yusuke1997/dblp-id-title huggingface dataset:
A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
Experimental Augmented Reality User Experience
KN-LIO: Geometric Kinematics and Neural Field Coupled LiDAR-Inertial Odometry
Meta-modeling strategy for data-driven forecasting
Vaccination strategies against COVID-19 and the diffusion of anti-vaccination views
Grid-Aware On-Route Fast-Charging Infrastructure Planning for Battery Electric Bus with Equity Considerations: A Case Study in South King County
A New Scaling Law on Throughput and Delay Performance of Wireless Mobile Relay Networks over Parallel Fading Channels
Dynamic Approximate Maximum Matching in the Distributed Vertex Partition Model
Link Prediction in Complex Networks: A Clustering Perspective
Likelihood approximations via Gaussian approximate inference
Long-Tailed Learning for Generalized Category Discovery
Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting
A Deep Investigation of Deep IR Models
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey
Chinese Sentences Similarity via Cross-Attention Based Siamese Network
Persona is a Double-edged Sword: Enhancing the Zero-shot Reasoning by Ensembling the Role-playing and Neutral Prompts
A Quasi-Sure Approach to the Control of Non-Markovian Stochastic Differential Equations
Schema Extraction on Semi-structured Data
Learning and Improving Backgammon Strategy
Hard Regularization to Prevent Collapse in Online Deep Clustering without Data Augmentation
Eigenvalue bounds and alternating rank-metric codes
Imperative Functional Programs that Explain their Work
Detecting cyber threats through social network analysis: short survey
An Energy Management System Approach for Power System Cyber-Physical Resilience
SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space Models
An Accountable Anonymous Data Aggregation Scheme for Internet of Things
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning
VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance
An Efficient Formula Synthesis Method with Past Signal Temporal Logic
Imaging at the quantum limit with convolutional neural networks
Ambient Hidden Space of Generative Adversarial Networks
Creating Capsule Wardrobes from Fashion Images
Switching divergences for spectral learning in blind speech dereverberation
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition
An existing, ecologically-successful genus of collectively intelligent artificial creatures
Training-free Style Transfer Emerges from h-space in Diffusion models
The AI Imperative: Scaling High-Quality Peer Review in Machine Learning
URNet : User-Resizable Residual Networks with Conditional Gating Module
Entropy-Based Block Pruning for Efficient Large Language Models
StructNeRF: Neural Radiance Fields for Indoor Scenes with Structural Hints
Design of Linear Passive Mixer-First Receivers for mmWave Digital Beamforming Arrays
Sublinear but Never Superlinear Preferential Attachment by Local Network Growth
Effect of payload size on mean response time when message segmentations occur using M X /G/1 queueing model
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)
Cell Balancing Paradigms: Advanced Types, Algorithms, and Optimization Frameworks
Price of Uncertainty for Consensus Games
An Alternating Direction Method of Multipliers for Topology Optimization
Curriculum Learning for ab initio Deep Learned Refractive Optics
A Proposal of Interactive Growing Hierarchical SOM
A simple predictor-corrector scheme without order reduction for advection-diffusion-reaction problems
An Application of Joint Spectral Radius in Power Control Problem for Wireless Communications
White paper on Selected Environmental Parameters affecting Autonomous Vehicle (AV) Sensors
YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision
Lingxi: Repository-Level Issue Resolution Framework Enhanced by Procedural Knowledge Guided Scaling
Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards
Redrawing the Boundaries on Purchasing Data from Privacy-Sensitive Individuals
Multiple Random Oracles Are Better Than One
Divergence-free cut finite element methods for Stokes flow
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization
Characterization of Permanent Magnet Synchronous Machines based on semi-analytic model reduction for drive cycle analysis
The USTC-NERCSLIP Systems for The ICMC-ASR Challenge
Deterministic Fokker-Planck Transport - With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo
Qorgau: Evaluating LLM Safety in Kazakh-Russian Bilingual Contexts
New tight approximations for Fisher's exact test
Evaluating NoSQL Databases for OLAP Workloads: A Benchmarking Study of MongoDB, Redis, Kudu and ArangoDB
Bayesian Learning of Coupled Biogeochemical-Physical Models
The Upper Bound for the Lebesgue Constant for Lagrange Interpolation in Equally Spaced Points of the Triangle
ABC-Eval: Benchmarking Large Language Models on Symbolic Music Understanding and Instruction Following
Visualizing the Consequences of Evidence in Bayesian Networks
Stellar parameter prediction and spectral simulation using machine learning
On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks
XLB: Distributed Multi-GPU Lattice Boltzmann Simulation Framework for Differentiable Scientific Machine Learning
Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models
Infrared Spectra Prediction for Diazo Groups Utilizing a Machine Learning Approach with Structural Attention Mechanism
Lower bounds for sizes of semidefinite formulations for some combinatorial optimization problems
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
SemanticSplat: Feed-Forward 3D Scene Understanding with Language-Aware Gaussian Fields
Detection of pulmonary pathologies using convolutional neural networks, Data Augmentation, ResNet50 and Vision Transformers
LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric Function
Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
Longitudinal Study of the Prevalence of Malware Evasive Techniques
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
Fisher Market Model based Resource Allocation for 5G Network Slicing
Attribution for Enhanced Explanation with Transferable Adversarial eXploration
Deterministic Gibbs Sampling via Ordinary Differential Equations
Placement Laundering and the Complexities of Attribution in Online Advertising
Teaching Quantum Computing through Lab-Integrated Learning: Bridging Conceptual and Computational Understanding
Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data
CONGRA: Benchmarking Automatic Conflict Resolution
CXL Topology-Aware and Expander-Driven Prefetching: Unlocking SSD Performance
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors
Normalization effects on shallow neural networks and related asymptotic expansions
Preprocessing Reward Functions for Interpretability
A Fully Polynomial Parameterized Algorithm for Counting the Number of Reachable Vertices in a Digraph
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data
A Critique of Deng's "P=NP"
Indexability of Finite State Restless Multi-Armed Bandit and Rollout Policy
Visual Detection of Diver Attentiveness for Underwater Human-Robot Interaction
Exclusion and Guard Zones in DC-CDMA Ad Hoc Networks
Residual Bias Compensation Filter for Physics-Based SOC Estimation in Lithium Iron Phosphate Batteries
Physics-Informed Polynomial Chaos Expansions
Modeling micro-macro pedestrian counterflow in heterogeneous domains
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression
Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases
Deep Neural Networks Predicting Oil Movement in a Development Unit
Secrecy Outage Probability: Revisited
Post-disaster Max-Min Rate Optimization for Multi-UAV RSMA Network in Obstacle Environments
ADMM Training Algorithms for Residual Networks: Convergence, Complexity and Parallel Training
An Artificial Neuron for Enhanced Problem Solving in Large Language Models
Plan Explainability and Predictability for Cobots
Few-shot learning approaches for classifying low resource domain specific software requirements
Synchronic Web Digital Identity: Speculations on the Art of the Possible
Model-based learning of local image features for unsupervised texture segmentation
P1 Error: A Combination of Absolute and Relative Errors
Optimal Haplotype Assembly from High-Throughput Mate-Pair Reads
A Holistic View on Data Protection for Sharing, Communicating, and Computing Environments: Taxonomy and Future Directions
Grid-Free Monte Carlo for PDEs with Spatially Varying Coefficients
A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
Auto-Detection of Safety Issues in Baby Products
An Area-Efficient FPGA Overlay using DSP Block based Time-multiplexed Functional Units
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
Quantum Sampling and Moment Estimation for Transformed Gaussian Random Fields
Port-Hamiltonian Neural Networks with State Dependent Ports
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation
Transmission Strategies in Multiple Access Fading Channels with Statistical QoS Constraints
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors
New digital signature protocol based on elliptic curves
Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes
Analysis and Enhancement of Lossless Image Compression in JPEG-XL
Resources and Evaluations for Multi-Distribution Dense Information Retrieval
ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse views
Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy
Improved Text Classification via Test-Time Augmentation
Comparison for Improvements of Singing Voice Detection System Based on Vocal Separation
KhabarChin: Automatic Detection of Important News in the Persian Language
Stegobot: construction of an unobservable communication network leveraging social behavior
Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise
A Code Injection Method for Rapid Docker Image Building
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments
Exponential Convergence Rate for the Asymptotic Optimality of Whittle Index Policy
Porting HPC Applications to AMD InstinctTM MI300A Using Unified Memory and OpenMP
A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression
FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific Article
Third time is the charm - Why the World just might be ready for the Internet of Things this time around
Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Deep chroma compression of tone-mapped images
Linear attention is (maybe) all you need (to understand transformer optimization)
Online Collaborative Resource Allocation and Task Offloading for Multi-access Edge Computing
Efficient Training of Deep Neural Operator Networks via Randomized Sampling
Solving Inequality Proofs with Large Language Models
Programming Language Case Studies Can Be Deep
Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic Surgery
Ground Profile Recovery from Aerial 3D LiDAR-based Maps
Multi-modal Multi-platform Person Re-Identification: Benchmark and Method
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning
A Nonlinear Model Predictive Control Scheme for Cooperative Manipulation with Singularity and Collision Avoidance
P1GPT: a multi-agent LLM workflow module for multi-modal financial information analysis
A Comprehensive Survey on Data-Efficient GANs in Image Generation
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria
MIXER: Mixed Hyperspherical Random Embedding Neural Network for Texture Recognition
Fast Left Kan Extensions Using The Chase
Component Specification in the Cactus Framework: The Cactus Configuration Language
Towards Simple and Provable Parameter-Free Adaptive Gradient Methods
An Improvement on LSB Matching and LSB Matching Revisited Steganography Methods
Low Complexity Time Synchronization for Zero-padding based Waveforms
Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations
Flooding Overcomes Small Covering Constraints
The Aw-Rascle traffic model: Enskog-type kinetic derivation and generalisations
Power Reduction of Automatic Heterogeneous Device Offloading
Click, Predict, Trust: Clinician-in-the-Loop AI Segmentation for Lung Cancer CT-Based Prognosis within the Knowledge-to-Action Framework
A Universal Knowledge Model and Cognitive Architecture for Prototyping AGI
The rise of the lottery heroes: why zero-shot pruning is hard
Multivariate Analyis of Swap Bribery
Low Rank Phase Retrieval
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s
Aggregation-Based Datacenter Energy Management in Wholesale Electricity Markets
The Recurrent Temporal Discriminative Restricted Boltzmann Machines
A Provably Robust Multiple Rotation Averaging Scheme for SO(2)
Learning Deep Optimal Embeddings with Sinkhorn Divergences
Uplink Resource Allocation for Multiple Access Computational Offloading
A control mechanism for intramural periarterial drainage via astrocytes: How neuronal activity could improve waste clearance from the brain
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
Stability and Distributed Power Control in MANETs with Outages and Retransmissions
Efficient Dataset Distillation via Diffusion-Driven Patch Selection for Improved Generalization
A Class of Random-Kernel Network Models
Correcting k Deletions and Insertions in Racetrack Memory
Augmented Embeddings for Custom Retrievals
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
A Multi-Layer Electronic and Cyber Interference Model for AI-Driven Cruise Missiles: The Case of Khuzestan Province
Supporting Developers in Addressing Human-centric Issues in Mobile Apps
The Economy of Internet-Based Hospitality Exchange
A quantitative notion of economic security for smart contract compositions
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Characterising Payload Entropy in Packet Flows
Computing Subset Feedback Vertex Set via Leafage
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution
Impact of IPv4-IPv6 Coexistence in Cloud Virtualization Environment
Relay-based identification of Aerodynamic and Delay Sensor Dynamics with applications for Unmanned Aerial Vehicles
Analysis of BDDC preconditioners for non-conforming polytopal hybrid discretisation methods
Is Alice Really in Wonderland? UWB-Based Proof of Location for UAVs with Hyperledger Fabric Blockchain
Cellular morphogenesis of three-dimensional tensegrity structures
Redefining Hybrid Blockchains: A Balanced Architecture
OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation
EMERS: Energy Meter for Recommender Systems
Toward a Behavioural Translation Style Space: Simulating the Temporal Dynamics of Affect, Behaviour, and Cognition in Human Translation Production
CETN: Contrast-enhanced Through Network for CTR Prediction
A new method for community detection in social networks based on message distribution
What AI can do for horse-racing ?
Causal policy ranking
Recurrent Neural Networks in the Eye of Differential Equations
Design of Parity Preserving Logic Based Fault Tolerant Reversible Arithmetic Logic Unit
Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning
Addressing Heterophily in Node Classification with Graph Echo State Networks
Domain-Specific Shorthand for Generation Based on Context-Free Grammar
XDC Network Assessment: Decentralization, Scalability and Security
Learning, Visualizing, and Exploiting a Model for the Intrinsic Value of a Batted Ball
Framework for Studying Stability of Switching Max-Plus Linear Systems
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives
Towards Real Scene Super-Resolution with Raw Images
Exploring the significance of using perceptually relevant image decolorization method for scene classification
Why Do Speech Language Models Fail to Generate Semantically Coherent Outputs? A Modality Evolving Perspective
Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
A brief history of AI: how to prevent another winter (a critical review)
Distributed Communication-aware Motion Planning for Multi-agent Systems from STL and SpaTeL Specifications
Optimal Joint Scheduling and Resource Allocation in OFDMA Downlink Systems with Imperfect Channel-State Information
Breaking the Statistical Similarity Trap in Extreme Convection Detection
TacFinRay: Soft Tactile Fin-Ray Finger with Indirect Tactile Sensing for Robust Grasping
Effect of Transducer Positioning in Active Noise Control
A Concept-Centered Hypertext Approach to Case-Based Retrieval
The State of AI Ethics Report (October 2020)
Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations
Spatio-Temporal Moving Object Proposals
Hardness of clique approximation for monotone circuits
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Formalized linear algebra over Elementary Divisor Rings in Coq
A dataset of questions on decision-theoretic reasoning in Newcomb-like problems
A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard
Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation
Large language models effectively leverage document-level context for literary translation, but critical errors persist
EG-GAN: Cross-Language Emotion Gain Synthesis based on Cycle-Consistent Adversarial Networks
An NMF solution for the Petri Nets to State Charts case study at the TTC 2013
Mixed Reality Serious Games: The Therapist Perspective
Software-Defined Multi-Cloud Computing: A Vision, Architectural Elements, and Future Directions
Algorithmic strategies for finding the best TSP 2-OPT move in average sub-quadratic time
Towards the Feasibility Analysis and Additive Manufacturing of a Novel Flexible Pedicle Screw for Spinal Fixation Procedures
Development of a Platform to Enable Real Time, Non-disruptive Testing and Early Fault Detection of Critical High Voltage Transformers and Switchgears in High Speed-rail
Routing Protocols for Quantum Networks: Overview and Challenges
New Confocal Hyperbola-based Ellipse Fitting with Applications to Estimating Parameters of Mechanical Pipes from Point Clouds
LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration
On the Complexity of Path Checking of Temporal Logics
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
MMaDA: Multimodal Large Diffusion Language Models
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks
Community Detection in Degree-Corrected Block Models
Cross-product Penalized Component Analysis (XCAN)
Comments on the proof of adaptive submodular function minimization
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence
Vehicle Re-identification Based on Dual Distance Center Loss
An Energy-Efficient MIMO Algorithm with Receive Power Constraint
Comprehensive Survey towards Security Authentication Methods for Satellite Communication Systems
Semantic similarity-based approach to enhance supervised classification learning accuracy
Training-Free Active Learning Framework in Materials Science with Large Language Models
Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales
Text Entry in Immersive Head-Mounted Display-based Virtual Reality using Standard Keyboards
Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination
Performance Analysis of Relay Selection Schemes in Multi-Hop Decode-and-Forward Networks
Improved Brain Age Estimation with Slice-based Set Networks
Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods
Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
Citation concept analysis (CCA) - A new form of citation analysis revealing the usefulness of concepts for other researchers illustrated by two exemplary case studies including classic books by Thomas S. Kuhn and Karl R. Popper
Point Cloud Registration Based on Consistency Evaluation of Rigid Transformation in Parameter Space
An XAI Approach to Deep Learning Models in the Detection of Ductal Carcinoma in Situ
The Capacity Region of Large Wireless Networks
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems
Locally optimal routes for route choice sets
Common Artifacts in Volume Rendering
Camera-aware Label Refinement for Unsupervised Person Re-identification
FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
Child PalmID: Contactless Palmprint Recognition
Point Cloud Resampling with Learnable Heat Diffusion
Expansion of situations theory for exploring shared awareness in human-intelligent autonomous systems
On the Equivalence Between High-Order Network-Influence Frameworks: General-Threshold, Hypergraph-Triggering, and Logic-Triggering Models
Blind Source Separation for Mixture of Sinusoids with Near-Linear Computational Complexity
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging
An Improved Unbiased Particle Filter
Efficient GANs for Document Image Binarization Based on DWT and Normalization
Decision Aids for Adversarial Planning in Military Operations: Algorithms, Tools, and Turing-test-like Experimental Validation
Personalised Pricing: The Demise of the Fixed Price?
Psi-calculi: a framework for mobile processes with nominal data and logic
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic