yusuke1997/dblp-id-title huggingface dataset:
gComm: An environment for investigating generalization in Grounded Language Acquisition
Arithmetic with Language Models: from Memorization to Computation
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction
Deep Learning-based Compressed Domain Multimedia for Man and Machine: A Taxonomy and Application to Point Cloud Classification
MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations
Meta-Learning for Few-shot Camera-Adaptive Color Constancy
An Empirical Evaluation of Bluetooth-based Decentralized Contact Tracing in Crowds
CLPB: Chaotic Learner Performance Based Behaviour
ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images
G̅ mst : An Unbiased Stratified Statistic and a Fast Gradient Optimization Algorithm Based on It
Destination-Constrained Linear Dynamical System Modeling in Set-Valued Frameworks
OpenScout v1.1 mobile robot: a case study on open hardware continuation
Six-DOF Spacecraft Dynamics Simulator For Testing Translation and Attitude Control
Performance Comparison of Various STM Concurrency Control Protocols Using Synchrobench
Grand Challenges for Embedded Security Research in a Connected World
Modeling and Visualization Reasoning for Stakeholders in Education and Industry Integration Systems: Research on Structured Synthetic Dialogue Data Generation Based on NIST Standards
Code Driven Planning with Domain-Adaptive Critic
A Novel, Scale-Invariant, Differentiable, Efficient, Scalable Regularizer
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
Surface Multigrid via Intrinsic Prolongation
Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations
Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change Detection
Extending adjacency matrices to 3D with triangles
Does MAML really want feature reuse only?
Long Input Sequence Network for Long Time Series Forecasting
LOP-Field: Brain-inspired Layout-Object-Position Fields for Robotic Scene Understanding
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Dataflow Matrix Machines as a Generalization of Recurrent Neural Networks
Dental pathology detection in 3D cone-beam CT
SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration
Super Resolution On Global Weather Forecasts
Projections, Embeddings and Stability
Toward a Corpus Study of the Dynamic Gradual Type
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting
Transforming Strategic Games into Biform Games: Applications in Allocation Mechanisms and Green Technology Investment
Layered Monoidal Theories
A Roadmap for a Rigorous Science of Interpretability
Weakly and Semi-Supervised Detection, Segmentation and Tracking of Table Grapes with Limited and Noisy Data
Ankle Exoskeletons in Walking and Load-Carrying Tasks: Insights into Biomechanics and Human-Robot Interaction
On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models
VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents
Less Regret via Online Conditioning
YCB-Ev SD: Synthetic event-vision dataset for 6DoF object pose estimation
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
Direct and inverse time-harmonic scattering by Dirichlet periodic curves with local perturbations
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures
Study of dynamical system based obstacle avoidance via manipulating orthogonal coordinates
LSTM-based Preceding Vehicle Behaviour Prediction during Aggressive Lane Change for ACC Application
Ship classification from overhead imagery using synthetic data and domain adaptation
Investigating Enactive Learning for Autonomous Intelligent Agents
LISA-3D: Lifting Language-Image Segmentation to 3D via Multi-View Consistency
Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records
A Logical Account of Subtyping for Session Types
Performance Analysis of IEEE 802.11bn with Coordinated TDMA on Real-Time Applications
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Automated Software Testing Starting from Static Analysis: Current State of the Art
Optimization and design of a laser-cutting machine using delta robot
Uncommon Suffix Tries
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Efficient Algorithms and Implementations for Extracting Maximum-Size (k,ℓ)-Sparse Subgraphs
Convivial Conversational Agents - shifting toward relationships
Characterizing Individual Communication Patterns
Towards Gradually Typed Capabilities in the Pi-Calculus
Retrieving and Ranking Relevant JavaScript Technologies from Web Repositories
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Beam Selection for MmWave Massive MIMO Systems Under Hybrid Transceiver Architecture
Transferring Clinical Knowledge into ECGs Representation
AI Can Stop Mass Shootings, and More
Dense Dual-Path Network for Real-time Semantic Segmentation
An improved constant factor for the unit distance problem
Matrix Inversion Using Cholesky Decomposition
Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas
Enhancing Road Safety Through Multi-Camera Image Segmentation with Post-Encroachment Time Analysis
On The Liniar Time Complexity of Finite Languages
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
FGC-Comp: Adaptive Neighbor-Grouped Attribute Completion for Graph-based Anomaly Detection
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Action2Vec: A Crossmodal Embedding Approach to Action Learning
Enumeration Complexity: Incremental Time, Delay and Space
FODVid: Flow-guided Object Discovery in Videos
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments
Difficulty-Aware Agent Orchestration in LLM-Powered Workflows
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
Vision Language Models See What You Want but not What You See
Theoretical Analysis and Tuning of Decentralized Probabilistic Auto-Scaling
A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence
Back to Bytes: Revisiting Tokenization Through UTF-8
On Solving the Maximum $k$-club Problem
A GAN-Based Input-Size Flexibility Model for Single Image Dehazing
Adaptive Learning Guidance System (ALGS)
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
Autobiasing Event Cameras for Flickering Mitigation
Proximally Sensitive Error for Anomaly Detection and Feature Learning
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix
Reinforcement Learning with Analogical Similarity to Guide Schema Induction and Attention
MedCLM: Learning to Localize and Reason via a CoT-Curriculum in Medical Vision-Language Models
Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation
Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization
Hybrid Hypergraph Networks for Multimodal Sequence Data Classification
Delegations as Adaptive Representation Patterns: Rethinking Influence in Liquid Democracy
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression
LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment
An open-source software platform for translational photoacoustic research and its application to motion-corrected blood oxygenation estimation
Scalable Real-Time Vehicle Deformation for Interactive Environments
A Tutorial on Trace-based Simulations of Mobile Ad-hoc Networks on the Example of Aeronautical Communications
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor
Machine learning applications to DNA subsequence and restriction site analysis
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images
A Dynamic Phasor Framework for Analysis of Grid-Forming Converter Connected to Series-Compensated Line
KRAST: Knowledge-Augmented Robotic Action Recognition with Structured Text for Vision-Language Models
SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks
A Chain of AI-based Solutions for Resolving FQNs and Fixing Syntax Errors in Partial Code
Autonomous visual inspection of large-scale infrastructures using aerial robots
Representational learning for an anomalous sound detection system with source separation model
Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features
Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models
Time topological analysis of EEG using signature theory
Spacetimes with Semantics (II), Scaling of agency, semantics, and tenancy
Fundamental Limitations in Sequential Prediction and Recursive Algorithms: L p Bounds via an Entropic Analysis
Noise Modulation: Let Your Model Interpret Itself
Defensive Routing: a Preventive Layout-Level Defense Against Untrusted Foundries
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis
Collaborative LLM Agents for C4 Software Architecture Design Automation
Inverse Diffusion Curves using Shape Optimization
Distributed Detection of Adversarial Attacks in Multi-Agent Reinforcement Learning with Continuous Action Space
Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents
Discrete Sparse Signals: Compressed Sensing by Combining OMP and the Sphere Decoder
Token-Ensemble Text Generation: On Attacking the Automatic AI-Generated Text Detection
CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic
On the Computational Complexity of High-Dimensional Bayesian Variable Selection
Accelerating Translational Image Registration for HDR Images on GPU
Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks
System Identification and Controller Design for Hydraulic Actuator
TimeML-strict: clarifying temporal annotation
A Characteristic Mapping Method for the two-dimensional incompressible Euler equations
Rapid mixing of subset Glauber dynamics on graphs of bounded tree-width
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks
NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark
Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models
A Secure Consensus Protocol for Sidechains
Multi-scale frequency separation network for image deblurring
Exploring the Impact of Integrating UI Testing in CI/CD Workflows on GitHub
False perspectives on human language: why statistics needs linguistics
Room Impulse Response Estimation in a Multiple Source Environment
EDIT: Exemplar-Domain Aware Image-to-Image Translation
Metamorphic Virus Detection in Portable Executables Using Opcodes Statistical Feature
Repeated Purification versus Concatenated Error Correction in Fault Tolerant Quantum Networks
Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading
A Large-scale Empirical Study on Large Language Models for Election Prediction
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Local Type Inference for Context-Free Session Types
Online Electricity Purchase for Data Center with Dynamic Virtual Battery from Flexibility Aggregation
XGBoost: Scalable GPU Accelerated Learning
3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views - with Application to Fire-fighting Robots
When Less is More: A systematic review of four-day workweek conceptualizations and their effects on organizational performance
A Sufficient Statistics Construction of Bayesian Nonparametric Exponential Family Conjugate Models
Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models
Piecewise Polynomial Regression of Tame Functions via Integer Programming
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
Donut visualizations for network-level and regional-level overview of Spatial Social Networks
Look before Transcription: End-to-End SlideASR with Visually-Anchored Policy Optimization
Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
Random Features Hopfield Networks generalize retrieval to previously unseen examples
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Benchmarking Spiking Neural Network Learning Methods with Varying Locality
Logarithmic Mathematical Morphology: a new framework robust to illumination changes
LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement
Writes that Fall in the Forest and Make no Sound: Semantics-Based Adaptive Data Consistency
Robustness of a bisimulation-type faster-than preorder
Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
A Mathematical Framework of Semantic Communication based on Category Theory
New wavelet method based on Shifted Lucas polynomials: A tau approach
Analysis over vision-based models for pedestrian action anticipation
MSG-Loc: Multi-Label Likelihood-based Semantic Graph Matching for Object-Level Global Localization
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
Wavelet-based spatial audio framework
Sequential Feature Classification in the Context of Redundancies
Focal Frequency Loss for Generative Models
Homogenising SoHO/EIT and SDO/AIA 171Å Images: A Deep Learning Approach
Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource Languages
A Generic Framework for Hidden Markov Models on Biomedical Data
Image Restoration using Feature-guidance
CuriosAI Submission to the EgoExo4D Proficiency Estimation Challenge 2025
Optimal Interpolation Data for PDE-based Compression of Images with Noise
Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization
TurboReg: TurboClique for Robust and Efficient Point Cloud Registration
Text-based Sentiment Analysis and Music Emotion Recognition
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Fast and Effective GNN Training with Linearized Random Spanning Trees
Stalling in Space: Attractor Analysis for any Algorithm
Graph Coloring to Reduce Computation Time in Prioritized Planning
A Locality-Aware Sparse Dynamic Data Exchange
Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability
Data Group Anonymity: General Approach
The AI Revolution: Opportunities and Challenges for the Finance Sector
One-Shot Object Detection without Fine-Tuning
Wavelet Flow For Extragalactic Foreground Simulations
Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres
Geometric graphs on convex point sets
Reliably-stabilizing piecewise-affine neural network controllers
Personalized Federated Learning with Heat-Kernel Enhanced Tensorized Multi-View Clustering
SoK: Large Language Model Copyright Auditing via Fingerprinting
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes
Unstructured space-time finite element methods for optimal control of parabolic equations
Localized Calibrated Uncertainty in Code Language Models
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
Mapping the vacuum structure of gauged maximal supergravities: an application of high-performance symbolic algebra
Benchmarking Domain Generalization Algorithms in Computational Pathology
Multipath Routing of Fragmented Data Transfer in a Smart Grid Environment
Properties and constructions of coincident functions
Still Unsolved High-Performance Computing Challenges for up to Pre-Petascale Homogeneous Supercomputers
A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals
Classifying States of Cooking Objects Using Convolutional Neural Network
Power Consumption and Energy-Efficiency for In-Band Full-Duplex Wireless Systems
Security of mobile agents: a new concept of the integrity protection
Khalasi: Energy-Efficient Navigation for Surface Vehicles in Vortical Flow Fields
Do Reservoir Computers Work Best at the Edge of Chaos?
Identifying Slug Formation in Oil Well Pipelines: A Use Case from Industrial Analytics
Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM
Improving Robustness of Attention Models on Graphs
Cronus: Efficient LLM inference on Heterogeneous GPU Clusters via Partially Disaggregated Prefill
Wideband Spectrum Sensing with Sub-Nyquist Sampling in Cognitive Radios
The Complexity of Approximating Bounded-Degree Boolean #CSP (Extended Abstract)
On the Significance of Self-Justifying Axiom Systems from the Perspective of Analytic Tableaux
The Error-Pattern-Correcting Turbo Equalizer
SML: Semantic Meta-learning for Few-shot Semantic Segmentation
The Role of Large Language Models in the Recognition of Territorial Sovereignty: An Analysis of the Construction of Legitimacy
Parallel Computation of Alpha Complex for Biomolecules
Magicremover: Tuning-free Text-guided Image inpainting with Diffusion Models
A* Orthogonal Matching Pursuit: Best-First Search for Compressed Sensing Signal Recovery
Neural Amortized Inference for Nested Multi-agent Reasoning
Finding Light Spanners in Bounded Pathwidth Graphs
On the (parameterized) complexity of recognizing well-covered (r, l)-graphs
A New Framework for Query Efficient Active Imitation Learning
Toward Characteristic-Preserving Image-based Virtual Try-On Network
ClouNS - A Cloud-native Application Reference Model for Enterprise Architects
Inertially Assisted Semi-Direct Visual Odometry for Fixed Wing Autonomous Unmanned Air Vehicles
The Current State of Finnish NLP
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
Deep Learning For Time Series Analysis With Application On Human Motion
Cold-start Playlist Recommendation with Multitask Learning
Epistemological Relevance and Statistical Knowledge
Opinion Exchange Dynamics
Combined Task and Motion Planning as Classical AI Planning
Coarser Equivalences for Concurrent Program Runs
Parallelization of Petri Nets via Polynomials
J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge
Py maidr: Bridging Visual and Non-Visual Data Experiences Through a Unified Python Framework
What Makes Diffusion Language Models Super Data Learners?
Semi-discrete heat equations with variable coefficients and the parametrix method
Multi-Garment Customized Model Generation
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging
Nodal finite element approximation of peridynamics
Fast and robust quantum state tomography from few basis measurements
Configuration Defects in Kubernetes
Distributed Position Localization and Tracking (DPLT) of Malicious Nodes in Cluster Based Mobile Ad hoc Networks (MANET)
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
GPG: Generalized Policy Gradient Theorem for Transformer-based Policies
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Live Captions in Virtual Reality (VR)
Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System
High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency
Optimal strategies for weighted ray search
An Add-On for Empowering Google Forms to be an Automatic Question Generator in Online Assessments
Chaitin Omega numbers and halting problems
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
Intensity Video Guided 4D Fusion for Improved Highly Dynamic 3D Reconstruction
MVP2P: Layer-Dependency-Aware Live MVC Video Streaming over Peer-to-Peer Networks
Stochastic Modelling of Elasticity Tensors
Temporal Interception and Present Reconstruction: A Cognitive-Signal Model for Human and AI Decision Making
Technology Report : Smartphone-Based Pedestrian Dead Reckoning Integrated with Data-Fusion-Adopted Visible Light Positioning
Be Greedy in Multi-Armed Bandits
Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data
Relaxed Majorization-Minimization for Non-smooth and Non-convex Optimization
Proper Orthogonal Decomposition Mode Coefficient Interpolation: A Non-Intrusive Reduced-Order Model for Parametric Reactor Kinetics
On Safety Assessment of Artificial Intelligence
Energy Optimized Piecewise Polynomial Approximation Utilizing Modern Machine Learning Optimizers
Asynchronous Distributed Searchlight Scheduling
Morality in the mundane: Categorizing moral reasoning in real-life social situations
Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network
RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale
Firefighter Problem with Minimum Budget: Hardness and Approximation Algorithm for Unit Disk Graphs
DocMMIR: A Framework for Document Multi-modal Information Retrieval
On the Role of Age and Semantics of Information in Remote Estimation of Markov Sources
The Review and Analysis of Human Computer Interaction (HCI) Principles
"What's The Context?" : Long Context NLM Adaptation for ASR Rescoring in Conversational Agents
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom
Super-Resolution MIMO Radar
Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark
Solving coupled Lane-Emden equations by Green's function and decomposition technique