yusuke1997/dblp-id-title huggingface dataset:
Impact of the 2022 OSTP Memo: A Bibliometric Analysis of U.S. Federally Funded Publications, 2017-2021
AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite
Multi-Advisor Reinforcement Learning
A Fast Projected Fixed-Point Algorithm for Large Graph Matching
Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review
MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems
Improved Auto-Encoding using Deterministic Projected Belief Networks
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text
How Good Are SOTA Fake News Detectors
Features and heterogeneities in growing network models
A Correspondence between Maximal Abelian Sub-Algebras and Linear Logic Fragments
Control Barrier Functions in UGVs for Kinematic Obstacle Avoidance: A Collision Cone Approach
Unambiguous Forest Factorization
Trajectory Aware Macro-cell Planning for Mobile Users
The Stochastic Processes Generation in OpenModelica
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling
Bandits in Matching Markets: Ideas and Proposals for Peer Lending
Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation
Micropolar elastoplasticity using a fast Fourier transform-based solver
GEOBIND: Binding Text, Image, and Audio through Satellite Images
AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation
Unbounded Output Networks for Classification
A Flexible Multi-Agent LLM-Human Framework for Fast Human Validated Tool Building
A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing
Cache Placement in Two-Tier HetNets with Limited Storage Capacity: Cache or Buffer?
CLIP-Clique: Graph-based Correspondence Matching Augmented by Vision Language Models for Object-based Global Localization
DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation
Multiscale Sampling for the Inverse Modeling of Partial Differential Equations
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers
Explainable Fuzzer Evaluation
Enhancing Breast Cancer Classification Using Transfer ResNet with Lightweight Attention Mechanism
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint
Doubly Stochastic Adversarial Autoencoder
RADAR: Effective Network-based Malware Detection based on the MITRE ATT&CK Framework
Finite Representation Property for Relation Algebra Reducts
Shapley Value as Principled Metric for Structured Network Pruning
Deep learning-based approach for tomato classification in complex scenes
On the Need and Applicability of Causality for Fair Machine Learning
A white box solution to the black box problem of AI
Mesh-MLP: An all-MLP Architecture for Mesh Classification and Semantic Segmentation
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
Spectral properties of the Google matrix of the World Wide Web and other directed networks
Text as Statistical Mechanics Object
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection
Open-Set Fault Diagnosis in Multimode Processes via Fine-Grained Deep Feature Representation
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats
A Testability Analysis Framework for Non-Functional Properties
Improved Sensor-Based Animal Behavior Classification Performance through Conditional Generative Adversarial Network
Cooperative Decision-Making in Shared Spaces: Making Urban Traffic Safer through Human-Machine Cooperation
Using Machine Learning to Decide When to Precondition Cylindrical Algebraic Decomposition With Groebner Bases
Deep vessel segmentation based on a new combination of vesselness filters
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction
Modality Inflation: Energy Characterization and Optimization Opportunities for MLLM Inference
A Backstepping Control Method for a Nonlinear Process - Two Coupled-Tanks
Mispronunciation Detection and Diagnosis Without Model Training: A Retrieval-Based Approach
Measuring Place Connectivity Using Big Social Media Data
Three types of quasi-Trefftz functions for the 3D convected Helmholtz equation: construction and theoretical approximation properties
Decentralized model-free reinforcement learning in stochastic games with average-reward objective
Suggest an Aspect-Oriented Design Approach for UML Communication Diagram
Robust Embeddings Via Distributions
Secure Combination of Untrusted Time information Based on Optimized Dempster-Shafer Theory
SportsGPT: An LLM-driven Framework for Interpretable Sports Motion Assessment and Training Guidance
A Proposal for Evaluating the Operational Risk for ChatBots based on Large Language Models
FACTORS: Factorial Approximation for Complementary Two-factor Optimization with Risk-aware Scoring
A Novel Semantics for Belief, Knowledge and Psychological Alethic Modality
Solving 3-Color Parity Games in O(n 2 ) Time
Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study
Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions
Synthetic data generation for Indic handwritten text recognition
Space reduction techniques for the 3-wise Kemeny problem
Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges
Wiener Filters in Gaussian Mixture Signal Estimation with Infinity-Norm Error
Edge-set reduction to efficiently solve the graph partitioning problem with the genetic algorithm
Almost Sure Saddle Avoidance of Stochastic Gradient Methods without the Bounded Gradient Assumption
