yusuke1997/dblp-id-title huggingface dataset:
Energy Approach from ϵ-Graph to Continuum Diffusion Model with Connectivity Functional
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
Hebbian learning the local structure of language
Code Optimization in FORM
Optimization of Grant-Free NOMA with Multiple Configured-Grants for mURLLC
Six Questions about 6G
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
Symptom-based Machine Learning Models for the Early Detection of COVID-19: A Narrative Review
Involvement drives complexity of language in online debates
Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM
Interpreting and improving deep-learning models with reality checks
Gestalt: a Stacking Ensemble for SQuAD2.0
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
A Proposed Framework for Development of a Visualizer Based on Memory Transfer Language (MTL)
C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRF
A Polynomial-Time Deterministic Approach to the Traveling Salesperson Problem
Analyzing Endpoints in the Internet of Things Malware
Instruction Tuning-free Visual Token Complement for Multimodal LLMs
Learning and aggregating deep local descriptors for instance-level recognition
Machines of Meaning
A Refinement of the McCreight-Meyer Union Theorem
Effect of emotions and personalisation on cancer website reuse intentions
CyberLLMInstruct: A New Dataset for Analysing Safety of Fine-Tuned LLMs Using Cyber Security Data
Fast Selection of Spectral Variables with B-Spline Compression
A Direct k-Way Hypergraph Partitioning Algorithm for Optimizing the Steiner Tree Metric
Redefining Information Theory: From Quantization and Rate-Distortion to a Foundational Mathematical Framework
ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association
Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models
PolySpeech: Exploring Unified Multitask Speech Models for Competitiveness with Single-task Models
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system
Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization
Are AI Agents interacting with Online Ads?
Exploring End-to-End Multi-channel ASR with Bias Information for Meeting Transcription
Machine Learning for Heterogeneous Ultra-Dense Networks with Graphical Representations
Differentially Private L 2 -Heavy Hitters in the Sliding Window Model
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection
Least Restrictive Hyperplane Control Barrier Functions
Pose Invariant Person Re-Identification using Robust Pose-transformation GAN
Multiple-precision zero-finding methods and the complexity of elementary function evaluation
On the Spatial Structure of Mixture-of-Experts in Transformers
Free Open Source Communities Sustainability: Does It Make a Difference in Software Quality?
A block EM algorithm for multivariate skew normal and skew t-mixture models
Neural Language Generation: Formulation, Methods, and Evaluation
PID2018 Benchmark Challenge: Model-based Feedforward Compensator with A Conditional Integrator
OpenEDS: Open Eye Dataset
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
Quantum Stream Learning
Stock price prediction using BERT and GAN
From Observability to Observer Realization: A path via elementary block-diagram manipulations
Automated Circuit Interpretation via Probe Prompting
Extensions to Justification Theory
On Time Delay Interpolation for Improved Acoustic Reflector Localization
Transfer Learning of CATE with Kernel Ridge Regression
Can masking background and object reduce static bias for zero-shot action recognition?
TASER: Translation Assessment via Systematic Evaluation and Reasoning
Learning Fine-Scaled Depth Maps from Single RGB Images
Towards Resilient Access Equality for 6G Serverless p-LEO Satellite Networks
Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks
Accelerating Parameter Extraction of Power MOSFET Models Using Automatic Differentiation
Human Annotations Improve GAN Performances
A Formal Axiomatization of Computation
Implicit Linear Algebra and Basic Circuit Theory II: port behaviour of rigid multiports
Risk Bounds for Learning via Hilbert Coresets
Predict Patient Self-reported Race from Skin Histological Images
CQI-Based Interference Prediction for Link Adaptation in Industrial Sub-networks
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Predicting the Emergence of Solar Active Regions Using Machine Learning
BLAB Reporter: Automated journalism covering the Blue Amazon
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Revisiting a Cutting Plane Method for Perfect Matchings
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications
Text Infilling
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks
Financial data analysis application via multi-strategy text processing
Functional Magnetic Resonance Imaging data augmentation through conditional ICA
Reducing Data Requirements for Sequence-Property Prediction in Copolymer Compatibilizers via Deep Neural Network Tuning
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
Computing a Minimum-Cost k-hop Steiner Tree in Tree-Like Metrics
Hybrid Analog-Digital Beamforming for Massive MIMO Systems
High-order exponential integration for seismic wave modeling
Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?
