yusuke1997/dblp-id-title huggingface dataset:
Simplified Stochastic Feedforward Neural Networks
Safe But Not Sorry: Reducing Over-Conservatism in Safety Critics via Uncertainty-Aware Modulation
Kinematic and Dynamic Analysis of the 2-DOF Spherical Wrist of Orthoglide 5-axis
Efficient Speech Watermarking for Speech Synthesis via Progressive Knowledge Distillation
PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems
Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation
Towards Santali Linguistic Inclusion: Building the First Santali-to-English Translation Model using mT5 Transformer and Data Augmentation
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data
Decision Making with Argumentation Graphs
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
Adaptive Delay-Tolerant Distributed Space-Time Coding Based on Adjustable Code Matrices for Cooperative MIMO Relaying Systems
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting
Software-Defined Virtual Synchronous Condenser
HDDL 2.1: Towards Defining a Formalism and a Semantics for Temporal HTN Planning
A Survey of Link Prediction in Temporal Networks
The UPLNC Compiler: Design and Implementation
Computational Topology for Approximations of Knots
Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices
A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
Necessary and sufficient conditions for the identifiability of loops
Multilingual JobBERT for Cross-Lingual Job Title Matching
Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform
Continuous Approximations for Improving Quantization Aware Training of LLMs
The submodular secretary problem under a cardinality constraint and with limited resources
Data-driven Feature Tracking for Event Cameras
Semantic-Aware Label Placement for Augmented Reality in Street View
Language Models are Few-shot Learners for Prognostic Prediction
A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
The Peril of Popular Deep Learning Uncertainty Estimation Methods
A new bound for the capacity of the deletion channel with high deletion probabilities
Decoding Algebraic Geometry codes by a key equation
Improved Signal Detection for Ambient Backscatter Communications
From Evaluation to Defense: Advancing Safety in Video Large Language Models
Evolution of the number of GitHub users in Spain
Formal verification of an industrial UML-like model using mCRL2 (extended version)
A Mobile Transient Internet Architecture
Towards a Complete Direct Mapping From Relational Databases To Property Graphs
Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence
A Multi-Embedding Convergence Network on Siamese Architecture for Fake Reviews
Computation of the Beavers-Joseph slip coefficient for coupled Stokes/Darcy problems
Geotechnical Parrot Tales (GPT): Harnessing Large Language Models in geotechnical engineering
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition
Task Allocation in Customer-led Two-sided Markets with Satellite Constellation Services
Exploration vs. Exploitation in the Information Filtering Problem
A Comparative Study of Homomorphic and Searchable Encryption Schemes for Cloud Computing
CityGen: Infinite and Controllable 3D City Layout Generation
Explainable AI does not provide the explanations end-users are asking for
CLIMATELI: Evaluating Entity Linking on Climate Change Data
Consistent Assistant Domains Transformer for Source-free Domain Adaptation
GNN's Uncertainty Quantification using Self-Distillation
Exploring the traditional NMT model and Large Language Model for chat translation
Hidden Cyber-Physical Contingency Identification, Classification and Evaluation in Modern Power Systems
Beyond Scale: the Diversity Coefficient as a Data Quality Metric Demonstrates LLMs are Pre-trained on Formally Diverse Data
Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
Generative Modeling of High-resolution Global Precipitation Forecasts
Genetic-tunneling driven energy optimizer for magnetic system
Variable stepsize SDIMSIMs for ordinary differential equations
Harvesting Resource Allocation in Energy Harvesting Wireless Sensor Networks
GbHammer: Malicious Inter-process Page Sharing by Hammering Global Bits in Page Table Entries
NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset
Long-Term Hourly Scenario Generation for Correlated Wind and Solar Power combining Variational Autoencoders with Radial Basis Function Kernels
Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network
Do Large Language Model Understand Multi-Intent Spoken Language ?
