yusuke1997/dblp-id-title huggingface dataset:
ReVEAL: GNN-Guided Reverse Engineering for Formal Verification of Optimized Multipliers
Memristor-based cryogenic programmable DC sources for scalable in-situ quantum-dot control
Coordinated Humanoid Manipulation with Choice Policies
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
Teaching DNNs to design fast fashion
Predicting the temporal dynamics of turbulent channels through deep learning
Private Hypothesis Testing for Social Sciences
Straightforward Bibliography Management in R with the RefManageR Package
A Complete Diagrammatic Calculus for Conditional Gaussian Mixtures
Supertoroid fitting of objects with holes for robotic grasping and scene generation
Canonical mean-field molecular dynamics derived from quantum mechanics
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide
Quantum Worst-Case to Average-Case Reduction for Matrix-Vector Multiplication
A Model Approach to Build Basic Ontology
Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion
Urban transport systems shape experiences of social segregation
A toolbox to solve coupled systems of differential and difference equations
Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository
Outlier-immune Data-driven Linear Power Flow Model Construction via Mixed-Integer Programming
New binary self-dual codes of lengths 56, 62, 78, 92 and 94 from a bordered construction
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative?
Incremental procedural and sensorimotor learning in cognitive humanoid robots
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains
On some representations of context-free languages
VLM-KG: Multimodal Radiology Knowledge Graph Generation
Open-architecture Implementation of Fragment Molecular Orbital Method for Peta-scale Computing
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images
On Algorithmic Fairness and the EU Regulations
M^4I: Multi-modal Models Membership Inference
A Stochastic Geometry Analysis of Large-scale Cooperative Wireless Networks Powered by Energy Harvesting
The Web as a Knowledge-base for Answering Complex Questions
End-to-End Abnormality Detection in Medical Imaging
Analysis of Internet of Things implementation barriers in the cold supply chain: an integrated ISM-MICMAC and DEMATEL approach
MASS: Multi-task Anthropomorphic Speech Synthesis Framework
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques
Product Entropic Uncertainty Principle
The Power of Locality: An Elementary Integrality Proof of Rothblum's Stable Matching Formulation
UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning
Generative Topology Optimization: Exploring Diverse Solutions in Structural Design
Survey on Large Scale Neural Network Training
Versatile Telescopic-Wheeled-Legged Locomotion of Tachyon 3 via Full-Centroidal Nonlinear Model Predictive Control
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks
A Framework for Incentivized Collaborative Learning
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Experience, Imitation and Reflection; Confucius' Conjecture and Machine Learning
Can Layer-wise SSL Features Improve Zero-Shot ASR Performance for Children's Speech?
Robust non-local means filter for ultrasound image denoising
Micro-macro Gaussian Splatting with Enhanced Scalability for Unconstrained Scene Reconstruction
Reinforcement Learning Assisted Load Test Generation for E-Commerce Applications
Spark Deficient Gabor Frames for Inverse Problems
Soft-margin classification of object manifolds
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation
Joint Optimization of Area Spectral Efficiency and Delay Over PPP Interfered Ad-hoc Networks
Variational Quantum Policy Gradients with an Application to Quantum Control
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion
Diabetes Prediction and Management Using Machine Learning Approaches
Trace Expressiveness of Timed and Probabilistic Automata
Session-based Recommendation with Heterogeneous Graph Neural Network
Protein secondary structure prediction using deep convolutional neural fields
Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application
ANN-MoC Method for Inverse Transient Transport Problems in One-Dimensional Geometry
Social significance of community structure: Statistical view
