yusuke1997/dblp-id-title huggingface dataset:
Generating from the Strauss Process using stitching
Sparse identification of nonlinear dynamics in the presence of library and system uncertainty
Population-Based Reinforcement Learning for Combinatorial Optimization
Diverse 3D Human Pose Generation in Scenes based on Decoupled Structure
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
AMANet: Advancing SAR Ship Detection with Adaptive Multi-Hierarchical Attention Network
Make Optimization Once and for All with Fine-grained Guidance
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search
Learning linear dynamical systems under convex constraints
Polynomial-time algorithms for 2-edge-connected subgraphs on fundamental classes by top-down coloring
IETI-DP for conforming multi-patch Isogeometric Analysis in three dimensions
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation
MCQUIC: Multicast and unicast in a single transport protocol
MeSH descriptors indicate the knowledge growth in the SARS-CoV-2/COVID-19 pandemic
Reward Auditor: Inference on Reward Modeling Suitability in Real-World Perturbed Scenarios
Quality Assurance of A GPT-based Sentiment Analysis System: Adversarial Review Data Generation and Detection
Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images
Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science
A Matrix-Less Method to Approximate the Spectrum and the Spectral Function of Toeplitz Matrices with Complex Eigenvalues
Experimentation, deployment and monitoring Machine Learning models: Approaches for applying MLOps
A Laplacian Approach to 𝓁 1 -Norm Minimization
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models
Multivariate Trend Filtering for Lattice Data
A Meta-evaluation of Scientific Research Proposals: Different Ways of Comparing Rejected to Awarded Applications
Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review
Detecting Differential Expression from RNA-seq Data with Expression Measurement Uncertainty
Compressing Features for Learning with Noisy Labels
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
Finite Element Analysis of Shear Lag Effect in Long-Span Single-Box Continuous Rigid Bridges
PicTalky: Augmentative and Alternative Communication Software for Language Developmental Disabilities
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
A Dataset for Evaluating LLM-based Evaluation Functions for Research Question Extraction Task
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs
Guidesort: Simpler Optimal Deterministic Sorting for the Parallel Disk Model
MPI Advance : Open-Source Message Passing Optimizations
NeRN - Learning Neural Representations for Neural Networks
Confidence Estimation for LLM-Based Dialogue State Tracking
Factor-Graph-Based Passive Acoustic Navigation for Decentralized Cooperative Localization Using Bearing Elevation Depth Difference
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs
Crisis Analytics: Big Data Driven Crisis Response
Segmenting root systems in X-ray computed tomography images using level sets
Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks
Plantain: Plan-Answer Interleaved Reasoning
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
Efficient and Trustworthy Social Navigation Via Explicit and Implicit Robot-Human Communication
Directional Consistency for Continuous Numerical Constraints
Learning from Untrusted Data
Analysis of Emotion in Rumour Threads on Social Media
Auto-PICNN: Automated machine learning for physics-informed convolutional neural networks
Changes from Classical Statistics to Modern Statistics and Data Science
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
Progress Towards Untethered Autonomous Flight of Northeastern University Aerobat
Effective Shortcut Technique for GAN
Sparse Input View Synthesis: 3D Representations and Reliable Priors
APACHE: A Processing-Near-Memory Architecture for Multi-Scheme Fully Homomorphic Encryption
Dynamically configured physics-informed neural network in topology optimization applications
Data augmentation using diffusion models to enhance inverse Ising inference
Family Shopping Recommendation System Using User Profile and Behavior Data
Word Embeddings via Tensor Factorization
Reinforcement Learning for Legged Robots: Motion Imitation from Model-Based Optimal Control
RecurFormer: Not All Transformer Heads Need Self-Attention
LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism
Advancing Efficient Brain Tumor Multi-Class Classification - New Insights from the Vision Mamba Model in Transfer Learning
Learning from Failures in Multi-Attempt Reinforcement Learning
An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition
On the Design of Artificial Noise for Physical Layer Security in Visible Light Communication Channels with Clipping
Provably-Efficient Double Q-Learning
Polsat: A Portfolio LTL Satisfiability Solver
A Suffix Tree Approach to Email Filtering
A Comparative Study of Light-weight Language Models for PII Masking and their Deployment for Real Conversational Texts
Balanced Fibonacci word rectangles, and beyond
Destination-aided Wireless Power Transfer in Energy-limited Cognitive Relay Systems
Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function
A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Series
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations
A Language-theoretic View on Guidelines and Consistency Rules of UML
Detecting state of aggression in sentences using CNN
Which Similarity-Sensitive Entropy?
A Simple Yet Effective Improvement to the Bilateral Filter for Image Denoising
Learning control of quantum systems using frequency-domain optimization algorithms
EnronQA: Towards Personalized RAG over Private Documents
AIGC Empowering Telecom Sector White Paper_chinese
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs
A State-of-the-Art Review of Computational Models for Analyzing Longitudinal Wearable Sensor Data in Healthcare
Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
On-device edge learning for IoT data streams: a survey
A multimodel approach to building thermal simulation for design and research purposes
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
Molecular activity prediction using graph convolutional deep neural network considering distance on a molecular graph
OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics
Algebraformer: A Neural Approach to Linear Systems
Rhythmic Representations: Learning Periodic Patterns for Scalable Place Recognition at a Sub-Linear Storage Cost
Learning Probabilistic Programs Using Backpropagation
Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar
Slm-mux: Orchestrating small language models for reasoning
Computer vision application for improved product traceability in the granite manufacturing industry
GSDeformer: Direct Cage-based Deformation for 3D Gaussian Splatting
Achieving the Han-Kobayashi inner bound for the quantum interference channel by sequential decoding
Linear Time Algorithm for Tree t-spanner in Outerplanar Graphs via Supply-Demand Partition in Trees
SNOW: Spatio-Temporal Scene Understanding with World Knowledge for Open-World Embodied Reasoning
Efficient Mixed Dimension Embeddings for Matrix Factorization
Region-adaptive Texture Enhancement for Detailed Person Image Synthesis
Random local algorithms
Intent Disentanglement and Feature Self-supervision for Novel Recommendation
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution
Length-Bounded Paths Interdiction in Continuous Domain for Network Performance Assessment
Decorrelated Double Q-learning
A note on averaging prediction accuracy, Green's functions and other kernels
Deep Neural Review Text Interaction for Recommendation Systems
GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education
Towards modular verification of pathways: fairness and assumptions
Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation
Local convergence of the FEM for the integral fractional Laplacian
A Simple Packing Algorithm for Optimized Mapping of Artificial Neural Networks onto Non-Volatile Memory Cross-Bar Arrays
Characterizing Interconnections and Linguistic Patterns in Twitter
Semantic Caching for Improving Web Affordability
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms
Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants
Discrimination-Based Double Auction for Maximizing Social Welfare in the Electricity and Heating Market Considering Privacy Preservation
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model
Robust Mean Estimation Without a Mean: Dimension-Independent Error in Polynomial Time for Symmetric Distributions
CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization
A physics-based data-driven model for CO 2 gas diffusion electrodes to drive automated laboratories
A Decoupled LOB Representation Framework for Multilevel Manipulation Detection with Supervised Contrastive Learning
Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images
Federated Hypergraph Learning with Hyperedge Completion
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
Preordering: A hybrid of correlation clustering and partial ordering
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks
Raven: Mining Defensive Patterns in Ethereum via Semantic Transaction Revert Invariants Categories
Rapid Recovery for Systems with Scarce Faults
PartSLAM: Unsupervised Part-based Scene Modeling for Fast Succinct Map Matching
A Review of the EnKF for Parameter Estimation
Uncertainty Quantification and Experimental Design for large-scale linear Inverse Problems under Gaussian Process Priors
Bil-DOS: A Bi-lingual Dialogue Ordering System (for Subway)
Recurrent convolutional neural network for the surrogate modeling of subsurface flow simulation
CALYPSO: LLMs as Dungeon Masters' Assistants
Adaptive Damping and Mean Removal for the Generalized Approximate Message Passing Algorithm
Predicting Long Term Sequential Policy Value Using Softer Surrogates
Information model for model driven safety requirements management of complex systems
Chance-Constrained Covariance Steering in a Gaussian Random Field via Successive Convex Programming
Synthesising Multi-Modal Minority Samples for Tabular Data
Prospects for Improving Competition in Mobile Roaming
Fast approximate ℓ-center clustering in high dimensional spaces
AUV Optimal Path for Leak Detection
($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior
Estimating Sequence Similarity from Read Sets for Clustering Next-Generation Sequencing data
REFINE: Reachability-based Trajectory Design using Robust Feedback Linearization and Zonotopes
Improving alignment of dialogue agents via targeted human judgements
Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study
Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base
Automatic Document Image Binarization
RRO: LLM Agent Optimization Through Rising Reward Trajectories
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation
State-Space Identification of Unmanned Helicopter Dynamics using Invasive Weed Optimization Algorithm on Flight Data
XAgents: A Unified Framework for Multi-Agent Cooperation via IF-THEN Rules and Multipolar Task Processing Graph
Lower bounds on the chromatic number of random graphs
Unsupervised Learning of Graph from Recipes
Optimizing Recurrent Neural Networks Architectures under Time Constraints
Massive MIMO for Communications with Drone Swarms
Convergence of the EBT method for a non-local model of cell proliferation with discontinuous interaction kernel
Spectral Efficiency Analysis for Spatial Modulation in Massive MIMO Uplink over Dispersive Channels
The Evaluation of Open Source Software Innovativeness
Training convolutional neural networks with cheap convolutions and online distillation
Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing
PoreTrack3D: A Benchmark for Dynamic 3D Gaussian Splatting in Pore-Scale Facial Trajectory Tracking
Sparse deepfake detection promotes better disentanglement
Coded Computation over Heterogeneous Clusters
The Cream Rises to the Top: Efficient Reranking Method for Verilog Code Generation
InstantStyleGaussian: Efficient Art Style Transfer with 3D Gaussian Splatting
Improving upon Maximum Independent Set by five orders of magnitude
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
MAQ-CaF: A Modular Air Quality Calibration and Forecasting method for cross-sensitive pollutants
Automatic Identification of Animal Breeds and Species Using Bioacoustics and Artificial Neural Networks
Direction Finding with Sparse Arrays Based on Variable Window Size Spatial Smoothing
PoSSUM: A Protocol for Surveying Social-media Users with Multimodal LLMs
Machine Unlearning: its nature, scope, and importance for a "delete culture"
One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis
Deciphering Viral Trends in WhatsApp: A Case Study From a Village in Rural India
Supporting Software Engineering Research and Education by Annotating Public Videos of Developers Programming
Defining a Strategic Action Plan for AI in Higher Education
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Research on dynamic target detection and tracking system of hexapod robot
Languages recognised by finite semigroups, and their generalisations to objects such as trees and graphs, with an emphasis on definability in monadic second-order logic
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights into Global Migration Flows
Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes Benchmark
A Survey of Machine Learning Applied to Computer Architecture Design
An Association Test Based on Kernel-Based Neural Networks for Complex Genetic Association Analysis
Stochastic Flexibility Evaluation for Virtual Power Plant by Aggregating Distributed Energy Resources
On the Undecidability of Fuzzy Description Logics with GCIs with Lukasiewicz t-norm
Big Data in Cloud Computing Review and Opportunities
Opportunity Cost Algorithms for Combinatorial Auctions
Large Language Models as Misleading Assistants in Conversation
Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
On Asymptotic Analysis of Perturbed Sweeping Processes with Application to Optimization
SmartAttack: Air-Gap Attack via Smartwatches
Personalized Adaptation via In-Context Preference Learning
Analysis of adversarial attacks against CNN-based image forgery detectors
On-Device Multimodal Federated Learning for Efficient Jamming Detection
Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks
Ocior: Ultra-Fast Asynchronous Leaderless Consensus with Two-Round Finality, Linear Overhead, and Adaptive Security
Provable benefits of representation learning
Existence of solutions to port-Hamiltonian systems: initial value problems and optimal control
MatConvNet - Convolutional Neural Networks for MATLAB
Trust-Region Methods with Low-Fidelity Objective Models
Semantic information and artificial intelligence
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
Super-linear convergence in the p-adic QR-algorithm
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation
Tracking-ADMM for Distributed Constraint-Coupled Optimization
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning
Gales and supergales are equivalent for defining constructive Hausdorff dimension
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection
Identifying Professional Photographers Through Image Quality and Aesthetics in Flickr
Finch: Prompt-guided Key-Value Cache Compression
MacWilliams Type Identities for Linear Block Codes on Certain Pomsets
Capacity ATL
Space-Time Wave Localisation in Systems of Subwavelength Resonators
Computer-aided implant design for the restoration of cranial defects
Transmission-and-Distribution Frequency Dynamic Co-Simulation Framework for Distributed Energy Resources Frequency Response
Estimating Range Queries using Aggregate Data with Integrity Constraints: a Probabilistic Approach
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
EgoMap: Projective mapping and structured egocentric memory for Deep RL
SCB-ST-Dataset4: Extending the Spatio-Temporal Behavior Dataset in Student Classroom Scenarios Through Image Dataset Method
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
From the Lab to the Wild: Affect Modeling via Privileged Information
Discriminating Defense Against DDoS Attacks; a Novel Approach
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
MRI Breast tissue segmentation using nnU-Net for biomechanical modeling
pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
Printing and Scanning Attack for Image Counter Forensics
DNN Speaker Tracking with Embeddings
Optimal Pilot Design for OTFS in Linear Time-Varying Channels
Noise in Structured-Light Stereo Depth Cameras: Modeling and its Applications
Temporal Vegetation Index-Based Unsupervised Crop Stress Detection via Eigenvector-Guided Contrastive Learning
Introduction to Artificial Consciousness: History, Current Trends and Ethical Challenges
Optical Text Recognition in Nepali and Bengali: A Transformer-based Approach
The Natural Robotics Contest: Crowdsourced Biomimetic Design
Joint Energy and SINR Coverage in Spatially Clustered RF-powered IoT Network
Semantic Segmentation on VSPW Dataset through Masked Video Consistency
Compression of the Channel State Information with Deep Learning
CareCom: Generative Image Composition with Calibrated Reference Features
Manipulation of Articulated Objects using Dual-arm Robots via Answer Set Programming
HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving
Hybrid Game Control Envelope Synthesis
Less is More! A slim architecture for optimal language translation
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation
Analyzing the Gadgets Towards a Metric to Measure Gadget Quality
Universal Gröbner Bases of (Universal) Multiview Ideals
TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation
Creating a surrogate commuter network from Australian Bureau of Statistics census data
Interdisciplinary research and the production of local knowledge: evidence from a developing country
Learning Generalizable Prompt for CLIP with Class Similarity Knowledge
Graph Adversarial Networks: Protecting Information against Adversarial Attacks
PointCutMix: Regularization Strategy for Point Cloud Classification
The Entropy Power Inequality with quantum conditioning
Finding surfaces in simplicial complexes with bounded-treewidth 1-skeleton
SVAgent: AI Agent for Hardware Security Verification Assertion
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
A Simple and Efficient Asynchronous Randomized Binary Byzantine Consensus Algorithm
Enhanced Event-Based Video Reconstruction with Motion Compensation
User configurable 3D object regeneration for spatial privacy
An automated, geometry-based method for the analysis of hippocampal thickness
Algorithms and data structures for numerical computations with automatic precision estimation
Token Pooling in Vision Transformers
A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
Use of Computer Vision to Detect Tangles in Tangled Objects
Divergence functions in dually flat spaces and their properties
Dynamic Modelling of Combined Cycle Power Plant for Load Frequency Control With Large Penetration of Renewable Energy
Les Entités Nommées : usage et degrés de précision et de désambiguïsation
Boosting the Confidence of Generalization for L 2 -Stable Randomized Learning Algorithms
An Optimal Level-synchronous Shared-memory Parallel BFS Algorithm with Optimal parallel Prefix-sum Algorithm and its Implications for Energy Consumption
Harmonic Control Lyapunov Barrier Functions for Constrained Optimal Control with Reach-Avoid Specifications
Non-Local Probes Do Not Help with Graph Problems
Optimization of Lattice Boltzmann Simulations on Heterogeneous Computers
A Generalized and Adaptive Method for Community Detection
Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
Backpropagation of Hebbian plasticity for lifelong learning
Ef-QuantFace: Streamlined Face Recognition with Small Data and Low-Bit Precision
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis
A Novel Millimeter-Wave Channel Simulator and Applications for 5G Wireless Communications
Evaluating judgment of spatial correlation in visual displays of scalar field distributions
The survival of scientific stylization
Towards Bi-Hemispheric Emotion Mapping through EEG: A Dual-Stream Neural Network Approach
Detectability thresholds and optimal algorithms for community structure in dynamic networks