yusuke1997/dblp-id-title huggingface dataset:
Image2Lego: Customized LEGO Set Generation from Images
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks
Automatic Generation of the Axial Lines of Urban Environments to Capture What We Perceive
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
Dense Semantic Correspondence where Every Pixel is a Classifier
Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation
Energy-Conserving Hermite Methods for Maxwell's Equations
End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
Generalised Gately Values of Cooperative Games
Linear Codes from Incidence Matrices of Unit Graphs
Modeling infection methods of computer malware in the presence of vaccinations using epidemiological models: An analysis of real-world data
Serverless Straggler Mitigation using Local Error-Correcting Codes
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
Knowing Where to Focus: Attention-Guided Alignment for Text-based Person Search
Practical Visual Localization for Autonomous Driving: Why Not Filter?
Improving Speaker Representations Using Contrastive Losses on Multi-scale Features
Improving M-SBL for Joint Sparse Recovery using a Subspace Penalty
Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence
Towards Remotely Verifiable Software Integrity in Resource-Constrained IoT Devices
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning
Subgraph-based Tight Frames on Graphs with Compact Supports and Vanishing Moments
Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming
Evaluating the transferability potential of deep learning models for climate downscaling
Human Social Interaction Modeling Using Temporal Deep Networks
High Performance and Portable Convolution Operators for ARM-based Multicore Processors
Computing the average inter-sample time of event-triggered control using quantitative automata
Application of network properties and signal strength to identify face-to-face links in an electronic dataset
In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models
An algorithm for computing cutpoints in finite metric spaces
Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification
Optimal Repair For Omega-regular Properties
Identifying the Causes of Pyrocumulonimbus (PyroCb)
Convergence Analysis of a Local Stationarity Scheme for Rate-Independent Systems and Application to Damage
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
Aggregate Play and Welfare in Strategic Interactions on Networks
A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Tasks
Multiple Domain Causal Networks
A High Availability Management Model based on VM Significance Ranking and Resource Estimation for Cloud Applications
Speaker Diarization: Using Recurrent Neural Networks
Metric entropy of causal, discrete-time LTI systems
UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output
A nonlinear cross-diffusion epidemic with time-dependent SIRD system: Multiscale derivation and computational analysis
Inequalities and Approximations for Fisher Information in the Presence of Nuisance Parameters
Evidence for echo chamber and disagreement effects in the political activity of Twitter users
Toward a multimodal multitask model for neurodegenerative diseases diagnosis and progression prediction
GRIM-Filter: Fast Seed Location Filtering in DNA Read Mapping Using Processing-in-Memory Technologies
Fast and simple decycling and dismantling of networks
An isogeometric finite element formulation for geometrically exact Timoshenko beams with extensible directors
Adaptive Noise Covariance Estimation under Colored Noise using Dynamic Expectation Maximization
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
Results and Analysis of SyGuS-Comp'15
StickyPillars: Robust feature matching on point clouds using Graph Neural Networks
Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
Can Generative AI agents behave like humans? Evidence from laboratory market experiments
Towards scalable cryogenic quantum dot biasing using memristor-based DC sources
Emergent kin selection of altruistic feeding via non-episodic neuroevolution
SEAL - A Symmetry EncourAging Loss for High Energy Physics
A Minimalist Optimizer Design for LLM Pretraining
Information and Power Transfer by Energy Harvesting Transmitters over a Fading Multiple Access Channel with Minimum Rate Constraints
Ridgeformer: Mutli-Stage Contrastive Training For Fine-grained Cross-Domain Fingerprint Recognition
Sampling and Ranking for Digital Ink Generation on a tight computational budget
Cloud-based MPC with Encrypted Data
Unsupervised Multi-Modal Representation Learning for Affective Computing with Multi-Corpus Wearable Data
Generating Sizing Fields for Mesh Generation via GCN-based Simplification of Adaptive Background Grids
Precision Soil Quality Analysis Using Transformer-based Data Fusion Strategies: A Systematic Review
Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions
Push-Pull Optimization of Quantum Controls
Learning-Based Relaxation of Completeness Requirements for Data Entry Forms
Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations
Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories
A Metric-based Principal Curve Approach for Learning One-dimensional Manifold
Goal-Oriented Adaptive Space-Time Finite Element Methods for Regularized Parabolic p-Laplace Problems
Efficient Subgraph Isomorphism using Graph Topology
Learning a Representation of a Believable Virtual Character's Environment with an Imitation Algorithm
Constrained Codes for Rank Modulation
Search-Based Robot Motion Planning With Distance-Based Adaptive Motion Primitives
Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?