A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration
Parameter-Free High-Dimensional Screening Using Multiple Grouping of Variables
Deep Attention-based Representation Learning for Heart Sound Classification
GIPA: General Information Propagation Algorithm for Graph Learning
Challenges and Insights: Exploring 3D Spatial Features and Complex Networks on the MISP Dataset
SCBench: A Sports Commentary Benchmark for Video LLMs
StableGS: A Floater-Free Framework for 3D Gaussian Splatting
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Fitting Ranked English and Spanish Letter Frequency Distribution in U.S. and Mexican Presidential Speeches
Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data
Improvements of real coded genetic algorithms based on differential operators preventing premature convergence
Contextual Gradient Flow Modeling for Large Language Model Generalization in Multi-Scale Feature Spaces
Speeding up Future Video Distribution via Channel-Aware Caching-Aided Coded Multicast
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems
An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification
RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis
Expanding Access to Music Technology - Rapid Prototyping Accessible Instrument Solutions For Musicians With Intellectual Disabilities
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
Principles and Parameters: a coding theory perspective
TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems
Needle Biopsy And Fiber-Optic Compatible Robotic Insertion Platform
Audiomer: A Convolutional Transformer for Keyword Spotting
Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion
How to Stop Consensus Algorithms, locally?
Cyclotomy, cyclotomic cosets and arithmetic properties of some families in 𝔽 l [x] / ⟨ x p s q t -1⟩
Recursive Session Logical Relations
Min-Max Similarity: A Contrastive Learning Based Semi-Supervised Learning Network for Surgical Tools Segmentation
Memory-Efficient Training with In-Place FFT Implementation
RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs
Meaningful Maps - Object-Oriented Semantic Mapping
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm
Proceedings Twelfth Workshop on Fixed Points in Computer Science
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection
Quantum Image Denoising with Machine Learning: A Novel Approach to Improve Quantum Image Processing Quality and Reliability
Position Masking for Language Models
Sense-and-Predict: Opportunistic MAC Based on Spatial Interference Correlation for Cognitive Radio Networks
A Reflection on the Structure and Process of the Web of Data
Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series
Numerical method for the one phase 1D fractional Stefan problem supported by an artificial neural network
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation
MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment
Quantum Hypothesis Testing and Non-Equilibrium Statistical Mechanics
Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
Loss Jump During Loss Switch in Solving PDEs with Neural Networks
Towards an algebraic approach to the reconfiguration CSP
Explainable Multimodal Machine Learning for Revealing Structure-Property Relationships in Carbon Nanotube Fibers
Uncomputably Large Integral Points on Algebraic Plane Curves?
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Secure Computation in a Bidirectional Relay
Programming Unikernels in the Large via Functor Driven Development
Nonlinear dimension reduction for surrogate modeling using gradient information
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT
Economic Analysis and Optimization of Energy Storage Configuration for Park Power Systems Based on Random Forest and Genetic Algorithm
Only YOU Can Make IEEE VIS Environmentally Sustainable
Agentic Workflows for Conversational Human-AI Interaction Design
Guidelines for Applying RL and MARL in Cybersecurity Applications
Uncovering Gaps Between RFC Updates and TCP/IP Implementations: LLM-Facilitated Differential Checks on Intermediate Representations
Which Heads Matter for Reasoning? RL-Guided KV Cache Compression
Context-Aware D2D Peer Selection for Load Distribution in LTE Networks
SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform
On the reduction of nonlinear electromechanical systems
Probabilistic 3D Multi-Object Tracking for Autonomous Driving
Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks
EvoDev: An Iterative Feature-Driven Framework for End-to-End Software Development with LLM-based Agents
A Linear Transportation L p Distance for Pattern Recognition
Automated Failure-Mode Clustering and Labeling for Informed Car-To-Driver Handover in Autonomous Vehicles
Curiosity-driven 3D Scene Structure from Single-image Self-supervision
Precise Benchmarking of Explainable AI Attribution Methods
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance
Complex phase retrieval from subgaussian measurements
Impact of Spatial Multiplexing on Throughput of Ultra-Dense mmWave AP Network
Blimp-based Crime Scene Analysis
Detection of Consonant Errors in Disordered Speech Based on Consonant-vowel Segment Embedding
Private Text Generation by Seeding Large Language Model Prompts
Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation
Dynamic Planning for Sequential Whole-body Mobile Manipulation
Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels
Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study
Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes
From Plate to Production: Artificial Intelligence in Modern Consumer-Driven Food Systems
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control
Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning
FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities
Towards A Broader Acceptance Of Formal Verification Tools: The Role Of Education
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
Spectrum Trading for Device-to-Device Communication In Cellular Networks using Incomplete Information Bandwidth-Auction Game
TunnelSense: Low-power, Non-Contact Sensing using Tunnel Diodes
Optimal signals assignment for eBay View Item page
Statistical Learning of Arbitrary Computable Classifiers
AirGuard - Protecting Android Users From Stalking Attacks By Apple Find My Devices
Accounting for gender research performance differences in ranking universities
LangSuitE: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments
Delay Bounds for Networks with Heavy-Tailed and Self-Similar Traffic
Towards Discrete Solution: A Sparse Preserving Method for Correspondence Problem
Do Artificial Intelligence Systems Understand?
Generalized Moving Peaks Benchmark
Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems
High-fidelity 3D Gaussian Inpainting: preserving multi-view consistency and photorealistic details
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance
Structured Index Coding Problem and Multi-access Coded Caching
Neural Augmented Min-Sum Decoding of Short Block Codes for Fading Channels
MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing
A general purpose algorithm for counting simple cycles and simple paths of any length
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
Further Exploration of Precise Binding Energies from Physics Informed Machine Learning and the Development of a Practical Ensemble Model
CPTR: Full Transformer Network for Image Captioning
On Linear Codes Whose Hermitian Hulls are MD
The Explicit values of the UBCT, the LBCT and the DBCT of the inverse function
Rapid Prototyping of 3D Microstructures: A Simplified Grayscale Lithography Encoding Method Using Blender
The RBF Collocation Method to Design a Digital Twin for Coffee Percolation
Quantum Combinatorial Games
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence
Beyond Trolling: Malware-Induced Misperception Attacks on Polarized Facebook Discourse
Interruptions detection in video conferences
VRScout: Towards Real-Time, Autonomous Testing of Virtual Reality Games
Power Loading based on Portfolio Theory for Densified Millimeter-Wave Small-Cell Communications
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations
On the complexity of isomorphism problems for tensors, groups, and polynomials IV: linear-length reductions and their applications
A unified framework for modeling and implementation of hybrid systems with synchronous controllers
From Task Classification Towards Similarity Measures for Recommendation in Crowdsourcing Systems
Quantum advantage from random geometrically-two-local Hamiltonian dynamics
To Know Where We Are: Vision-Based Positioning in Outdoor Environments
Interpreting network communicability with stochastic models and data
A Comprehensive Study of Bugs in Modern Distributed Deep Learning Systems
Computing envy-freeable allocations with limited subsidies
Real time ridge orientation estimation for fingerprint images
OPD@NL4Opt: An ensemble approach for the NER task of the optimization problem
The benefits and costs of explainable artificial intelligence in visual quality control: Evidence from fault detection performance and eye movements
A review of maximum-norm a posteriori error bounds for time-semidiscretisations of parabolic equations
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
CNN Fixations: An unraveling approach to visualize the discriminative image regions
Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving
DialogZoo: Large-Scale Dialog-Oriented Task Learning
Change actions: from incremental computation to discrete derivatives
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
Data-Efficient Prediction-Powered Calibration via Cross-Validation
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points
Constrained Model-Free Reinforcement Learning for Process Optimization
Do AI Models Perform Human-like Abstract Reasoning Across Modalities?
Joint State and Input Estimation for Linear Dynamical Systems with Sparse Control
Design, Implementation and Control of an Underactuated Hand Exoskeleton
A multidimensional principal component analysis via the c-product Golub-Kahan-SVD for classification and face recognition
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography
Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway
ReSim: Reliable World Simulation for Autonomous Driving
ARC Nav - A 3D Navigation Stack for Autonomous Robots
Fibonacci Binning
Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth
Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision Traceability
Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing
A design-through-analysis approach using the Finite Cell Method (ECCOMAS Congress 2016)
Causal discovery for time series with constraint-based model and PMIME measure
Real-time Rescheduling in Distributed Railway Network: An Agent-Based Approach
Constant congestion brambles in directed graphs
Finite Difference Method for Global Stabilization of the Viscous Burgers' Equation with Nonlinear Neumann Boundary Feedback Control
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
MoDS: Model-oriented Data Selection for Instruction Tuning
Learn What NOT to Learn: Towards Generative Safety in Chatbots
GSON: A Group-based Social Navigation Framework with Large Multimodal Model
Robust Reinforcement Learning via Adversarial Kernel Approximation
Explainable Unsupervised Change-point Detection via Graph Neural Networks
Beyond English: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs
Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of JSC Apatit
Optimization Perspectives on Shellsort
Scalable Gaussian Processes on Discrete Domains
I(FIB)F: Iterated Bloom Filters for Routing in Named Data Networks
Competitive Algorithms for Online Knapsack with Succinct Predictions
Improving Group Fairness in Knowledge Distillation via Laplace Approximation of Early Exits
The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
Path Throughput Importance Weights
Multi-Commodity Nash Flows Over Time
Submodular Context Partitioning and Compression for In-Context Learning
Configuring Timing Parameters to Ensure Execution-Time Opacity in Timed Automata
Impact of Exponent Parameter Value for the Partition Matrix on the Performance of Fuzzy C Means Algorithm
Pluralistic Behavior Suite: Stress-Testing Multi-Turn Adherence to Custom Behavioral Policies
FOL-Pretrain: A complexity annotated corpus of first-order logic
Convergence Analysis of Differential Evolution Variants on Unconstrained Global Optimization Functions
Generating Stable Placements via Physics-guided Diffusion Models
Caption Generation of Robot Behaviors based on Unsupervised Learning of Action Segments
One-Round Active Learning
Multi-Agent Routing and Scheduling Through Coalition Formation
Task-Oriented Dialogue with In-Context Learning
Cluster Evaluation of Density Based Subspace Clustering
360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning
3D Quasiconformal Representation and Solver
Convergence Analysis of the Rank-Restricted Soft SVD Algorithm
Uncertainty-Aware Evaluation for Vision-Language Models
Architecture specification of parametric component-based systems
The User-Centric Geo-Experience: An LLM-Powered Framework for Enhanced Planning, Navigation, and Dynamic Adaptation
Binned Spectral Power Loss for Improved Prediction of Chaotic Systems
Resource Allocation with Padding Overhead in OFDMA based Next Generation 802.11 WLANs
Higher Order Aitken Extrapolation with Application to Converging and Diverging Gauss-Seidel Iterations
Lightweight Hardware Architectures for Efficient Secure Hash Functions ECHO and Fugue
What will it take to generate fairness-preserving explanations?
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing
Towards Sharper First-Order Adversary with Quantized Gradients
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds
Reinforcement Control with Hierarchical Backpropagated Adaptive Critics
Pharmacoprint - a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media
Utilizing Computer Vision for Continuous Monitoring of Vaccine Side Effects in Experimental Mice
Highway Hull Revisited
Towards Human-like Preference Profiling in Sequential Recommendation
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields
Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry
SQRQuerier: A Visual Querying Framework for Cross-national Survey Data Recycling
Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast
Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes
Languages of Play: Towards semantic foundations for game interfaces
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model
Mining patterns in syntax trees to automate code reviews of student solutions for programming exercises
Graphene and Related Materials for the Internet of Bio-Nano Things
KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG
Interactions between Health Searchers and Search Engines
Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities
Vocal signal digital processing. Instrument for analog to digital conversion study
Minimal Actuator Placement with Optimal Control Constraints
Mind the Gap: Foundation Models and the Covert Proliferation of Military Intelligence, Surveillance, and Targeting
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
Fundamental limitations of sensitivity metrics for anomaly impact analysis in LTI systems
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset
FlashVLM: Text-Guided Visual Token Selection for Large Multimodal Models
Parameterized Verification of Safety Properties in Ad Hoc Network Protocols
Deep Learning and Machine Vision for Food Processing: A Survey
Norm of word embedding encodes information gain
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks