yusuke1997/dblp-id-title huggingface dataset:
A Large Family of Multi-path Dual Congestion Control Algorithms
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
Adaptive Sketch-and-Project Methods for Solving Linear Systems
Omniwise: Predicting GPU Kernels Performance with LLMs
M-DAIGT: A Shared Task on Multi-Domain Detection of AI-Generated Text
Robust Numerical Methods for Singularly Perturbed Differential Equations-Supplements
FABRIC: Automated Scoring and Feedback Generation for Essays
SalNet360: Saliency Maps for omni-directional images with CNN
Maximal Achievable Service Rates of Codes and Connections to Combinatorial Designs
3D Human-Human Interaction Anomaly Detection
Disease Classification within Dermascopic Images Using features extracted by ResNet50 and classification through Deep Forest
Bug Priority Change Prediction: An Exploratory Study on Apache Software
Algorithmic methods of finite discrete structures. Automorphism of Nonseparable Graphs
"Eppur si muove", Software Libero e Ricerca Riproducibile
Cloud based VANET Simulator (CVANETSIM)
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach
Quadratic and symmetric bilinear forms over finite fields and their association schemes
SAI-BA-IoMT: Secure AI-Based Blockchain-Assisted Internet of Medical Things Tool to Moderate the Outbreak of COVID-19 Crisis
WESE: Weak Exploration to Strong Exploitation for LLM Agents
A convergent structure-preserving finite-volume scheme for the Shigesada-Kawasaki-Teramoto population system
Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning
Distortion-aware Monocular Depth Estimation for Omnidirectional Images
Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement Prediction
Free-riders in Federated Learning: Attacks and Defenses
Non-aligned drawings of planar graphs
Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example
Wireless Computing and IT Ecosystems
Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints
Bandwidth Aggregation Techniques in Heterogeneous Multi-homed Devices: A Survey
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model
Spatio-Temporal SwinMAE: A Swin Transformer based Multiscale Representation Learner for Temporal Satellite Imagery
Bounds for traces of Hecke operators and applications to modular and elliptic curves over a finite field
Deep Learning Driven Visual Path Prediction from a Single Image
PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning
"Calibeating": Beating Forecasters at Their Own Game
Accelerating Seed Location Filtering in DNA Read Mapping Using a Commercial Compute-in-SRAM Architecture
Hybrid NeRF-Stereo Vision: Pioneering Depth Estimation and 3D Reconstruction in Endoscopy
Dual-Process Scaffold Reasoning for Enhancing LLM Code Debugging
Quasi-Polish Spaces
Word Boundary Information Isn't Useful for Encoder Language Models
GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasks
Phoneme-level speech and natural language intergration for agglutinative languages
POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration
Assessing Language Models' Worldview for Fiction Generation
Denial-of-Service Attacks on C-V2X Networks
Variational-Based Non-linear Bayesian Filtering with Observations Subjected to Gross Errors
Graph Based Semi-supervised Learning Using Spatial Segregation Theory
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples
Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution
Defining Interoperability: a universal standard
Breaking Single-Tester Limits: Multi-Agent LLMs for Multi-User Feature Testing
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants
Non-isothermal non-Newtonian fluids: the stationary case
A multi-functional simulation platform for on-demand ride service operations
Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection
Feature Selection via the Intervened Interpolative Decomposition and its Application in Diversifying Quantitative Strategies
BiRating - Iterative averaging on a bipartite graph of Beat Saber scores, player skills, and map difficulties
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
Text Annotation Handbook: A Practical Guide for Machine Learning Projects
Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks
LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space
Graceful Degradation of Air Traffic Operations
ALPRS - A New Approach for License Plate Recognition using the Sift Algorithm
Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings
Efficient Random Sampling - Parallel, Vectorized, Cache-Efficient, and Online
Nearly Minimal Over-Parametrization of Shallow Neural Networks
EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty
A general method for estimating zonal transmission interface limits from nodal network data
Privately Information Sharing with Delusive Paths for Data Forwarding in Vehicular Networks
LongFly: Long-Horizon UAV Vision-and-Language Navigation with Spatiotemporal Context Integration
Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification
Towards Developing and Analysing Metric-Based Software Defect Severity Prediction Model
Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter- and Intra-body Graphs
Custom Code Generation for a Graph DSL
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset
Hardness and approximation of the Probabilistic p-Center problem under Pressure
A Network-Assisted Approach for Ransomware Detection
Causal Understanding by LLMs: The Role of Uncertainty
Revisiting the acceleration phenomenon via high-resolution differential equations
Multi-Agent DRL for Multi-Objective Twin Migration Routing with Workload Prediction in 6G-enabled IoV
A Two-staged Adaptive Successive Cancellation List Decoding for Polar Codes
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution
AMiD: Knowledge Distillation for LLMs with α-mixture Assistant Distribution
Measuring Unintended Memorisation of Unique Private Features in Neural Networks
Robustness to Incorrect System Models and Application to Data-Driven Learning in Stochastic Control
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
Synchronizing Geospatial Information for Personalized Health Monitoring
Clustering and Latent Semantic Indexing Aspects of the Nonnegative Matrix Factorization
Are LLMs Ready for English Standardized Tests? A Benchmarking and Elicitation Perspective
Perpetual Motion: Generating Unbounded Human Motion
Learning Memory-guided Normality for Anomaly Detection
Sparse Pose Trajectory Completion
A Comprehensive Analysis of Twitter Trending Topics
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review
ProcDSL + ProcEd - a Web-based Editing Solution for Domain Specific Process-Engineering
Proof of two Maurer's conjectures on basis graphs of matroids
Detecting harassment and defamation in cyberbullying with emotion-adaptive training
LP Decoding meets LP Decoding: A Connection between Channel Coding and Compressed Sensing
RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors
Model order reduction for seismic applications
Vulnerability Detection in Popular Programming Languages with Language Models
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings
RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video
ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
Efficient Model Compression for Hierarchical Federated Learning
Shared data granularity: A latent dimension of privacy scoring over online social networks
Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
Design and Experimental Validation of Closed-Form CBF-Based Safe Control for Stewart Platform Under Multiple Constraints
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
Injective hulls of various graph classes
Rethinking generative image pretraining: How far are we from scaling up next-pixel prediction?
DualLaguerreNet: A Decoupled Spectral Filter GNN and the Uncovering of the Flexibility-Stability Trade-off
Extreme-Long-short Term Memory for Time-series Prediction
Uncertainty Quantification for Multi-fidelity Simulations
A Heterogeneous Multiscale Method for Power System Simulation Considering Electromagnetic Transients
A General Framework to Derive Linear, Decoupled and Energy-stable Schemes for Reversible-Irreversible Thermodynamically Consistent Models: Part I Incompressible Hydrodynamic Models
TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks
Three-Level Parallel J-Jacobi Algorithms for Hermitian Matrices
Deep F-measure Maximization for End-to-End Speech Understanding
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks
Automating the Discovery of Partial Differential Equations in Dynamical Systems
Syntax and Typing for Cedille Core
A Unified Framework for Analyzing Closed Queueing Networks in Bike Sharing Systems
Progressive Simplification of Polygonal Curves
On Distinguishability of Anomalies as Physical Faults or Actuation Cyberattacks
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios
The Affects of Different Queuing Algorithms within the Router on QoS VoIP application Using OPNET
A Resilience-Oriented Centralised-to-Decentralised Framework for Networked Microgrids Management
Query Circuits: Explaining How Language Models Answer User Prompts
360 Panorama Cloning on Sphere
Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
PSA: Private Set Alignment for Secure and Collaborative Analytics on Large-Scale Data
Accurate Kernel Learning for Linear Gaussian Markov Processes using a Scalable Likelihood Computation
NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation
Labeled Interactive Topic Models
When Does Multi-Task Learning Fail? Quantifying Data Imbalance and Task Independence in Metal Alloy Property Prediction
Polar Codes for Broadcast Channels with Receiver Message Side Information and Noncausal State Available at the Encoder
Revisiting Convolutional Neural Networks for Urban Flow Analytics
Querying Kernel Methods Suffices for Reconstructing their Training Data
Time-Optimal Path Tracking for Cooperative Manipulators: A Convex Optimization Approach
Wasserstein total variation filtering
Leveraging Unknown Structure in Quantum Query Algorithms
Determination of the Interface between Amorphous Insulator and Crystalline 4H-SiC in Transmission Electron Microscope Image by using Convolutional Neural Network
InfiniViz: Interactive Visual Exploration using Progressive Bin Refinement
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis
Computational Experiments: Past, Present and Future
Physics-informed Neural Networks for Encoding Dynamics in Real Physical Systems
Generalising sequence models for epigenome predictions with tissue and assay embeddings
