yusuke1997/dblp-id-title huggingface dataset:
Time-Reversible Random Number Generators : Solution of Our Challenge by Federico Ricci-Tersenghi
Semantic Random Walk for Graph Representation Learning in Attributed Graphs
The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems
End-to-End Delay Guaranteed SFC Deployment: A Multi-level Mapping Approach
Collecting and Annotating the Large Continuous Action Dataset
Causal Analysis of Shapley Values: Conditional vs. Marginal
How do Globally Distributed Agile Teams Self-organise? Initial Insights from a Case Study
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
LDPC Coded Modulation with Probabilistic Shaping for Optical Fiber Systems
Auditory-Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
A Framework for the Evaluation of Worst-Case System Efficiency
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation
Genetic algorithm for optimal distribution in cities
Evaluating the External and Parametric Knowledge Fusion of Large Language Models
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
ExpFace: Exponential Angular Margin Loss for Deep Face Recognition
Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion
Analysis of Committee Selection Mechanism in Blockchain
How to avoid ethically relevant Machine Consciousness
Optimal L 2 error estimates for 2D/3D incompressible Cahn-Hilliard-magnetohydrodynamic equations
Constrained Deep Learning-based Model Predictive Control with Improved Constraint Satisfaction
Zero-shot Object Navigation with Vision-Language Models Reasoning
PlanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations
Assessing the value of advanced computing infrastructure for supporting research: new tools to inform research policy
Performance Analysis of Optimizers for Plant Disease Classification with Convolutional Neural Networks
Collective Vertex Classification Using Recursive Neural Network
Automorphism Groups of Comparability Graphs
Damage detection in operational wind turbine blades using a new approach based on machine learning
Online Knowledge Integration for 3D Semantic Mapping: A Survey
Quanta Burst Photography
Digitalizing Wick's theorem
Adaptive Local Clustering over Attributed Graphs
Beating Atari with Natural Language Guided Reinforcement Learning
TOPress3D: 3D topology optimization with design-dependent pressure loads in MATLAB
A Statistical Modelling and Analysis of Residential Electric Vehicles' Charging Demand in Smart Grids
Recommendation systems in the scope of opinion formation: a model
EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge
Weakly Supervised Tracklet Person Re-Identification by Deep Feature-wise Mutual Learning
Representative volume elements for matrix-inclusion composites - a computational study on periodizing the ensemble
Unique Sense: Smart Computing Prototype for Industry 4.0 Revolution with IOT and Bigdata Implementation Model
Several classes of three-weight or four-weight linear codes
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency
Towards Neural Machine Translation for Edoid Languages
Distributed Optimization over Directed Graphs with Row Stochasticity and Constraint Regularity
Cloud computing security using encryption technique
Contrastive Vision-Language Alignment Makes Efficient Instruction Learner
Dirichlet-Neumann learning algorithm for solving elliptic interface problems
LEAP: Enhancing Vision-Based Occupancy Networks with Lightweight Spatio-Temporal Correlation
On the Preservation of Africa's Cultural Heritage in the Age of Artificial Intelligence
Surrogate-based variational data assimilation for tidal modelling
Can foundation models actively gather information in interactive environments to test hypotheses?
Ordered Dags: HypercubeSort
Optimal Immunization Policy Using Dynamic Programming
MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE
AAMDM: Accelerated Auto-regressive Motion Diffusion Model
Fixing the problems of deep neural networks will require better training data and learning algorithms
Modules and Logic Programming
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems
Four-Step Approach Model of Inspection (FAMI) for Effective Defect Management in Software Development
DCPO: Dynamic Clipping Policy Optimization
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras
Cross-domain Learning Framework for Tracking Users in RIS-aided Multi-band ISAC Systems with Sparse Labeled Data
GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference
Investigating the Applicability of a Snapshot Computed Tomography Imaging Spectrometer for the Prediction of Brix and pH of Grapes
Overhead-Optimized Gamma Network Codes
Differentiable Diffusion for Dense Depth Estimation from Multi-view Images
Prompt Tuning on Graph-augmented Low-resource Text Classification
Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
Dynamic Search - Optimizing the Game of Information Seeking
A Distributed Trust Management Framework for Detecting Malicious Packet Dropping Nodes in a Mobile Ad Hoc Network
ASC-SW: Atrous strip convolution network with sliding windows for visual-assisted map navigation
BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition
A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models
Continuous Patient Monitoring with AI: Real-Time Analysis of Video in Hospital Care Settings
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network
Unified all-atom molecule generation with neural fields
Continuous Social Networks
Classification and reconstruction of optical quantum states with deep neural networks
Translational Aperiodic Sets of 7 Polyominoes
Digitizing Legacy Documents: A Knowledge-Base Preservation Project
Diffusion Model-based Incentive Mechanism with Prospect Theory for Edge AIGC Services in 6G IoT
ALS Storage Ring RF Control System Upgrade Plan and Status
A game-theoretic approach to indistinguishability of winning objectives as user privacy
Detecting Building Changes with Off-Nadir Aerial Images
Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions
Action Deviation-Aware Inference for Low-Latency Wireless Robots
Synthese des Controleurs Optimaux pour les Systemes a Evenements Discrets
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications
Classical Shadows with Noise
CBC Approach for Evaluating Potential SaaS on the Cloud
Spectral methods on a triangle and W-systems
MARS: Meta-Learning as Score Matching in the Function Space
Control Lyapunov Functions for Compliant Hybrid Zero Dynamic Walking
LLMs and the Human Condition
A Lightweight McEliece Cryptosystem Co-processor Design
Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models
Hierarchical Quickest Change Detection via Surrogates
CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
A regularization-based approach for unsupervised image segmentation
High-Energy-First (HEF) Heuristic for Energy-Efficient Target Coverage Problem
Scaling Patterns in Adversarial Alignment: Evidence from Multi-LLM Jailbreak Experiments
Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering
GAN Inversion for Consistent Video Interpolation and Manipulation
Optimizing Cost, Delay, Packet Loss and Network Load in AODV Routing Protocol
Creating a Discipline-specific Commons for Infectious Disease Epidemiology
Non-Volatile Memory Accelerated Posterior Estimation
Friendship Paradox Biases Perceptions in Directed Networks
Do Large Language Models with Reasoning and Acting Meet the Needs of Task-Oriented Dialogue?