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos
MooER: LLM-based Speech Recognition and Translation Models from Moore Threads
Information loss from dimensionality reduction in 5D-Gaussian spectral data
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
A Hierarchical Approach to Remote Sensing Scene Classification
Modeling the Role of Context Dependency in the Recognition and Manifestation of Entrepreneurial Opportunity
Detecting Opinions in Tweets
How We Lost The Internet
Meshless Methods for Large Deformation Elastodynamics
High Order Reasoning for Time Critical Recommendation in Evidence-based Medicine
A Quantitative Approach in Heuristic Evaluation of E-commerce Websites
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI
Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective
Tunable Reactive Synthesis for Lipschitz-Bounded Systems with Temporal Logic Specifications
Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation
Proactive QoE Provisioning in Heterogeneous Access Networks using Hidden Markov Models and Reinforcement Learning
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection
Beyond Phasors: Solving Non-Sinusoidal Electrical Circuits using Geometry
AuscultaBase: A Foundational Step Towards AI-Powered Body Sound Diagnostics
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers
Software Process Models and Analysis on Failure of Software Development Projects
Rigorous numerical integration of algebraic functions
Creativity, Generative AI, and Software Development: A Research Agenda
On the Number of Maximal Cliques in Two-Dimensional Random Geometric Graphs: Euclidean and Hyperbolic
A Pseudo-Polynomial Algorithm for Mean Payoff Stochastic Games with Perfect Information and Few Random Positions
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Analyzing Gender Polarity in Short Social Media Texts with BERT: The Role of Emojis and Emoticons
AKF-SR: Adaptive Kalman Filtering-based Successor Representation
Asymptotic bounds of depth for the reversible circuit consisting of NOT, CNOT and 2-CNOT gates
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
Product Forms for FCFS Queueing Models with Arbitrary Server-Job Compatibilities: An Overview
Formal Modelling of a Usable Identity Management Solution for Virtual Organisations
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors
Asymptotically accurate and locking-free finite element implementation of the refined shell theory
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data
AIComposer: Any Style and Content Image Composition via Feature Integration
On the Unknowable Limits to Prediction
On Transforming Functions Accessing Global Variables into Logically Constrained Term Rewriting Systems
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
A Further Step Towards an Understanding of the Tournament Equilibrium Set
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition
Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory
TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
Color-critical Graphs and Hereditary Hypergraphs
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs
A Numerical Study of the Performance of a Quantum Adiabatic Evolution Algorithm for Satisfiability
On the Effectiveness of Minisum Approval Voting in an Open Strategy Setting: An Agent-Based Approach
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks
Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams
Train Robots in a JIF: Joint Inverse and Forward Dynamics with Human and Robot Demonstrations
HyperFlow: Representing 3D Objects as Surfaces
Holographic Radiance Cascades for 2D Global Illumination
Effective Dynamics of Generative Adversarial Networks
Priority aware grouping-based multihop routing scheme for RIS-assisted wireless networks
Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models
Strong Collapse of Random Simplicial Complexes
Combined Machine Learning and Physics-Based Forecaster for Intra-day and 1-Week Ahead Solar Irradiance Forecasting Under Variable Weather Conditions
An Investigation of Large Language Models and Their Vulnerabilities in Spam Detection
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction
Would Friedman Burn your Tokens?