Global SNR Estimation of Speech Signals using Entropy and Uncertainty Estimates from Dropout Networks
Achievable Rate Region of Non-Orthogonal Multiple Access Systems with Wireless Powered Decoder
Hierarchical Recording Architecture for Three-Dimensional Magnetic Recording
Beware of Instantaneous Dependence in Reinforcement Learning
A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries
Testing with Jupyter notebooks: NoteBook VALidation (nbval) plug-in for pytest
PolyGraph Discrepancy: a classifier-based metric for graph generation
We're Different, We're the Same: Creative Homogeneity Across LLMs
Secure Aggregation for Buffered Asynchronous Federated Learning
A Feature-based Classification of Model Repair Approaches
Modelling Art Interpretation and Meaning. A Data Model for Describing Iconology and Iconography
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Evolving Multi-Objective Neural Network Controllers for Robot Swarms
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
Discovering novel computer music techniques by exploring the space of short computer programs
Learning to Reason With Relational Abstractions
BinMatch: A Semantics-based Hybrid Approach on Binary Code Clone Analysis
Multimodal Learning for Multi-Omics: A Survey
Asymptotic Log-Det Rank Minimization via (Alternating) Iteratively Reweighted Least Squares
Generating Distributed Programs from Event-B Models
A Global Data-Driven Model for The Hippocampus and Nucleus Accumbens of Rat From The Local Field Potential Recordings (LFP)
Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders
Krivine diffusions attain the Goemans-Williamson approximation ratio
Cloud Migration Methodologies Preliminary Findings
Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces
State Complexity of Permutation on Finite Languages
A Framework for Control Channels Applied to Reconfigurable Intelligent Surfaces
Transformers in Reinforcement Learning: A Survey
Envisioning Generative Artificial Intelligence in Cartography and Mapmaking
A Construction of Quantum Codes via A Class of Classical Polynomial Codes
Polynomial Identification of omega-Automata
The Compilation of Decision Models
Study of Constrained Precoding with Zero-Crossing Modulation for Channels with 1-Bit Quantization and Oversampling
Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
IterDet: Iterative Scheme for ObjectDetection in Crowded Environments
Soft lambda-calculus: a language for polynomial time computation
Lessons in Reproducibility: Insights from NLP Studies in Materials Science
Decision-making processes in the Cognitive Theory of True Conditions
CottonSim: Development of an autonomous visual-guided robotic cotton-picking system in the Gazebo
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
Random Words in a (Weighted) Regular Language: a Free Energy Approach
Ensembling with Deep Generative Views
Statistics and implementation of APRNGs
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks
Telephone Surveys Meet Conversational AI: Evaluating a LLM-Based Telephone Survey System at Scale
Mitigating Sybil Attacks on Differential Privacy based Federated Learning
Multi-core processors - An overview
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties
Designing a cost-time-quality-efficient grinding process using MODM methods
Impulse Response of the Channel with a Spherical Absorbing Receiver and a Spherical Reflecting Boundary
Low Cost PC Based Real Time Data Logging System Using PCs Parallel Port For Slowly Varying Signals
Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
Action Recognition with Deep Multiple Aggregation Networks
E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
Epigenetic opportunities for Evolutionary Computation
The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solving
Distance energy based routing algorithm with priority handling for UWSN
Genetic Network Architecture Search
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection
An Abstract View of Big Data Processing Programs
Scaling Online Distributionally Robust Reinforcement Learning: Sample-Efficient Guarantees with General Function Approximation
A Tool for Super-Resolving Multimodal Clinical MRI
Coordinate ascent neural Kalman-MLE for state estimation
ProxT2I: Efficient Reward-Guided Text-to-Image Generation via Proximal Diffusion
Posting Patterns of Members of Parental Subreddits
Evolutionary Trigger Set Generation for DNN Black-Box Watermarking
Streaming Transformations of Infinite Ordered-Data Words
From Chat to Checkup: Can Large Language Models Assist in Diabetes Prediction?
