yusuke1997/dblp-id-title huggingface dataset:
Algebraic Conditions for Stability in Runge-Kutta Methods and Their Certification via Semidefinite Programming
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation
Quantum de Finetti theorem measured with fully one-way LOCC norm
Hyperoctant Search Clustering: A Method for Clustering Data in High-Dimensional Hyperspheres
Strategic Investment in Energy Markets: A Multiparametric Programming Approach
Parallel parametric linear programming solving, and application to polyhedral computations
Structural Analysis of Multi-Core Processor and Reliability Evaluation Model
Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact
Anomaly distinguishability in an asteroid analogue using quasi-monostatic experimental radar measurements
Coefficient-based Regularized Distribution Regression
Digital Democracy in the Age of Artificial Intelligence
Clinical Prompt Learning with Frozen Language Models
Time-continuous strongly conservative space-time finite element methods for the dynamic Biot model
Jaynes Machine: The universal microstructure of deep neural networks
Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
On a class of constacyclic codes over the non-principal ideal ring Z p s +uZ p s
EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
Information Rates of Approximate Message Passing for Bandlimited Direct-Detection Channels
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
A Systematic Literature Review on Automated Exploit and Security Test Generation
Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks
On active and passive testing
Two-Dimensional Wide Dynamic Range Displacement Sensor using Dielectric Resonator Coupled Microwave Circuit
A parameter-free population-dynamical approach to health workforce supply forecasting of EU countries
Predict-then-Optimize Method for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Stream
Integrating Product Coefficients for Improved 3D LiDAR Data Classification
Algebraic Properties of Subquasigroups and Construction of Cryptographically Suitable Finite Quasigroups
Exploring Privacy and Security as Drivers for Environmental Sustainability in Cloud-Based Office Solutions (Extended Abstract)
An ISP Level Solution to Combat DDoS Attacks using Combined Statistical Based Approach
cuHPX: GPU-Accelerated Differentiable Spherical Harmonic Transforms on HEALPix Grids
On private information retrieval array codes
Random matrices meet machine learning: a large dimensional analysis of LS-SVM
OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow
Roofline Model for UAVs: A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones
FunAudio-ASR Technical Report
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks
With or Without Replacement? Improving Confidence in Fourier Imaging
Discovering the hidden community structure of public transportation networks
Improving LLM Code Generation with Grammar Augmentation
MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
Optimal error estimate for a space-time discretization for incompressible generalized Newtonian fluids: The Dirichlet problem
pGMM Kernel Regression and Comparisons with Boosted Trees
MTTR-A: Measuring Cognitive Recovery Latency in Multi-Agent Systems
Regulation conform DLT-operable payment adapter based on trustless - justified trust combined generalized state channels
Evaluating Idle Animation Believability: a User Perspective
AriEL: volume coding for sentence generation
End-to-End Multi-Task Learning with Attention
Diffusion Based Cooperative Molecular Communication in Nano-Networks
Predictors from causal features do not generalize better to new domains
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Heatmap Guided Query Transformers for Robust Astrocyte Detection across Immunostains and Resolutions
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
When and How Unlabeled Data Provably Improve In-Context Learning
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis
AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification
An Energy-Efficient Heterogeneous Memory Architecture for Future Dark Silicon Embedded Chip-Multiprocessors
Predicting the Impact of Measures Against P2P Networks on the Transient Behaviors
Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts
Pacing Types: Safe Monitoring of Asynchronous Streams
Properties of simple sets in digital spaces. Contractions of simple sets preserving the homotopy type of a digital space
A Taxonomy of Systemic Risks from General-Purpose AI
Generalized Dictionary Matching under Substring Consistent Equivalence Relations
Domino: Dominant Path-based Compensation for Hardware Impairments in Modern WiFi Sensing
A Generic Workforce Scheduling and Routing Problem with the Vehicle Sharing and Drop-off and Pick-up Policies
Graph Contrastive Learning for Connectome Classification
Bit Partitioning Schemes for Multicell Zero-Forcing Coordinated Beamforming
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection
Key and Value Weights Are Probably All You Need: On the Necessity of the Query, Key, Value weight Triplet in Decoder-Only Transformers
The rich still get richer: Empirical comparison of preferential attachment via linking statistics in Bitcoin and Ethereum
Parallelizing Windowed Stream Joins in a Shared-Nothing Cluster
Identifying Web Tables - Supporting a Neglected Type of Content on the Web
Reinforcement learning based local path planning for mobile robot
Ignoring Distractors in the Absence of Labels: Optimal Linear Projection to Remove False Positives During Anomaly Detection
Post-OCR Document Correction with large Ensembles of Character Sequence Models
ClusterTabNet: Supervised clustering method for table detection and table structure recognition
An Industrial Experience Report on Retro-inspection
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
Improving Document Retrieval Coherence for Semantically Equivalent Queries
FedGIG: Graph Inversion from Gradient in Federated Learning
Computing nearest neighbour interchange distances between ranked phylogenetic trees
Shape Recognition by Bag of Skeleton-associated Contour Parts
State Prediction of Human-in-the-Loop Multi-rotor System with Stochastic Human Behavior Model
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
Semiclassical genetic algorithm with quantum crossover and mutation operations
A parallel-in-time multigrid solver with a new two-level convergence for two-dimensional unsteady fractional Laplacian problems
Evaluating AI systems under uncertain ground truth: a case study in dermatology
Robust iterative method for symmetric quantum signal processing in all parameter regimes
A Practical Sparse Approximation for Real Time Recurrent Learning
Flexible SE(2) graph neural networks with applications to PDE surrogates
A geospatial bounded confidence model including mega-influencers with an application to Covid-19 vaccine hesitancy
Design and Implementation of an Intelligent Educational Model Based on Personality and Learner's Emotion
Artificial Intelligence-Driven Network-on-Chip Design Space Exploration: Neural Network Architectures for Design
Filtering algorithms using shiftable kernels
QiMeng-CRUX: Narrowing the Gap between Natural Language and Verilog via Core Refined Understanding eXpression
Von Data Warehouse bis Data Mesh: Ein Wegweiser durch den Dschungel analytischer Datenarchitekturen
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths
A New TCP/AQM System Analysis
Variable Rate Deep Image Compression with Modulated Autoencoder
Development of a Scaled Setup for Experimental Study of the Effect of Lateral Dynamics on Energy Consumption in Electric Vehicles: An Extension
Navigating the New Landscape: A Conceptual Model for Project-Based Assessment (PBA) in the Age of GenAI
Global Collaboration through Local Interaction in Competitive Learning
Online Scheduling of Time-Critical Tasks to Minimize the Number of Calibrations
HORT: Monocular Hand-held Objects Reconstruction with Transformers
On the Mode-Seeking Properties of Langevin Dynamics
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
Proceedings 6th International Workshop on Computing with Terms and Graphs, TERMGRAPH 2011, Saarbrücken, Germany, 2nd April 2011
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations
Unsupervised Learning with Stein's Unbiased Risk Estimator
UAV Based 5G Network: A Practical Survey Study
Sign Language to Text Conversion in Real Time using Transfer Learning
Towards a complete classification of holographic entropy inequalities
Decoding Visual Neural Representations by Multimodal with Dynamic Balancing
Studying Artist Sentiments around AI-generated Artwork
Reprogramming under constraints: Revisiting efficient and reliable transferability of lottery tickets
Off-the-grid Two-Dimensional Line Spectral Estimation With Prior Information
Error bounds for consistent reconstruction: random polytopes and coverage processes
Generative Adversarial Models for People Attribute Recognition in Surveillance
Submitting surveys via a conversational interface: an evaluation of user acceptance and approach effectiveness
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning
On Recovering Higher-order Interactions from Protein Language Models
Contention Resolution Without Collision Detection
A note on measurement of network vulnerability under random and intentional attacks
Self-Organizing Maps Classification with Application to Laptop's Adapters Magnetic Field
Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience
Sparse Attention Decomposition Applied to Circuit Tracing
Network Flows for Functions
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Vocabulary Attack to Hijack Large Language Model Applications
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines
Noisy Early Stopping for Noisy Labels
Coordinated exploration for labyrinthine environments with application to the Pursuit-Evasion problem
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision
Parity Check Codes for Second Order Diversity
Playing cooperatively with possibly treacherous partner
Raccoons vs Demons: multiclass labeled P300 dataset
Who is Helping Whom? Student Concerns about AI- Teacher Collaboration in Higher Education Classrooms
Reducing Reconfiguration Time in Hybrid Optical-Electrical Datacenter Networks (Extended Abstract)
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
Robust Classification via Support Vector Machines
Alternatives of Unsupervised Representations of Variables on the Latent Space
Graph Neural Network-Based Distributed Optimal Control for Linear Networked Systems: An Online Distributed Training Approach
RandALO: Out-of-sample risk estimation in no time flat
Several ways to achieve robustness when solving wave propagation problems
Integrating Large Language Models with Graphical Session-Based Recommendation
ICEPool: Enhancing Graph Pooling Networks with Inter-cluster Connectivity
Multi-Stakeholder Disaster Insights from Social Media Using Large Language Models
Towards a Framework Combining Machine Ethics and Machine Explainability
Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures
An Efficient Network Solver for Dynamic Simulation of Power Systems Based on Hierarchical Inverse Computation and Modification
A Linear-Time Algorithm for Steady-State Analysis of Electromigration in General Interconnects
Fundamental Schemes for Efficient Unconditionally Stable Implicit Finite-Difference Time-Domain Methods
End-to-End Architecture Modularisation and Slicing for Next Generation Networks
AGORA: Adversarial Generation Of Real-time Animatable 3D Gaussian Head Avatars
Network Weaving to Foster Resilience and Sustainability in ICT4D
Marketing Mix Modeling in Lemonade
Faster Spatially Regularized Correlation Filters for Visual Tracking
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing
Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval
Stability Analysis of Fractional Differential Equations with Unknown Parameters
3-D Statistical Channel Model for Millimeter-Wave Outdoor Mobile Broadband Communications
Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)
An Empirical Study on the Code Refactoring Capability of Large Language Models
Error Control Codes: A Novel Solution for Secret Key Generation and Key Refreshment Problem
Novel Compliant omnicrawler-wheel transforming module
Inter-Operator Resource Management for Millimeter Wave, Multi-Hop Backhaul Networks
Alleviating partisan gerrymandering: can math and computers help to eliminate wasted votes?
Discrete Line Fields on Surfaces
Meta-Learning by the Baldwin Effect
A Survey of Neural Network Techniques for Feature Extraction from Text
Tarzan: Passively-Learned Real-Time Rate Control for Video Conferencing
An explicit Euler method for McKean-Vlasov SDEs driven by fractional Brownian motion
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
Fragment size density estimator for shrinkage-induced fracture based on a physics-informed neural network
Maximizing the Spread of Stable Influence: Leveraging Norm-driven Moral-Motivation for Green Behavior Change in Networks
Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition under general source
Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets
Data-driven design of explicit predictive controllers using model-based priors
Serverless Scheduling Policies based on Cost Analysis
Towards Next Generation Data Engineering Pipelines
Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing
Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
Re-DiffiNet: Modeling discrepancies loss in tumor segmentation using diffusion models
Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation
Formal Foundations for Controlled Stochastic Activity Networks
Search Efficiency in Indexing Structures for Similarity Searching
Multimodal Fusion on Low-quality Data: A Comprehensive Survey
Attribution Analysis of Grammatical Dependencies in LSTMs
Attitudes towards Refugees in Light of the Paris Attacks
On the Cognitive Interference Channel with Unidirectional Destination Cooperation
SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection
Timeline-based Process Discovery
Sensitivity to Haptic-Audio Envelope Asynchrony
On the determination of cusp points of 3-R\underline{P}R parallel manipulators
How to find real-world applications for compressive sensing
Resolving Spatial-Time Conflicts In A Set Of Any-angle Or Angle-constrained Grid Paths
Edge Computing and its Application in Robotics: A Survey
Parameter uniform numerical method for singularly perturbed two parameter parabolic problem with discontinuous convection coefficient and source term
Cooperative control of multi-agent systems to locate source of an odor
Perception-Inspired Color Space Design for Photo White Balance Editing
Weighted L p -Discrepancy Bounds for Parametric Stratified Sampling and Applications to High-Dimensional Integration
VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination
Object Detection in Videos by Short and Long Range Object Linking
Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)
Voter Verification of BMD Ballots Is a Two-Part Question: Can They? Mostly, They Can. Do They? Mostly, They Don't
A Momentum-Conserving Implicit Material Point Method for Surface Energies with Spatial Gradients
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis
Generalized Design Choices for Deepfake Detectors
Large Language Models as Instruments of Power: New Regimes of Autonomous Manipulation and Control
Developing patient-driven artificial intelligence based on personal rankings of care decision making steps
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
Expected 1.x-Makespan-Optimal MAPF on Grids in Low-Poly Time
Stateless actor-critic for instance segmentation with high-level priors
Angle-Domain Doppler Pre-Compensation for High-Mobility OFDM Uplink with a Massive ULA
Mixup Training as the Complexity Reduction
QANUS: An Open-source Question-Answering Platform
MATT-Diff: Multimodal Active Target Tracking by Diffusion Policy
Re-thinking Richardson-Lucy without Iteration Cutoffs: Physically Motivated Bayesian Deconvolution
Learning Augmented Graph k -Clustering
Towards Deep Learning Surrogate for the Forward Problem in Electrocardiology: A Scalable Alternative to Physics-Based Models
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives
Modular AWG-based Optical Shuffle Network
Resource Allocation in Public Cluster with Extended Optimization Algorithm
Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics
ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network
General Privacy-Preserving Verifiable Incentive Mechanism for Crowdsourcing Markets
High Pileup Particle Tracking with Object Condensation
Building an AI-ready RSE Workforce
An Empirical Study on the Security Vulnerabilities of GPTs
Packing Dijoins in Weighted Chordal Digraphs
A Note on Equivalent Conditions for Majorization
Estimating air quality co-benefits of energy transition using machine learning
Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health
Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information
Fundamentals of Building Autonomous LLM Agents
How do Pre-Trained Models Support Software Engineering? An Empirical Study in Hugging Face
Computing the intersection of two quadrics through projection and lifting
Functional target controllability of networks: structural properties and efficient algorithms
Retrieval-augmented Prompt Learning for Pre-trained Foundation Models
Practical Secrecy: Bridging the Gap between Cryptography and Physical Layer Security
A Use-Case Driven Approach in Requirements Engineering : The Mammogrid Project
Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning
State-level Racially Motivated Hate Crimes Contrast Public Opinion on the #StopAsianHate and #StopAAPIHate Movement
Levelable Sets and the Algebraic Structure of Parameterizations
Red Teaming Large Reasoning Models
Optimal precision for GANs
HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
Qualitative Concurrent Games with Imperfect Information
Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
Distributed Variational Bayesian Algorithms for Extended Object Tracking
Exploitation of material consolidation trade-offs in a multi-tier complex supply networks
Critical and Maximum Independent Sets of a Graph
Sketch-to-Design: Context-based Part Assembly
Dynamic Balancing of Humanoid Robot Walker3 with Proprioceptive Actuation: Systematic Design of Algorithm, Software and Hardware
Improved Algorithm for Throughput Maximization in MC-CDMA
Flexible inference of learning rules from de novo learning data using neural networks
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal
Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration
LightHCG: a Lightweight yet powerful HSIC Disentanglement based Causal Glaucoma Detection Model framework
Kernel-Elastic Autoencoder for Molecular Design
Towards Invisible Backdoor Attacks in the Frequency Domain against Deep Neural Networks
Tensor Random Projection for Low Memory Dimension Reduction
Perceptual Assessment and Optimization of High Dynamic Range Image Rendering
Complexity of fall coloring for restricted graph classes
Almost-Everywhere Superiority for Quantum Computing
Optimized, Direct Sale of Privacy in Personal-Data Marketplaces
Leveraging Knowledge Graphs for Zero-Shot Object-agnostic State Classification
Several new classes of optimal p-ary cyclic codes
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild
Collaboration based Multi-Label Learning
Gradient Diversity Empowers Distributed Learning
How We Won the ISLES'24 Challenge by Preprocessing
Noise stability of functions with low influences: invariance and optimality
Perturbed gradient descent with occupation time
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders
Camera Measurement of Blood Oxygen Saturation
Predictions For Pre-training Language Models
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features
Incorporating Consistency Verification into Neural Data-to-Document Generation
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual Representations
POCO: Scalable Neural Forecasting through Population Conditioning
At Human Speed: Deep Reinforcement Learning with Action Delay
Bi-National Delay Pattern Analysis For Commercial and Passenger Vehicles at Niagara Frontier Border
Quantum radial basis function method for the Poisson equation
Visual Tracking with Intermittent Visibility: Switched Control Design and Implementation
On the Error-correcting Capability of Twisted Centralizer Codes Obtained from a Fixed Rank-1 Matrix
Starlink : A Solution to the Digital Connectivity Divide in Education in the Global South
Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining
Memorizing Gaussians with no over-parameterizaion via gradient decent on neural networks
Research on Conversational Recommender System Considering Consumer Types
Approaching near-perfect state discrimination of photonic Bell states through the use of unentangled ancilla photons
MobileSAMv2: Faster Segment Anything to Everything
PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation
Multi-Perspective Neural Architecture for Recommendation System
Distributed Matrix Factorization using Asynchrounous Communication
Covert Prompt Transmission for Secure Large Language Model Services