Memristive Linear Algebra
Towards Unified Alignment Between Agents, Humans, and Environment
SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method
A Gamified Interaction with a Humanoid Robot to explain Therapeutic Procedures in Pediatric Asthma
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output
Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders
(Neural-Symbolic) Machine Learning for Inconsistency Measurement
EngiBench: A Framework for Data-Driven Engineering Design Research
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions
Exploring persuasive interactions with generative social robots: An experimental framework
Video Vision Transformers for Violence Detection
Provable Unrestricted Adversarial Training without Compromise with Generalizability
Field Knowledge as a Dual to Distributed Knowledge: A Characterization by Weighted Modal Logic
HARE: an entity and relation centric evaluation framework for histopathology reports
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access
Cost-Effective Situational Awareness Through IoT COTS Radios
Kinetic Stable Delaunay Graphs
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs
Near-Optimal Learning of Tree-Structured Distributions by Chow-Liu
RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning
Bandwidth-aware Service Placement in Community Network Clouds
A Coq Formalization of Unification Modulo Exclusive-Or
Boolean Functions of Binary Type-II and Type-III/II Complementary Array Pair
IDEQ: an improved diffusion model for the TSP
Towards Reasoning-Aware Explainable VQA
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
A novel approach to nose-tip and eye corners detection using H-K Curvature Analysis in case of 3D images
Ultrafast pulsed laser evaluation of Single Event Transients in opto-couplers
Finding resource states of measurement-based quantum computing is harder than quantum computing
Exploring Large Language Model as an Interactive Sports Coach: Lessons from a Single-Subject Half Marathon Preparation
Cable Slack Detection for Arresting Gear Application using Machine Vision
ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala
A Minimal OO Calculus for Modelling Biological Systems
Analysis of Normal-Form Algorithms for Solving Systems of Polynomial Equations
Zero-shot Voice Conversion with Diffusion Transformers
State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning
Data integration and prediction models of photovoltaic production from Brazilian northeastern
Quantum Merlin-Arthur and proofs without relative phase
What caused what? An irreducible account of actual causation
Autonomous Driving Implementation in an Experimental Environment
Evidential Transactions with Cyberlogic
Fast, memory efficient low-rank approximation of SimRank
L1 regularization is better than L2 for learning and predicting chaotic systems
A light-weight, multi-axis compliant tensegrity joint
The Effects of In-domain Corpus Size on pre-training BERT
Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning
Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks
Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction
Evaluation of User Perception on Biometric Fingerprint System
A Study on Interaction Complexity and Time
AcceLLM: Accelerating LLM Inference using Redundancy for Load Balancing and Data Locality
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection
Autoregressive + Chain of Thought = Recurrent: Recurrence's Role in Language Models' Computability and a Revisit of Recurrent Transformer
On Decentralization of Bitcoin: An Asset Perspective
Social Conformity Despite Individual Preferences for Distinctiveness
Is novelty predictable?
On the Calculation of the Incomplete MGF with Application to Physical Layer Security
Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint
Enhanced Bloom's Educational Taxonomy for Fostering Information Literacy in the Era of Large Language Models
U-PINet: End-to-End Hierarchical Physics-Informed Learning With Sparse Graph Coupling for 3D EM Scattering Modeling
A weighted first-order formulation for solving anisotropic diffusion equations with deep neural networks
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts
Context Tuning for In-Context Optimization
A Survey on Patients Privacy Protection with Stganography and Visual Encryption
Muddling Label Regularization: Deep Learning for Tabular Datasets
Adaptively Preconditioned Stochastic Gradient Langevin Dynamics
Imputation Uncertainty in Interpretable Machine Learning Methods
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication
Network Overload due to Massive Attacks
Survey of Uncertainty Handling in Cloud Service Discovery and Composition
Student-friendly Knowledge Distillation
GaussGym: An open-source real-to-sim framework for learning locomotion from pixels
MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation
A Unified Approach of Observability Analysis for Airborne SLAM
Einstein's Equations and the Entropy of pseudo-Riemannian Information Manifolds
Opportunities for a Truffle-based Golo Interpreter
Analysis of Exploration vs. Exploitation in Adaptive Information Sampling
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
From Declarative Model to Solution: Scheduling Scenario Synthesis
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge
Lung-DDPM+: Efficient Thoracic CT Image Synthesis using Diffusion Probabilistic Model
VQ-DeepVSC: A Dual-Stage Vector Quantization Framework for Video Semantic Communication
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases
Design and Application of Multimodal Large Language Model Based System for End to End Automation of Accident Dataset Generation
HandCT: hands-on computational dataset for X-Ray Computed Tomography and Machine-Learning
End-to-End Spoken Language Translation
GANs for Urban Design
Non-Causal Tracking by Deblatting
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks
The second boundary value problem for a discrete Monge-Ampere equation with symmetrization
DISPLIB: a library of train dispatching problems
A Survey of Modern Deep Learning based Object Detection Models
Consensus of second order multi-agents with actuator saturation and asynchronous time-delays
On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget
Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling
On Coresets for Clustering in Small Dimensional Euclidean Spaces
Data Mining : A prediction of performer or underperformer using classification
Fractional norms and quasinorms do not help to overcome the curse of dimensionality
Automated question generation and question answering from Turkish texts using text-to-text transformers
A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics
OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation
A cognitive process approach to modeling gap acceptance in overtaking
A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification
EchoEA: Echo Information between Entities and Relations for Entity Alignment
CROP: Conservative Reward for Model-based Offline Policy Optimization
New descriptions of the weighted Reed-Muller codes and the homogeneous Reed-Muller codes
Risk aversion as an evolutionary adaptation
Using Autoencoders on Differentially Private Federated Learning GANs
A Conditional Lower Bound for Episode Matching
Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease
Worst-Case Dynamic Power Distribution Network Noise Prediction Using Convolutional Neural Network
A Deep Hierarchical Feature Sparse Framework for Occluded Person Re-Identification
Unsupervised deep clustering for predictive texture pattern discovery in medical images
Analyses and Concerns in Precision Medicine: A Statistical Perspective
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation
Routing with Mutual Information Accumulation in Wireless Networks
Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains
How Does Bilateral Ear Symmetry Affect Deep Ear Features?
Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems
Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
Merge-split Markov chain Monte Carlo for community detection
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms
Automated Synthesis of Divide and Conquer Parallelism
ProdRev: A DNN framework for empowering customers using generative pre-trained transformers
Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
SERL: Self-Examining Reinforcement Learning on Open-Domain
Applying Text Mining to Protest Stories as Voice against Media Censorship
One-side Energy costs of the RBO receiver
RMNet: Equivalently Removing Residual Connection from Networks
An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution
Coalesced communication: a design pattern for complex parallel scientific software
PCA in Data-Dependent Noise (Correlated-PCA): Nearly Optimal Finite Sample Guarantees
On explicit reductions between two purely algebraic problems: MQ and MLD
Step-GRAND: A Low Latency Universal Soft-input Decoder
Hybrid Convolution Neural Network Integrated with Pseudo-Newton Boosting for Lumbar Spine Degeneration Detection
ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph
Mean-Field Transmission Power Control in Dense Networks, Part I - Characterization of the Equilibrium Strategy
Provide a Model for Handover Technology in Wireless Networks
Improving Change Prediction Models with Code Smell-Related Information
Collaborative Creation of Digital Content in Indian Languages
Scaling Test-time Compute for Low-resource Languages: Multilingual Reasoning in LLMs
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising
SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data Augmentation
A mean-field game model for homogeneous flocking
Diffusion-based speech enhancement with a weighted generative-supervised learning loss
On Missing Mass Variance
Dynamic Cross-Modal Alignment for Robust Semantic Location Prediction
An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
Conjugate queries can help
On dynamics of excitation in F-actin: automaton model
NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties
Image Type Water Meter Character Recognition Based on Embedded DSP
Survey on Vision-Language-Action Models
Seer Self-Consistency: Advance Budget Estimation for Adaptive Test-Time Scaling
SimLab: A Platform for Simulation-based Evaluation of Conversational Information Access Systems
Operations on Partial Orders
Concept-oriented model: Modeling and processing data using functions
Composing Networks of Automated Market Makers
Target specific peptide design using latent space approximate trajectory collector
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images
Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process
Two New Algorithms for Line Clipping in E2 and Their Comparison
What can LLM tell us about cities?
Load Forecasting Based Distribution System Network Reconfiguration-A Distributed Data-Driven Approach
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition
ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications
Discovering overlapping communities in multi-layer directed networks
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
Application of Log-Linear Dynamic Inversion Control to a Multi-rotor
AI-Generated Compromises for Coalition Formation
Theoretical Bounds for Stable In-Context Learning
Efficient Multimodal Learning from Data-centric Perspective
Blockchain-assisted Undisclosed IIoT Vulnerabilities Trusted Sharing Protection with Dynamic Token