yusuke1997/dblp-id-title huggingface dataset:
Convergence Analysis of Natural Power Method and Its Applications to Control
Large Language Model Evaluation Via Multi AI Agents: Preliminary results
Probabilistic Search and Track with Multiple Mobile Agents
ASOCEM: Automatic Segmentation Of Contaminations in cryo-EM
Epoch-Synchronous Overlap-Add (ESOLA) for Time- and Pitch-Scale Modification of Speech Signals
On Controller Design for Systems on Manifolds in Euclidean Space
OGCOSMO: An auxiliary tool for the study of the Universe within hierarchical scenario of structure formation
Network Representation Learning: Consolidation and Renewed Bearing
Multiplication of free random variables and the S-transform: the case of vanishing mean
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture
Kernel Based Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games
PCL-Indexability and Whittle Index for Restless Bandits with General Observation Models
Design of a Sliding Window over Asynchronous Event Streams
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
On Provisioning Cellular Networks for Distributed Inference
Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization
Distributed Finite-time Differentiator for Multi-agent Systems Under Directed Graph
OrthoGAN: Multifaceted Semantics for Disentangled Face Editing
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations
M3OOD: Automatic Selection of Multimodal OOD Detectors
Polar Codes for Distributed Hierarchical Source Coding
The Danish Gigaword Project
AI/ML Based Detection and Categorization of Covert Communication in IPv6 Network
A matrix-free convex limiting framework for continuous Galerkin methods with nonlinear stabilization
Software Engineering Timeline: major areas of interest and multidisciplinary trends
Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech
A constrained gentlest ascent dynamics and its applications to find excited states of Bose-Einstein condensates
Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning
Understanding the Tradeoffs in Client-Side Privacy for Speech Recognition
An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM Reasoning
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
Deep neural network approximation of composite functions without the curse of dimensionality
Corpus Christi: Establishing Replicability when Sharing the Bread is Not Allowed
Learned Garbage Collection
Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai
Multi-contrast laser endoscopy for in vivo gastrointestinal imaging
DHYMON: a Continuous Decentralized Hybrid Monitoring Architecture for MANETs
Wideband Sensing and Optimization for Cognitive Radio Networks with Noise Variance Uncertainty
Orthonormal Embedding-based Deep Clustering for Single-channel Speech Separation
GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding
Machine Learning for Galaxy Morphology Classification
ParticLS: Object-oriented software for discrete element methods and peridynamics
Upgrading Pepper Robot s Social Interaction with Advanced Hardware and Perception Enhancements
Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking
Conformer: Embedding Continuous Attention in Vision Transformer for Weather Forecasting
A Cyber-Physical Perspective to Pinning-Decision for Distributed Multi-Agent Control in Microgrid against Stochastic Communication Disruptions
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
Data-oriented Dynamic Fine-tuning Parameter Selection Strategy for FISH Mask based Efficient Fine-tuning
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
RzenEmbed: Towards Comprehensive Multimodal Retrieval
An Exploratory Study of Mobile Computing Use by Knowledge Workers
Gauge Field Generation on Large-Scale GPU-Enabled Systems
CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
Analyzing the benefits of communication channels between deep learning models
DM algorithms in healthindustry
Distributed control and navigation system for quadrotor UAVs in GPS-denied environments
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control
Neural Models for Reasoning over Multiple Mentions using Coreference
Observability in Inertial Parameter Identification
Heterogeneous Computing on Mixed Unstructured Grids with PyFR
A fully data-driven method to identify (correlated) changes in diachronic corpora
FedStruct: Federated Decoupled Learning over Interconnected Graphs
Neuromorphic Incremental on-chip Learning with Hebbian Weight Consolidation
Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion
Nonlinearity Attack against the Kirchhoff-Law-Johnson-Noise (KLJN) Secure Key Exchange Protocol
Feedback-Aided Coded Caching for the MISO BC with Small Caches
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation
A low-cost wave-solar powered Unmanned Surface Vehicle
Learning Hash Codes via Hamming Distance Targets
The Broken Windows Theory Applies to Technical Debt
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps
Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges
Collaborative Machine Learning Markets with Data-Replication-Robust Payments
AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models
Software startuppers took the medias paycheck Medias fightback happens through startup culture and abstraction shifts
Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning
Notes on numerical analysis and solitary wave solutions of Boussinesq/Boussinesq systems for internal waves
Taxonomomy of Disinformation
Signal Strength based Scheme for Following Mobile IoT Devices in Dynamic Environments
Scaling Laws for Energy Efficiency of Local LLMs
The Goldilocks Principle of Learning Unitaries by Interlacing Fixed Operators with Programmable Phase Shifters on a Photonic Chip
Long time behavior of solutions to the generalized Boussinesq equation in Sobolev spaces
MIMA - Multifunctional IoT Integrated Menstrual Aid
Complexity of the Model Checking problem for inquisitive propositional and modal logic
Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers
Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification
Vi-Mistral-X: Building a Vietnamese Language Model with Advanced Continual Pre-training
The steerable graph Laplacian and its application to filtering image data-sets
STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding
Performance Evaluation of Impluse Radio Ultra Wide Band Wireless Sensor Networks
ACE-Net: Fine-Level Face Alignment through Anchors and Contours Estimation
A unified law of robustness for Bregman divergence losses
Ten Principles of AI Agent Economics
Struct2D: A Perception-Guided Framework for Spatial Reasoning in Large Multimodal Models
Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data
Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop
Understanding Crypto-Ransomware
Dichotomy Results for Classified Rank-Maximal Matchings and Popular Matchings
DualVision ArthroNav: Investigating Opportunities to Enhance Localization and Reconstruction in Image-based Arthroscopy Navigation via External Cameras
Modeling and Simulation of an Active Car Suspension with a Robust LQR Controller under Road Disturbance, Parameter Uncertainty and White Noise
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
CloudPSS: A High-Performance Power System Simulator Based on Cloud Computing
SCELMo: Source Code Embeddings from Language Models
Scrapping The Web For Early Wildfire Detection
MonadBFT: Fast, Responsive, Fork-Resistant Streamlined Consensus
Controlling Home Appliances Remotely through Voice Command
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training
Approximation and parameterized algorithms for covering disjointness-compliable set families
Microelectromechanical Resonators for Radio Frequency Communication Applications
How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks
Learning finite-dimensional coding schemes with nonlinear reconstruction maps
On time-domain NRBC for Maxwell's equations and its application in accurate simulation of electromagnetic invisibility cloaks
A Stabilized Hybrid Mixed Finite Element Method for Poroelasticity
Effective Method for Inverse Ising Problem under Missing Observations in Restricted Boltzmann Machines
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models
Online Language Splatting
DK-SLAM: Monocular Visual SLAM with Deep Keypoints Adaptive Learning, Tracking and Loop-Closing
Fast Toeplitz eigenvalue computations, joining interpolation-extrapolation matrix-less algorithms and simple-loop conjectures: the preconditioned setting
Understanding the Role of Large Language Models in Software Engineering: Evidence from an Industry Survey
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
CMP: Cooperative Motion Prediction with Multi-Agent Communication
A Dual-Path neural network model to construct the flame nonlinear thermoacoustic response in the time domain
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System
A study on the adequacy of common IQA measures for medical images
The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors
Surrogate-assisted multi-objective design of complex multibody systems
Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man
Improving Autoformalization using Type Checking
L-HYDRA: Multi-Head Physics-Informed Neural Networks
Open Weak CAD and Its Applications
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights
Probabilistic Reach-Avoid for Bayesian Neural Networks
Fostering learners' self-regulation and collaboration skills and strategies for mobile language learning beyond the classroom
Transmission of information via the non-linear Scroedinger equation: The random Gaussian input case
Assume-Guarantee Synthesis for Digital Contract Signing
Subspace-based Approximate Hessian Method for Zeroth-Order Optimization
A spline-based spatial impulse response simulator
ConGeo: Robust Cross-view Geo-localization across Ground View Variations
A short note on Simulation and Abstraction
Thermodynamic Cost of Edge Detection in Artificial Neural Network(ANN)-Based Processors
LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening
On Krohn-Rhodes theory for semiautomata
Distributed MIN-MAX Optimization Application to Time-optimal Consensus: An Alternating Projection Approach
Hulls of projective Reed-Muller codes over the projective plane
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets
O numeričkom rješavanju Cauchyjevog problema Runge-Kutta metodama na Shishkinovoj mreži
Lipschitz Bandit Optimization with Improved Efficiency
Visualizing Quantum Circuit Probability - estimating computational action for quantum program synthesis
On Weak Dress Codes for Cloud Storage
Optimized Strategies for Peak Shaving and BESS Efficiency Enhancement through Cycle-Based Control and Cluster-Level Power Allocation
NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning
Computational Irreducibility as the Foundation of Agency: A Formal Model Connecting Undecidability to Autonomous Behavior in Complex Systems
Active Reinforcement Learning - A Roadmap Towards Curious Classifier Systems for Self-Adaptation
The abstract Cauchy problem for the non-stationary bulk queue M(t)|M[k, B]|1
SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution
Knitting Robots: A Deep Learning Approach for Reverse-Engineering Fabric Patterns
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks
Towards Real-time Drowsiness Detection for Elderly Care
End-to-end Learning, with or without Labels
Price and Profit Awareness in Recommender Systems
Playing Pokémon Red via Deep Reinforcement Learning
Achieving Adversarial Robustness Requires An Active Teacher
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks
The Complexity of Flow Analysis in Higher-Order Languages
Topological containment of the 5-clique minus an edge in 4-connected graphs
Pedestrian Detection aided by Deep Learning Semantic Tasks
Large statistical learning models effectively forecast diverse chaotic systems
CPAny: Couple With Any Encoder to Refer Multi-Object Tracking
On the Structure of Interlinked Cycle Structures with Interlocked Outer Cycles
Unified Classification and Rejection: A One-versus-All Framework
Identifying Potential Exomoon Signals with Convolutional Neural Networks
A wearable general-purpose solution for Human-Swarm Interaction
Lane Detection System for Driver Assistance in Vehicles
DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
Modeling realistic human behavior using generative agents in a multimodal transport system: Software architecture and Application to Toulouse
The Sound of Entanglement
Modeling Events as Machines
Performance Impact of Lock-Free Algorithms on Multicore Communication APIs
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{\circ} $ Insufficient RGB-D Views
Evaluating end-to-end entity linking on domain-specific knowledge bases: Learning about ancient technologies from museum collections
Prediction is not Explanation: Revisiting the Explanatory Capacity of Mapping Embeddings
Two Heads Are Better Than One: Collaborative LLM Embodied Agents for Human-Robot Interaction
The stabilizer for n-qubit symmetric states
Spiking Neural Network for Cross-Market Portfolio Optimization in Financial Markets: A Neuromorphic Computing Approach
Managing Variability in Relational Databases by VDBMS
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
DoD stabilization for higher-order advection in two dimensions
Transformation of Python Applications into Function-as-a-Service Deployments
Hierarchical Residual Attention Network for Single Image Super-Resolution
Saturation Power based Simple Energy Efficiency Maximization Schemes for MU-MISO Systems
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint
Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning
Cooperative Spectrum Sensing over Generalized Fading Channels Based on Energy Detection
State-of-the-Art Survey on In-Vehicle Network Communication (CAN-Bus) Security and Vulnerabilities
Adaptive Event-Triggered Policy Gradient for Multi-Agent Reinforcement Learning
Using CODEQ to Train Feed-forward Neural Networks
Functional Simulation of Real-Time Quantum Control Software
Survey and Perspective on Social Emotions in Robotics
Texture variation adaptive image denoising with nonlocal PCA
DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation
A Las Vegas approximation algorithm for metric 1-median selection
Observer Placement for Source Localization: The Effect of Budgets and Transmission Variance
InSight-R: A Framework for Risk-informed Human Failure Event Identification and Interface-Induced Risk Assessment Driven by AutoGraph
The PWLR Graph Representation: A Persistent Weisfeiler-Lehman scheme with Random Walks for Graph Classification
Cyber-Physical Risk Assessment for False Data Injection Attacks Considering Moving Target Defences
Generation of Differentially Private Heterogeneous Electronic Health Records
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models
Application of the Waveform Relaxation Technique to the Co-Simulation of Power Converter Controller and Electrical Circuit Models
DNP-Guided Contrastive Reconstruction with a Reverse Distillation Transformer for Medical Anomaly Detection
Cross-Receiver Generalization for RF Fingerprint Identification via Feature Disentanglement and Adversarial Training
Texture-Aware StarGAN for CT data harmonisation
Belief Propagation Decoding of Polar Codes on Permuted Factor Graphs
Broadcast gossip averaging algorithms: interference and asymptotical error in large networks
OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
Fast Universal Style Transfer for Artistic and Photorealistic Rendering
Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space
HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
Consensus over Weighted Directed Graphs: A Robustness Perspective
Convergence rates for the Trotter-Kato splitting
Terrorism Event Classification Using Fuzzy Inference Systems
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
A Higher-Order Multiscale Method for the Wave Equation
Topology-Inspired Morphological Descriptor for Soft Continuum Robots
Can Foundation Models Predict Fitness for Duty?
Three-dimensional Tracking of a Large Number of High Dynamic Objects from Multiple Views using Current Statistical Model
AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning
Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation
GRILE: A Benchmark for Grammar Reasoning and Explanation in Romanian LLMs
Controlling Exploration Improves Training for Deep Neural Networks
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals
Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis
Discrete Event, Continuous Time RNNs
Wykorzystanie Rekonfigurowalnych Iinteligentnych Matryc Antenowych w Łączu Dosyłowym Sieci 5G/6G Wykorzystującej Bezzałogowe Statki Powietrzne
Consistency and convergence of flux-corrected finite element methods for nonlinear hyperbolic problems
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
Differential Communication in Channels with Mobility and Delay Spread using Zak-OTFS
Classification of Stochastic Processes with Topological Data Analysis
CREPE: Can Vision-Language Foundation Models Reason Compositionally?
Time for dithering: fast and quantized random embeddings via the restricted isometry property
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
"Tom" pet robot applied to urban autism
Eunomia: A Permissionless Parallel Chain Protocol Based on Logical Clock
Computing Dialogue Acts from Features with Transformation-Based Learning
Hybrid Precoder and Combiner Design with One-Bit Quantized Phase Shifters in mmWave MIMO Systems
When Does Language Transfer Help? Sequential Fine-Tuning for Cross-Lingual Euphemism Detection
Logistic Ensemble Models
The logic of entanglement
An example of how false conclusions could be made with personalized health tracking and suggestions for avoiding similar situations
MEDEA: A Design-Time Multi-Objective Manager for Energy-Efficient DNN Inference on Heterogeneous Ultra-Low Power Platforms
ADLM - stega: A Universal Adaptive Token Selection Algorithm for Improving Steganographic Text Quality via Information Entropy
Machine Learning and Deep Learning methods for predictive modelling from Raman spectra in bioprocessing
Pairings on hyperelliptic curves
Fertility and its Meaning: Evidence from Search Behavior
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Evaluating and Improving the Robustness of LiDAR-based Localization and Mapping
The Devil's Dung? Money as a mechanism of generalized reciprocity in human societies
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
A O(n^8) X O(n^7) Linear Programming Model of the Traveling Salesman Problem
AE regularity of interval matrices
Are Statistical Methods Obsolete in the Era of Deep Learning?
Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modelling
Entropy-Regularized Token-Level Policy Optimization for Large Language Models
A Computational Approach to Improving Fairness in K-means Clustering
Improved approximation algorithm for Fault-Tolerant Facility Placement
Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework
Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
Faster-than-Nyquist Signaling for Next-Generation Wireless: Principles, Applications, and Challenges
Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation
Marine Locomotion: A Tethered UAV$-$Buoy System with Surge Velocity Control
Quantitative Analysis of the Italian National Scientific Qualification
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
Autonomous AI imitators increase diversity in homogeneous information ecosystems
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials
Certified Interpretability Robustness for Class Activation Mapping
VARENN: Graphical representation of spatiotemporal data and application to climate studies
On the needs for MaaS platforms to handle competition in ridesharing mobility
Mitigating Diffusion Model Hallucinations with Dynamic Guidance
Optimum matchings in weighted bipartite graphs
QR-Tag: Angular Measurement and Tracking with a QR-Design Marker
A Case Study of Spherical Parallel Manipulators Fabricated via Laminate Processes
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage
The impact of anticonformity on the diffusion of innovation - insights from the q-voter model
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection
Kernel diff-hash
A Two-Pass Lower Bound for Semi-Streaming Maximum Matching
Colepp: uma ferramenta multiplataforma para coleta de dados de dispositivos vestiveis