Beacon-referenced Pursuit for Collective Motions in Three Dimensions
Evaluating the Effectiveness of Common Technical Trading Models
A new mixed finite-element method for the biharmonic problem
Learning Emergent Behavior in Robot Swarms with NEAT
Stochastic diagonal estimation with adaptive parameter selection
Learning Gradually Non-convex Image Priors Using Score Matching
OriFeel: Origami-Inspired Actuation for Force-Based Tactile Feedback on Ambient Surfaces
Fast and Unified Path Gradient Estimators for Normalizing Flows
An Interdisciplinary Approach to Human-Centered Machine Translation
Continuous Data Assimilation for the Double-Diffusive Natural Convection
Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study
Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper -
Dexterous Manipulation Primitives for the Real Robot Challenge
Multi Circle Detection on Images Using Artificial Bee Colony (ABC) Optimization
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
Differentially Private Online Learning for Video Recommendation with Social Big Data over Media Cloud
MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
Distribution free uncertainty quantification in neuroscience-inspired deep operators
Envisage: Towards Expressive Visual Graph Querying
SSL Enhancement
Unsupervised CP-UNet Framework for Denoising DAS Data with Decay Noise
A Levenberg-Marquardt algorithm for sparse identification of dynamical systems
Unifying Computing and Cognition: The SP Theory and its Applications
Meta-learning Extractors for Music Source Separation
Availability-Aware Cell Association for Hybrid Power Supply Networks with Adaptive Bias
Constructing sparse Davenport-Schinzel sequences by hypergraph edge coloring
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
Learning When Not to Attend Globally
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
How is Software Reuse Discussed in Stack Overflow?
Audit Analysis Models, Security Frameworks and Their Relevance for VoIP
Confirmable Workflows in OSCAR
WorkerRep: Immutable Reputation System For Crowdsourcing Platform Based on Blockchain
A Review of Network Inference Techniques for Neural Activation Time Series
Efficient Storage of Fine-Tuned Models via Low-Rank Approximation of Weight Residuals
Machine Learning and Computer Vision Techniques to Predict Thermal Properties of Particulate Composites
MolPIF: A Parameter Interpolation Flow Model for Molecule Generation
A fast randomized Kaczmarz algorithm for sparse solutions of consistent linear systems
Clustering individuals based on multivariate EMA time-series data
A Survey on False Information Detection: From A Perspective of Propagation on Social Networks
Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar
DiGrad: Multi-Task Reinforcement Learning with Shared Actions
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation
Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models
Approximation and Heuristic Algorithms for Probabilistic Physical Search on General Graphs
Pi-surfaces: products of implicit surfaces towards constructive composition of 3D objects
A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence
AI Meets Maritime Training: Precision Analytics for Enhanced Safety and Performance
Application of Segment Anything Model for Civil Infrastructure Defect Assessment
Street Layout Design via Conditional Adversarial Learning
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking
Representing Alzheimer's Disease Progression via Deep Prototype Tree
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; A Review Paper
Adaptive Expert Models for Personalization in Federated Learning
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)
File System - A Component of Operating System
Software for the SpaceDREAM Robotic Arm
Dynamic Virtual Inertia and Damping Control for Zero-Inertia Grids
Energy-Efficient UAV Backscatter Communication with Joint Trajectory Design and Resource Optimization
Scratch Team of Single-Rotor Robots and Decentralized Cooperative Transportation with Robot Failure
Quran Recitation Recognition using End-to-End Deep Learning
A Novel Generator with Auxiliary Branch for Improving GAN Performance
Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition
Cross-matching Engine for Incremental Photometric Sky Survey
A DTLS Abstraction Layer for the Recursive Networking Architecture in RIOT
A new proof of the graph removal lemma
Numerical stability analysis of the class of communication hiding pipelined Conjugate Gradient methods
A Brain Tumor Segmentation Method Based on CLIP and 3D U-Net with Cross-Modal Semantic Guidance and Multi-Level Feature Fusion
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy
A Technical Report on PLS-Completeness of Single-Swap for Unweighted Metric Facility Location and K-Means
Convergence and Running Time of Time-dependent Ant Colony Algorithms
A Survey of Event Causality Identification: Principles, Taxonomy, Challenges, and Assessment
Reachability in fixed dimension vector addition systems with states
Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification
Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems
Convolutional dynamical sampling and some new results
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding
Pyramid Vector Quantization for LLMs
Topological Perspectives on Optimal Multimodal Embedding Spaces