Grid-based exoplanet atmospheric mass loss predictions through neural network
Linear Nearest Neighbor Synthesis of Reversible Circuits by Graph Partitioning
Self-triggered Consensus Control of Multi-agent Systems from Data
Performance Prediction for Coarse-Grained Locking
An efficient approach of controlling traffic congestion in scale-free networks
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models
A Model for Assessing Network Asset Vulnerability Using QPSO-LightGBM
ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensation
Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Alternatives for Testing of Context-Aware Contemporary Software Systems in industrial settings: Results from a Rapid review
A General Path-Based Representation for Predicting Program Properties
Multi-Armed Bandit Mechanisms for Multi-Slot Sponsored Search Auctions
A Sublinear Time Parallel GCD Algorithm for the EREW PRAM
Definition Modeling: Learning to define word embeddings in natural language
Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection
Graphs of Edge-Intersecting Non-Splitting Paths in a Tree: Towards Hole Representations-Part I
Experiences with Research Processes in an Undergraduate Theory of Computing Course
New Insights into Graph Convolutional Networks using Neural Tangent Kernels
Rare-Allele Detection Using Compressed Se(que)nsing
Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark
Multichannel group sparsity methods for compressive channel estimation in doubly selective multicarrier MIMO systems
Segmentation of Expository Texts by Hierarchical Agglomerative Clustering
Tracking Objects with Higher Order Interactions using Delayed Column Generation
Co-evolutionary hybrid intelligence
A Computational Modeling of Rumor Dissemination
Over-the-Air Computation in MIMO Multi-Access Channels: Beamforming and Channel Feedback
Connecting the World of Embedded Mobiles: The RIOT Approach to Ubiquitous Networking for the Internet of Things
Rational Kernels for Arabic Stemming and Text Classification
FEBER: Feedback Based Erasure Recovery for Real-Time Multicast over 802.11 Networks
Partial Distribution Alignment via Adaptive Optimal Transport
Managing Classical Processing Requirements for Quantum Error Correction
Reweighted Spectral Partitioning Works: Bounds for Special Graph Classes
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
Discovery of differential equations using sparse state and parameter regression
Compressed data structures for Heegaard splittings
Oscillating Magnetic Effect in BiFeO 3
Device-to-Device Data Storage for Mobile Cellular Systems
GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition
Joint Caching and Resource Allocation in D2D-Assisted Wireless HetNet
On a few pitfalls in KL divergence gradient estimation for RL
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
Pareto-Optimal Learning from Preferences with Hidden Context
FIDRS: A Novel Framework for Integrated Distributed Reliable Systems
Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems
Optimal dispatch schedule for a fast EV charging station with account to supplementary battery health degradation
Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications
Structure of lexicographic Groebner bases in three variables of ideals of dimension zero
UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling
AnySyn: A Cost-Generic Logic Synthesis Framework with Customizable Cost Functions
Unsupervised Representation Learning with Laplacian Pyramid Auto-encoders
LLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design Guidelines
A First-Order Approach to Model Simultaneous Control of Multiple Microrobots
SimNet: Computer Architecture Simulation using Machine Learning
Rule-Based Semantic Tagging. An Application Undergoing Dictionary Glosses
A Dynamically Similar Lab-Scale District Heating Network via Dimensional Analysis
DM2RM: Dual-Mode Multimodal Ranking for Target Objects and Receptacles Based on Open-Vocabulary Instructions
Note on fair coin toss via Bitcoin
The Convergence Rate of SGD's Final Iterate: Analysis on Dimension Dependence
ArxNet Model and Data: Building Social Networks from Image Archives
Few Shot Learning with Simplex
Sustainability Competencies and Skills in Software Engineering: An Industry Perspective
Evaluation Ethics of LLMs in Legal Domain
Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset
Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation
Ontology-based industrial data management platform
ML for Location Prediction Using RSSI On WiFi 2.4 GHZ Frequency Band
Efficient Learning Content Retrieval with Knowledge Injection
Visual Planning: Let's Think Only with Images
Methods Of Measurement The Three-Dimensional Wind Waves Spectra, Based On The Processing Of Video Images Of The Sea Surface
Feasible Region: an Actuation-Aware Extension of the Support Region
Terrain visibility with multiple viewpoints
An efficient implicit constraint resolution scheme for interactive FE simulations
Formal Specification and Verification of Separation Kernels: An Overview
Automatic Code Summarization: A Systematic Literature Review
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning
The V-Lab VR Educational Application Framework
Merlin-Arthur Games and Stoquastic Complexity
Hybrid Controlled User Association and Resource Management for Energy-Efficient Green RANs with Limited Fronthaul
Custom Distribution for Sampling-Based Motion Planning
A semantic loss for ontology classification
BG-FlipIn: A Bayesian game framework for FlipIt-insider models in advanced persistent threats
PiSLTRc: Position-informed Sign Language Transformer with Content-aware Convolution
A Dynamic Distributed Scheduler for Computing on the Edge
Improving Cascaded Unsupervised Speech Translation with Denoising Back-translation
OntoEnricher: A Deep Learning Approach for Ontology Enrichment from Unstructured Text
Analyzing Variations in Dependency Distributions Due to Code Smell Interactions
Participatory Design of AI with Children: Reflections on IDC Design Challenge
Approximate Last Iterate Convergence in Overparameterized GANs
Robust Model Predictive Control for Constrained Uncertain Systems Based on Concentric Container and Varying Tube
A Probabilistic Extension of Action Language BC+
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
A statistical approach for finding property-access errors
A Framework for Formal Specification and Verification of Security Properties of the Android Permissions System
Robust Reinforcement Learning over Wireless Networks with Homomorphic State Representations
From Toxicity to Conformity: Adaptive user behavior to social norms in Telegram communities
Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization
Nature-Inspired Interconnects for Self-Assembled Large-Scale Network-on-Chip Designs
Neural Architecture Search for Deep Image Prior
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations
Improving the Accuracy Of MEPDG Climate Modeling Using Radial Basis Function
OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education
OppLoD: the Opponency based Looming Detector, Model Extension of Looming Sensitivity from LGMD to LPLC2
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English
MMM: Clustering Multivariate Longitudinal Mixed-type Data
A sparse spectral method for Volterra integral equations using orthogonal polynomials on the triangle
Online Advertising is a Regrettable Necessity: On the Dangers of Pay-Walling the Web
Web-based Interactive Narratives to Present Business Processes Models
Multi-Subspace Neural Network for Image Recognition
Softmax as a Lagrangian-Legendrian Seam
Gradients and Subgradients of Buffered Failure Probability
A Novel Unified Framework for Solving Reachability, Viability and Invariance Problems
Estimating Subgraph Frequencies with or without Attributes from Egocentrically Sampled Data
Model-Driven Engineering for Formal Verification and Security Testing of Authentication Protocols
RIS-Enabled Transmitter Design for Joint Radar and Communication
Low Data Drug Discovery with One-shot Learning
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
Optimizing Latency and Reliability of Pipeline Workflow Applications
Noise-to-Notes: Diffusion-based Generation and Refinement for Automatic Drum Transcription
GRANDE: Gradient-Based Decision Tree Ensembles
EONSim: An NPU Simulator for On-Chip Memory and Embedding Vector Operations
Speech Analysis for Automatic Mania Assessment in Bipolar Disorder
VoluMe - Authentic 3D Video Calls from Live Gaussian Splat Prediction
Test-Time Training Scaling for Chemical Exploration in Drug Design
Efficient exploration of zero-sum stochastic games
Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks
Asymmetric Momentum: A Rethinking of Gradient Descent
Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning
Autonomous Driving in Adverse Weather Conditions: A Survey
Augmenting Scientific Creativity with Retrieval across Knowledge Domains
Chaining Identity Mapping Modules for Image Denoising
MMDrive: Interactive Scene Understanding Beyond Vision with Multi-representational Fusion
Tuning of Mixture-of-Experts Mixed-Precision Neural Networks
Doubly Robust Alignment for Large Language Models
A Convex Polynomial Force-Motion Model for Planar Sliding: Identification and Application
Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study
MapKD: Unlocking Prior Knowledge with Cross-Modal Distillation for Efficient Online HD Map Construction
Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?
Understanding Diversity based Pruning of Neural Networks - Statistical Mechanical Analysis
RDNA Balance: Load Balancing by Isolation of Elephant Flows using Strict Source Routing
Interdependent Gibbs Samplers
A Survey on LLM-Based Agents: Common Workflows and Reusable LLM-Profiled Components
ChatUniTest: a ChatGPT-based automated unit test generation tool
The Log-Concave Maximum Likelihood Estimator is Optimal in High Dimensions
(Almost) Perfect Discrete Iterative Load Balancing
SafeVchat: Detecting Obscene Content and Misbehaving Users in Online Video Chat Services
A Concept and Argumentation based Interpretable Model in High Risk Domains
Generalizing the Role of Determinization in Probabilistic Planning
Self-dual cyclic codes over M 2 (ℤ 4 )
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy
Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Enhancing SCF with Privacy-Preserving and Splitting-Enabled E-Bills on Blockchain
Universal language model with the intervention of quantum theory
Can AI Perceive Physical Danger and Intervene?
Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation
A Transition-based Algorithm for Unrestricted AMR Parsing
VIPE: A new interactive classification framework for large sets of short texts - application to opinion mining
MultiView Independent Component Analysis with Delays
Fluid-structure interaction modeling of blood flow in the pulmonary arteries using the unified continuum and variational multiscale formulation
Tracking the Frequency Moments at All Times
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST
Multilevel Path Branching for Digital Options
Intent-Aware DRL-Based Uplink Dynamic Scheduler for 5G-NR
An Accurate Hybrid Delay Model for Multi-Input Gates
Data Uniformity Improves Training Efficiency and More, with a Convergence Framework Beyond the NTK Regime
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning
Evaluating Quality of Chatbots and Intelligent Conversational Agents
Event-triggered Online Proactive Network Association to Mobile Edge Computing for IoT
Universal Proof Theory: Semi-analytic Rules and Craig Interpolation
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification
Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching
AIris: An AI-powered Wearable Assistive Device for the Visually Impaired
Improving Knowledge Extraction from LLMs for Robotic Task Learning through Agent Analysis
MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological Fusion
A novel channel pruning method for deep neural network compression
DriftRec: Adapting diffusion models to blind image restoration tasks
Investigating Ortega Hypothesis in Q&A portals: An Analysis of StackOverflow
Enhancing Human Aspect of Software Engineering using Bayesian Classifier
Packet Error Rate Analysis of Uncoded Schemes in Block-Fading Channels using Extreme Value Theory
ARKref: a rule-based coreference resolution system
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
Virtual failure assessment diagrams for hydrogen transmission pipelines
I/O-optimal algorithms on grid graphs
Strategic Analysis to defend against Griefing Attack in Lightning Network
Iterative resource allocation based on propagation feature of node for identifying the influential nodes
PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups
Assessing Routing Algorithms for PCNs: Full Evaluation Results
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
Symmetry Breaking and Equivariant Neural Networks
Data Generation without Function Estimation
Bridging the Semantic Gap in Virtual Machine Introspection and Forensic Memory Analysis
Threshold Effects in Parameter Estimation from Compressed Data
Visual Storytelling via Predicting Anchor Word Embeddings in the Stories
Error Estimates of a Fully Discrete Multiphysics Finite Element Method for a Nonlinear Poroelasticity Model
Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
Leveraging Simultaneous Usage of Edge GPU Hardware Engines for Video Face Detection and Recognition
Efficient High-Speed WPA2 Brute Force Attacks using Scalable Low-Cost FPGA Clustering [Extended Version]
Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation
Audio to score matching by combining phonetic and duration information
Large-scale moral machine experiment on large language models
On Interactive Explanations as Non-Monotonic Reasoning
Model Predictive Planning: Towards Real-Time Multi-Trajectory Planning Around Obstacles
Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
A Micro-Scale Mobile-Enabled Implantable Medical Sensor
A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Models
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Evaluating LLM-Based Mobile App Recommendations: An Empirical Study
Biases in Data Science Lifecycle
A 2D based Partition Strategy for Solving Ranking under Team Context (RTP)
Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text
Reduced-order modeling of unsteady fluid flow using neural network ensembles
Smartphone and the changing practices of face-to-face interaction
On Counteracting Byzantine Attacks in Network Coded Peer-to-Peer Networks
Prefix-Projection Global Constraint for Sequential Pattern Mining
Gray-box Adversarial Training
Clustering Human Trust Dynamics for Customized Real-time Prediction
Efficient parameter-robust preconditioners for linear poroelasticity and elasticity in the primal formulation
Abstract Voronoi-like Graphs: Extending Delaunay's Theorem and Applications
Algorithmic statistics: normal objects and universal models
Probabilistic Dynamic Hard Real-Time Scheduling in HPC
Dimensionality increase for error correction in the interaction between information space and the physical world
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization
MoE-PHDS: One MoE checkpoint for flexible runtime sparsity
Distributed Multi-Step Power Scheduling and Cost Allocation for Cooperative Microgrids
A Formal Rebuttal of "The Blockchain Trilemma: A Formal Proof of the Inherent Trade-Offs Among Decentralization, Security, and Scalability"
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation
Beyond Master and Apprentice: Grounding Foundation Models for Symbiotic Interactive Learning in a Shared Latent Space
A Soft-Switching Single-Stage AC-DC Converter
A Performance and Resource Consumption Assessment of Secure Multiparty Computation
On backward problem for a time-fractional fourth order parabolic equation
Observational equivalences for linear logic CC languages
Remote Estimation of the Wiener Process over a Channel with Random Delay
The Design Space of in-IDE Human-AI Experience