Simulating Vision Impairment in Virtual Reality - A Comparison of Visual Task Performance with Real and Simulated Tunnel Vision
Three approaches to supervised learning for compositional data with pairwise logratios
Deep Semantic Inference over the Air: An Efficient Task-Oriented Communication System
An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts
Statistical Formulas for F Measures
Ordinal Embedding Relaxations Parameterized Above Tight Lower Bound
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation
Screening Rules for Convex Problems
Compositional Conformance Checking of Nested Petri Nets and Event Logs of Multi-Agent Systems
A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
Learning to Reason at the Frontier of Learnability
SSE Lossless Compression Method for the Text of the Insignificance of the Lines Order
Visualizing structural balance in signed networks
Orientation Learning and Adaptation towards Simultaneous Incorporation of Multiple Local Constraints
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks
Reducing Parameter Space for Neural Network Training
Ray-based inversion accounting for scattering for biomedical ultrasound computed tomography
Accelerated Alternating Minimization for X-ray Tomographic Reconstruction
The 2017 ISO New England System Operational Analysis and Renewable Energy Integration Study (SOARES)
Tracking the 𝓁 2 Norm with Constant Update Time
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation
Generalized Regressive Motion: a Visual Cue to Collision
An Analysis of Gene Expression Data using Penalized Fuzzy C-Means Approach
Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence
Transformers and Slot Encoding for Sample Efficient Physical World Modelling
Beyond Detection: A Comprehensive Benchmark and Study on Representation Learning for Fine-Grained Webshell Family Classification
Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier - A Review
Good characterization for path packing in a subclass of Karzanov networks
Prompt the Unseen: Evaluating Visual-Language Alignment Beyond Supervision
Massive Wireless Energy Transfer with Multiple Power Beacons for very large Internet of Things
Complexity of Abduction in Łukasiewicz Logic
Hardware Accelerators for Autonomous Cars: A Review
An Online Delay Efficient Packet Scheduler for M2M Traffic in Industrial Automation
Scientific Exploration of Challenging Planetary Analog Environments with a Team of Legged Robots
A Uniformly Random Solution to Algorithmic Redistricting
Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review
Ascent Fails to Forget
A Simple Multi-Processor Computer Based on Subleq
Improving Protein Sequence Design through Designability Preference Optimization
Automated Fix Detection Given Flaky Tests
Proceedings Third Workshop on Membrane Computing and Biologically Inspired Process Calculi, MeCBIC 2009, Bologna, Italy, 5th September 2009
Multi label classification of Artificial Intelligence related patents using Modified D2SBERT and Sentence Attention mechanism
Task Arithmetic for Language Expansion in Speech Translation
Autoencoder-based Attribute Noise Handling Method for Medical Data
Accelerated Relaxation Engines for Optimizing to Minimum Energy Path
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising
Evaluation of Deep Segmentation Models for the Extraction of Retinal Lesions from Multi-modal Retinal Images
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey
An Optimization-enhanced MANO for Energy-efficient 5G Networks
Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies
A New Training Algorithm for Kanerva's Sparse Distributed Memory
Query Training: Learning and inference for directed and undirected graphical models
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models
Interactive Recommendations for Optimal Allocations in Markets with Constraints
Tropical cyclone intensity estimations over the Indian ocean using Machine Learning
Robustness of graph embedding methods for community detection
Faster Min-Cost Flow on Bounded Treewidth Graphs
TabPFN: One Model to Rule Them All?
Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
Direct assessment of individual connotation and experience: An introduction to cognitive-affective mapping
Eliminating Boundaries in Cloud Storage with Anna
Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing
SE3M: A Model for Software Effort Estimation Using Pre-trained Embedding Models
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting
Node-weighted interacting network measures improve the representation of real-world complex systems
A Biologically Inspired Classifier
A Measure Based Generalizable Approach to Understandability
Benchmarking Machine Learning Models to Predict Corporate Bankruptcy
Features characterizing safe aerial-aquatic robots
Sapiens Chain: A Blockchain-based Cybersecurity Framework
A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations
Piecewise-constant Neural ODEs
Tensor Laplacian Regularized Low-Rank Representation for Non-uniformly Distributed Data Subspace Clustering
A Systematic Review of Federated Generative Models
An Overview of Distance and Similarity Functions for Structured Data
Proving Correctness of Concurrent Objects by Validating Linearization Points
Generating One-Anaphoric Expressions: Where Does the Decision Lie?
O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
Asynchronous ADMM for Distributed Non-Convex Optimization in Power Systems
Emotional Speech Recognition with Pre-trained Deep Visual Models
A Simple and Fast Linear-Time Algorithm for Proportional Apportionment
Dimensional Pricing Based on Dynamism of Load
Zero-sum risk-sensitive continuous-time stochastic games with unbounded payoff and transition rates and Borel spaces
Rethinking the Relationship between the Power Law and Hierarchical Structures
Preferential attachment in growing spatial networks
Clean & Clear: Feasibility of Safe LLM Clinical Guidance
Modular Stochastic Rewritable Petri Nets
FastWARC: Optimizing Large-Scale Web Archive Analytics
The Condition of the Turking Class: Are Online Employers Fair and Honest?
Enabling Site-Specific Cellular Network Simulation Through Ray-Tracing-Driven ns-3
Quantization optimized with respect to the Haar basis
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content
Entropy-based Classification of 'Retweeting' Activity on Twitter
Semi-supervised Data Representation via Affinity Graph Learning
PC Agent: While You Sleep, AI Works - A Cognitive Journey into Digital World
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
On the Exponentially Weighted Aggregate with the Laplace Prior
An improved lion strategy for the lion and man problem
Learning Audio Sequence Representations for Acoustic Event Classification
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario
A Quantitative Method to Determine What Collisions Are Reasonably Foreseeable and Preventable
Multitasking Programming of OBDH Satellite Based On PC-104
FPGA-Based Material Testing Machine Controller
Multi-Cue Adaptive Emotion Recognition Network
Curvature corrected tangent space-based approximation of manifold-valued data
Improved Approximation Algorithms for (1,2)-TSP and Max-TSP Using Path Covers in the Semi-Streaming Model
Inverse Resource Rational Based Stochastic Driver Behavior Model
An Infinite Dimensional Model for A Single Server Priority Queue
Hackers vs. Security: Attack-Defence Trees as Asynchronous Multi-Agent Systems
Trustworthy Self-Attention: Enabling the Network to Focus Only on the Most Relevant References
Nonparametric Stochastic Analysis of Dynamic Frequency in Power Systems: A Generalized Ito Process Model
Restricted Linearized Augmented Lagrangian Method for Euler's Elastica Model
Novel Binary-Addition Tree Algorithm (BAT) for Binary-State Network Reliability Problem
The bright side of simple heuristics for the TSP
Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks
Parsimonious Data: How a single Facebook like predicts voting behaviour in multiparty systems
Coordinating Complementary Waveforms for Suppressing Range Sidelobes in a Doppler Band
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition
No imputation without representation
Advanced Penetration Testing for Enhancing 5G Security
Multi-Label Segmentation via Residual-Driven Adaptive Regularization
Sensing, Communication, and Control Co-design for Energy Efficient Satellite-UAV Networks
Comparing Background Subtraction Algorithms and Method of Car Counting
Data linkage dynamics with shedding
Loco-Manipulation Planning for Legged Robots: Offline and Online Strategies
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Density estimation: an inflation-deflation approach
Application of Natural Language Processing to Determine User Satisfaction in Public Services
Convergence in Infinitary Term Graph Rewriting Systems is Simple (Extended Abstract)
An approach to first principles electronic structure calculation by symbolic-numeric computation
On Decidability of Expressive Description Logics with Composition of Roles in Number Restrictions
KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control
iGateLink: A Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments
Spiking Music: Audio Compression with Event Based Auto-encoders
SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation
Revisiting Exploration-Conscious Reinforcement Learning
Fine-grained Controllable Text Generation through In-context Learning with Feedback
Knowledge-Aided Open-Domain Question Answering
Word Importance Explains How Prompts Affect Language Model Outputs
A two-pass fuzzy-geno approach to pattern classification
The Future of MEV
First-order Optimization for Superquantile-based Supervised Learning
The Very Idea of Dynamic Semantics
Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts
Rigid Point Registration with Expectation Conditional Maximization