Multicontinuum Homogenization for Poroelasticity Model
Nature-Inspired Intelligent α-Fair Hybrid Precoding in Multiuser Massive Multiple-Input Multiple-Output Systems
Asymptotic sequential Rademacher complexity of a finite function class
A PTAS for TSP with Neighborhoods Among Fat Regions in the Plane
VILOD: A Visual Interactive Labeling Tool for Object Detection
Unsupervised Stereo Matching Network For VHR Remote Sensing Images Based On Error Prediction
Residual Overfit Method of Exploration
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
HRIPBench: Benchmarking LLMs in Harm Reduction Information Provision to Support People Who Use Drugs
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning
Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
MoLT: Mixture of Layer-Wise Tokens for Efficient Audio-Visual Learning
Inapproximability within W[1]: the case of Steiner Orientation
LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
Biology of Applied Digital Ecosystems
Capacity allocation through neural network layers
Refactoring of a Database
Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs
Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling
MISO Broadcast Channel with Hybrid CSIT: Beyond Two Users
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection
An assessment of the Commission's Proposal on Privacy and Electronic Communications
SchEdge: A Dynamic, Multi-agent, and Scalable Scheduling Simulator for IoT Edge
Diameter Constrained Reliability: Computational Complexity in terms of the diameter and number of terminals
Well-posedness and approximation of reflected McKean-Vlasov SDEs with applications
Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation
Optimal transport over a linear dynamical system
A Copula-Based Variational Autoencoder for Uncertainty Quantification in Inverse Problems: Application to Damage Identification in an Offshore Wind Turbine
Event Analysis of Pulse-reclosers in Distribution Systems Through Sparse Representation
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
5GC-Bench: A Framework for Stress-Testing and Benchmarking 5G Core VNFs
Reproducing AmbientGAN: Generative models from lossy measurements
Learning to Actively Learn: A Robust Approach
Limitations in Parallel Ising Machine Networks: Theory and Practice
Circular repetition thresholds on some small alphabets: Last cases of Gorbunova's conjecture
TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation
Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting
Facial Emotion Recognition using Deep Residual Networks in Real-World Environments
A Large Scale Comparison of Tetrahedral and Hexahedral Elements for Finite Element Analysis
A Survey of Deep Learning Techniques for Mobile Robot Applications
Error Estimates for the Arnoldi Approximation of a Matrix Square Root
A Comprehensive Study on NLP Data Augmentation for Hate Speech Detection: Legacy Methods, BERT, and LLMs
Reduced Muscle Fatigue Using Continuous Subthreshold Kilohertz Stimulation of Peripheral Nerves
Permutation Generators Based on Unbalanced Feistel Network: Analysis of the Conditions of Pseudorandomness
A criterion for separating process calculi
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
Multilingual Multiaccented Multispeaker TTS with RADTTS
A Model-Mediated Stacked Ensemble Approach for Depression Prediction Among Professionals
Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT
Mathematical Model of Semantic Look - An Efficient Context Driven Search Engine
SoCo: Graph Storage and Software Prefetch Co-Design for Dynamic Graph Processing
RIS-Empowered Integrated Location Sensing and Communication with Superimposed Pilots
Predicting Positive and Negative Links in Online Social Networks
On Learning Nominal Automata with Binders
Engineering Digital Systems for Humanity: a Research Roadmap
TFHE-SBC: Software Designs for Fully Homomorphic Encryption over the Torus on Single Board Computers
Error-rate in Viterbi decoding of a duobinary signal in presence of noise and distortions: theory and simulation
The MathScheme Library: Some Preliminary Experiments
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data
Analysis and structure-preserving approximation of a Cahn-Hilliard-Forchheimer system with solution-dependent mass and volume source
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
The Impact of Depth and Width on Transformer Language Model Generalization
Analog simulator of integro-differential equations with classical memristors
Biometrics Employing Neural Network
A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics
On topological descriptors for graph products
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation
Automatic forming lists of semantically related terms based on texts rating in the corpus with hyperlinks and categories (In Russian)
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
Resilient UAV Swarm Communications with Graph Convolutional Neural Network
Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction
Temporal In-Context Fine-Tuning for Versatile Control of Video Diffusion Models
On pole-swapping algorithms for the eigenvalue problem
Distributed average tracking for multiple reference signals with general linear dynamics
Anakatabatic Inertia: Particle-wise Adaptive Inertia for PSO
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models
PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning