: High-Fidelity Mesh Autoencoding via Topological Unification
-
Bridging Biological Hearing and Neuromorphic Computing: End-to-End Time-Domain Audio Signal Processing with Reservoir Computing
-
The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents
-
Cost-Sensitive Neighborhood Aggregation for Heterophilous Graphs: When Does Per-Edge Routing Help?
-
VERIA: Verification-Centric Multimodal Instance Augmentation for Long-Tailed 3D Object Detection
-
RS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic Segmentation
-
AMIF: Authorizable Medical Image Fusion Model with Built-in Authentication
-
SpinGQE: A Generative Quantum Eigensolver for Spin Hamiltonians
-
CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
-
Samasāmayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation
-
Refining time-space traffic diagrams: A neighborhood-adaptive linear regression method
-
Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunities
-
Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
-
Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
-
Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
-
Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing
-
Le MuMo JEPA: Multi-Modal Self-Supervised Representation Learning with Learnable Fusion Tokens
-
GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents
-
Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
-
Evidence of an Emergent "Self" in Continual Robot Learning
-
Language-Guided Structure-Aware Network for Camouflaged Object Detection
-
A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection
-
Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data
-
Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions
-
CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
-
Adaptive decision-making for stochastic service network design
-
Improving Lean4 Autoformalization via Cycle Consistency Fine-tuning
-
PP-OCRv5: A Specialized 5M-Parameter Model Rivaling Billion-Parameter Vision-Language Models on OCR Tasks
-
Towards Reward Modeling for AI Tutors in Math Mistake Remediation
-
GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization
-
MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
-
ViHOI: Human-Object Interaction Synthesis with Visual Priors
-
On the Use of Bagging for Local Intrinsic Dimensionality Estimation
-
Causal Transfer in Medical Image Analysis
-
When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools
-
Federated fairness-aware classification under differential privacy
-
Exploring How Fair Model Representations Relate to Fair Recommendations
-
Neural Network Models for Contextual Regression
-
AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
-
Elucidating the Design Space of Flow Matching for Cellular Microscopy
-
Teacher-Student Diffusion Model for Text-Driven 3D Hand Motion Generation
-
Real Talk, Virtual Faces: A Formal Concept Analysis of Personality and Sentiment in Influencer Audiences
-
PINGALA: Prosody-Aware Decoding for Sanskrit Poetry Generation
-
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
-
OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
-
Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes
-
Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching
-
Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models
MongoDB - Build AI That Scales