Identities in twisted Brauer monoids
Secrecy in MIMO Networks with No Eavesdropper CSIT
Design and Research of a Self-Propelled Pipeline Robot Based on Force Analysis and Dynamic Simulation
For a Semantic Web based Peer-reviewing and Publication of Research Results
An Application-Aware Spectrum Sharing Approach for Commercial Use of 3.5 GHz Spectrum
Region Aware Video Object Segmentation with Deep Motion Modeling
High quality topic extraction from business news explains abnormal financial market volatility
Runtime Optimizations for Prediction with Tree-Based Models
Are automated proof assistants ready for semigroup research? Orientation-preserving mappings and proof assistant Lean
Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT
Analyzing Thermal Buckling in Curvilinearly Stiffened Composite Plates with Arbitrary Shaped Cutouts Using Isogeometric Level Set Method
High Probability Guarantees in Repeated Games: Theory and Applications in Information Theory
Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
A Note on Projection-Based Recovery of Clusters in Markov Chains
Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders
Scalable Tensor Factorizations for Incomplete Data
Salient Object Detection via High-to-Low Hierarchical Context Aggregation
Joint User Association and Beamforming Design for ISAC Networks with Large Language Models
A Wearable RFID-Based Navigation System for the Visually Impaired
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
Behaviors of QCA Inverter due to Cell Displacement and Temperature Variation
Multi-Scenario and Stochastic Thermo-Electro-Mechanical Modeling of Failure in Power Transmission Lines
Comprehending Variability in Analysis Results of Software Product Lines
Evaluating Rapid Makespan Predictions for Heterogeneous Systems with Programmable Logic
Group percolation in interdependent networks
Proceedings of the Third Workshop on Software Foundations for Data Interoperability (SFDI2019+), October 28, 2019, Fukuoka, Japan
Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies
Design Theory to improve health evidence retrieval
Comparative Study of Virtual Machines and Containers for DevOps Developers
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation
Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data
Dynamic Action Recognition: A convolutional neural network model for temporally organized joint location data
KUNPENG: An Embodied Large Model for Intelligent Maritime
Information-theoretic analysis of MIMO channel sounding
Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Learnable Channel Attention
Spherical cap discrepancy of perturbed lattices under the Lambert projection
CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research
Proposal of Automatic Offloading for Function Blocks of Applications
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)
Object-Aware Impedance Control for Human-Robot Collaborative Task with Online Object Parameter Estimation
Modeling of aerodynamic Space-to-Surface flight with optimal trajectory for targeting
The language of time: a language model perspective on time-series foundation models
Morse Theoretic Signal Compression and Reconstruction on Chain Complexes
Exploring the Learning Difficulty of Data Theory and Measure
Can Ground Truth Label Propagation from Video help Semantic Segmentation?
"Test, Build, Deploy" - A CI/CD Framework for Open-Source Hardware Designs
Seeking Late Night Life Lines: Experiences of Conversational AI Use in Mental Health Crisis
Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant
Voltage Control of DC Islanded Microgrids: Scalable Decentralised L1 Adaptive Controllers
Empirically Evaluating Multiagent Learning Algorithms
Session Type Inference in Haskell
Quantum Financial Economics of Games of Strategy and Financial Decisions
Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling
Differentiable High-Order Markov Models for Spectrum Prediction
Framework of Voting Prediction of Parliament Members
Enhanced Pruning for Distributed Closeness Centrality under Multi-Packet Messaging
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling
LoopExpose: An Unsupervised Framework for Arbitrary-Length Exposure Correction
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning
Multi-View Image-to-Image Translation Supervised by 3D Pose
Recent Trends in 2D Object Detection and Applications in Video Event Recognition
User Profiling from Reviews for Accurate Time-Based Recommendations
Learning a Canonical Basis of Human Preferences from Binary Ratings
When, Why and How Much? Adaptive Learning Rate Scheduling by Refinement
Datacenter Traffic Control: Understanding Techniques and Trade-offs
The Slow Space Editor : Broadening Access to Restorative XR
Approximation algorithms for covering vertices by long paths
EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis
Associative Memory using Attribute-Specific Neuron Groups-1: Learning between Multiple Cue Balls
Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models
Local Training for PLDA in Speaker Verification
Extending Gossip Algorithms to Distributed Estimation of U-Statistics
802.11g Signal Strength Evaluation in an Industrial Environment
Gentlemen on the Road: Effect of Yielding Behavior of Autonomous Vehicle on Pedestrian Head Orientation
Improving SGD convergence by tracing multiple promising directions and estimating distance to minimum
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models
Perceiving Motion Cues Inspired by Microsoft Kinect Sensor on Game Experiencing
A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features
Distributed Model Predictive Control with Asymmetric Adaptive Terminal Sets for the Regulation of Large-scale Systems
Unsupervised state representation learning with robotic priors: a robustness benchmark
Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities
Informed Dataset Selection
Deep learning for topology optimization design
Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Spectrum graph coloring and applications to WiFi channel assignment
Can Speech LLMs Think while Listening?
On the entropy numbers and the Kolmogorov widths
Low-Order Mathematical Modelling of Electric Double Layer Supercapacitors Using Spectral Methods
On Accelerated Testing for COVID-19 Using Group Testing
PixelNav: Towards Model-based Vision-Only Navigation with Topological Graphs
Proportional Conflict Redistribution Rule
Second-Order Optimization via Quiescence
The Yahoo Query Treebank, V. 1.0
Optimized L2-Orthogonal STC CPM for 3 Antennas
SLO-Aware Scheduling for Large Language Model Inferences
Tight Lower Bounds for α-Divergences Under Moment Constraints and Relations Between Different α
Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models
Multi-Scale Feature Fusion Transformer Network for End-to-End Single Channel Speech Separation
Layered Separators in Minor-Closed Families with Applications
Two-Player Incomplete Games of Resilient Multiagent Systems
Deconstructing Generative Diversity: An Information Bottleneck Analysis of Discrete Latent Generative Models
Generalization in Supervised Learning Through Riemannian Contraction
Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study
Prefixes of the Fibonacci word that end with a cube
Intelligent escalation and the principle of relativity
Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive Learning
GPS Spoofing Attacks on Phasor Measurement Units: Practical Feasibility and Countermeasures
Deep-Reinforcement-Learning for Gliding and Perching Bodies
Interpretable Scientific Discovery with Symbolic Regression: A Review
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models
Fundamental Entropic Laws and L p Limitations of Feedback Systems: Implications for Machine-Learning-in-the-Loop Control
P≠NP and All Sets in NP∪coNP Have P-Optimal Proof Systems Relative to an Oracle
Continuous-Aperture MIMO for Electromagnetic Information Theory
Attention based convolutional neural network for predicting RNA-protein binding sites
Economic model predictive control of integrated energy systems: A multi-time-scale framework
WST: Weakly Supervised Transducer for Automatic Speech Recognition
Cooling Matters: Benchmarking Large Language Models and Vision-Language Models on Liquid-Cooled Versus Air-Cooled H100 GPU Systems
AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian
Coordinated Reinforcement Learning Prefetching Architecture for Multicore Systems
On the Sample Complexity of Causal Discovery and the Value of Domain Expertise
Testing for Causal Fairness
From Sequential to Spatial: Reordering Autoregression for Efficient Visual Generation
Generation Alpha: Understanding the Next Cohort of University Students
OpenFPL: An open-source forecasting method rivaling state-of-the-art Fantasy Premier League services
If We May De-Presuppose: Robustly Verifying Claims through Presupposition-Free Question Decomposition
Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product
Speech-FT: A Fine-tuning Strategy for Enhancing Speech Representation Models Without Compromising Generalization Ability
The AI Tutor in Engineering Education: Design, Results, and Redesign of an Experience in Hydrology at an Argentine University
All Superlinear Inverse Schemes are coNP-Hard
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video
Embedding AC Power Flow with Voltage Control in the Complex Plane : The Case of Analytic Continuation via Padé Approximants
The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement
Multilingual E5 Text Embeddings: A Technical Report
Malleable Robots: Reconfigurable Robotic Arms with Continuum Links of Variable Stiffness
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows
Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice
PDE approach to the problem of online prediction with expert advice: a construction of potential-based strategies
Towards holistic scene understanding: Semantic segmentation and beyond
Real-time Top-K Predictive Query Processing over Event Streams
On the half-space matching method for real wavenumber
Counting or producing all fixed cardinality transversals
In-Context Learning for Seismic Data Processing
AVaN Pack: An Analytical/Numerical Solution for Variance-Based Sensitivity Analysis
A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains
CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
A strategy to identify event specific hospitalizations in large health claims database
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning
Localization via Multiple Reconfigurable Intelligent Surfaces Equipped with Single Receive RF Chains
Tree-Cotree-Based IETI-DP for Eddy Current Problems in Time-Domain
Does SWE-Bench-Verified Test Agent Ability or Model Memory?
Uncovering Sociological Effect Heterogeneity using Machine Learning
Stochastic Optimal Control Models for Online Stores
Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
A Geometric Interpretation of the Boolean Gilbert-Johnson-Keerthi Algorithm
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM
The three-step workflow: a pragmatic approach to allocating academic hospitals' affiliations for bibliometric purposes
Classification Recouvrante Basée sur les Méthodes à Noyau
An Expert System for Automatic Reading of A Text Written in Standard Arabic
Twin Neural Network Regression
Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances
Validating RDF with Shape Expressions
Impedance Primitive-augmented Hierarchical Reinforcement Learning for Sequential Tasks
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
A Survey in Adversarial Defences and Robustness in NLP
Enhancing Dictionary Based Preprocessing For Better Text Compression
C2Views: Knowledge-based Colormap Design for Multiple-View Consistency
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis
Modelling Open-Source Software Reliability Incorporating Swarm Intelligence-Based Techniques
On Formalisms for Dynamic Reconfiguration of Dependable Systems
Experiments on Learning Based Industrial Bin-picking with Iterative Visual Recognition
Energy-Efficient Task Offloading and Resource Allocation for Multiple Access Mobile Edge Computing
Size-Change Termination as a Contract
Understanding Editing Behaviors in Multilingual Wikipedia
Semantic Evolutionary Concept Distances for Effective Information Retrieval in Query Expansion
Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometry
Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation
CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling Workloads
Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework
Cochlear Wave Propagation and Dynamics in the Human Base and Apex: Model-Based Estimates from Noninvasive Measurements
Explainability and Continual Learning meet Federated Learning at the Network Edge
Howard's Policy Iteration is Subexponential for Deterministic Markov Decision Problems with Rewards of Fixed Bit-size and Arbitrary Discount Factor
Coupling Physics Informed Neural Networks with External Solvers
The linear sampling method for random sources
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Global Multiple Extraction Network for Low-Resolution Facial Expression Recognition
Low cost cloud based remote microscopy for biological sciences
Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning
3D Model-free Visual localization System from Essential Matrix under Local Planar Motion
A generalised framework for detailed classification of swimming paths inside the Morris Water Maze
An in-depth characterisation of Bots and Humans on Twitter
Autocorrelation values and Linear complexity of generalized cyclotomic sequence of order four, and construction of cyclic codes
Knowledge-Informed Multi-Agent Trajectory Prediction at Signalized Intersections for Infrastructure-to-Everything
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
Realizing Molecular Machine Learning through Communications for Biological AI: Future Directions and Challenges
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation
Double Deep Q-learning Based Real-Time Optimization Strategy for Microgrids
How do language models learn facts? Dynamics, curricula and hallucinations
Implementation of Shor Algorithm: Factoring a 4096-Bit Integer Under Specific Constraints
Defining data science: a new field of inquiry
MiWaves Reinforcement Learning Algorithm
Metrics-Based Spreadsheet Visualization: Support for Focused Maintenance
Multi-parameter Auctions with Online Supply
Solve For Shortest Paths Problem Within Logarithm Runtime
EASE: Extractive-Abstractive Summarization with Explanations
Approximation algorithms for the capacitated k-facility location problems
Stable Haptic Teleoperation of UAVs via Small L 2 Gain and Control Barrier Functions
pyhgf: A neural network library for predictive coding
Proceedings International Workshop on Formal Engineering approaches to Software Components and Architectures, FESCA@ETAPS 2017, Uppsala, Sweden, 22nd April 2017
CoViews: Adaptive Augmentation Using Cooperative Views for Enhanced Contrastive Learning