Mini toolsPapers
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BCMDA: Bidirectional Correlation Maps Domain Adaptation for Mixed Domain Semi-Supervised Medical Image Segmentation
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Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
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Amplified Patch-Level Differential Privacy for Free via Random Cropping
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LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration
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Conformal Selective Prediction with General Risk Control
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Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
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Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
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Lookalike3D: Seeing Double in 3D
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Can an Actor-Critic Optimization Framework Improve Analog Design Optimization?
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Accurate Point Measurement in 3DGS -- A New Alternative to Traditional Stereoscopic-View Based Measurements
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Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models
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Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation
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Confidence-Based Mesh Extraction from 3D Gaussians
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A Framework for Generating Semantically Ambiguous Images to Probe Human and Machine Perception
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OpenCap Monocular: 3D Human Kinematics and Musculoskeletal Dynamics from a Single Smartphone Video
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AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented Generation
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Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning Approach
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Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour
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GaloisSAT: Differentiable Boolean Satisfiability Solving via Finite Field Algebra
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Contrastive Learning Boosts Deterministic and Generative Models for Weather Data
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Grokking as a Falsifiable Finite-Size Transition
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A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning
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Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach
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TIGeR: A Unified Framework for Time, Images and Geo-location Retrieval
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Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
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Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning
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Light Cones For Vision: Simple Causal Priors For Visual Hierarchy
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SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks
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Binary Expansion Group Intersection Network
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Synthetic Cardiac MRI Image Generation using Deep Generative Models
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Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
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Fine-Tuning A Large Language Model for Systematic Review Screening
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DRoPS: Dynamic 3D Reconstruction of Pre-Scanned Objects
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Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
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From Untestable to Testable: Metamorphic Testing in the Age of LLMs
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AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A
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Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
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ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing
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Local learning for stable backpropagation-free neural network training towards physical learning
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AVControl: Efficient Framework for Training Audio-Visual Controls
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Enhancing Structured Meaning Representations with Aspect Classification
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Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration
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Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis
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GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining
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FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions
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Attention-based Pin Site Image Classification in Orthopaedic Patients with External Fixators
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PhyDCM: A Reproducible Open-Source Framework for AI-Assisted Brain Tumor Classification from Multi-Sequence MRI
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Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
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Learning From Developers: Towards Reliable Patch Validation at Scale for Linux
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Synthetic Rewriting as a Quality Multiplier: Evidence from Portuguese Continued Pretraining