Gauging the Competition: Understanding Social Comparison and Anxiety through Eye-tracking in Virtual Reality Group Interview
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
Generalized Nested Rollout Policy Adaptation with Limited Repetitions
On the efficiency of a posteriori error estimators for parabolic partial differential equations in the energy norm
Ties Matter: Modifying Kendall's Tau for Modern Metric Meta-Evaluation
Conditional and Unique Coloring of Graphs (revised resubmission)
Science Mapping to study academic knowledge circulation
Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts
Computer vision system to count crustacean larvae
Complexity of Inexact Proximal Newton methods
Finding and Solving Contradictions of False Positives in Virus Scanning
Recent Activities of a European Union Joint Research Project on Metrology for Emerging Wireless Standards
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory
Solution for Point Tracking Task of ECCV 2nd Perception Test Challenge 2024
Closed Form Variational Objectives For Bayesian Neural Networks with a Single Hidden Layer
Unbiased gradient estimation in queueing networks with parameter-dependent routing
Weakly Supervised Fine-Grained Image Categorization
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes
Image Fragile Watermarking Algorithm Based on Deneighborhood Mapping
Business Mereology: Imaginative Definitions of Insourcing and Outsourcing Transformations
Linear Spaces of Meanings: the Compositional Language of VLMs
Trace-based Debloat for Java Bytecode
On Inequalities Relating the Characteristic Function and Fisher Information
Threshold q-voter model
Data Processing for the OpenGPT-X Model Family
HPVM: A Portable Virtual Instruction Set for Heterogeneous Parallel Systems
DRepMRec: A Dual Representation Learning Framework for Multimodal Recommendation
Textual Training for the Hassle-Free Removal of Unwanted Visual Data
Coherence of linear and surface data: Methodological proposal from the example of road data
Endogenous games with goals: side-payments among goal-directed artificial agents
A High-Order Accurate Meshless Method for Solution of Incompressible Fluid Flow Problems
Deep Embedded Multi-view Clustering with Collaborative Training
Boosting keyword spotting through on-device learnable user speech characteristics
Categorical semantics of a simple differential programming language
Deriving Application Level Relationships by Analysing the Run Time Behaviour of Simple and Complex SQL Queries
"See What I Imagine, Imagine What I See": Human-AI Co-Creation System for 360 ° Panoramic Video Generation in VR
Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
Approximation of viscous transport and conservative equations with one sided Lipschitz velocity fields
Cyber physical modeling of distributed resources for distribution system operations
An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection
The Weakest Failure Detector for Genuine Atomic Multicast (Extended Version)
HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer
QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models
Aggregation Languages for Moving Object and Places of Interest Data
TestSelector: Automatic Test Suite Selection for Student Projects - Extended Version
Multi-modal Embedding Fusion-based Recommender
Parameter-free implementation of the quadratic C 0 interior penalty method for the biharmonic equation
EarthMind: Towards Multi-Granular and Multi-Sensor Earth Observation with Large Multimodal Models
Penetration Testing and Legacy Systems
Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors
A Mutation Framework for Evaluating Security Analysis tools in IoT Applications
Understanding Generalization in Diffusion Models via Probability Flow Distance
Demonstrating (Hybrid) Active Logic Documents and the Ciao Prolog Playground, and an Application to Verification Tutorials
Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
When a crisis strikes: Emotion analysis and detection during COVID-19
A Synthesizability-Guided Pipeline for Materials Discovery
Multi-Record Web Page Information Extraction From News Websites
Low-rank constrained multichannel signal denoising considering channel-dependent sensitivity inspired by self-supervised learning for optical fiber sensing
The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees
Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights
On Calibrated Model Uncertainty in Deep Learning
Non-uniform time-scaling of Carnatic music transients
Nocturnal eye inspired liquid to gas phase change soft actuator with Laser-Induced-Graphene: enhanced environmental light harvesting and photothermal conversion
BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
Blackchain: Scalability for Resource-Constrained Accountable Vehicle-to-X Communication
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
Tiga: Accelerating Geo-Distributed Transactions with Synchronized Clocks [Technical Report]
Logic, Language, and Calculus
Real-time Tracking Based on Neuromrophic Vision
Improving Sparse IMU-based Motion Capture with Motion Label Smoothing
Recent Advances in Debordering Methods
Multimodal Speech Recognition with Unstructured Audio Masking
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Implementation of PFC and RCM for RoCEv2 Simulation in OMNeT++
BitMark for Infinity: Watermarking Bitwise Autoregressive Image Generative Models
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization
CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models
Scaffold-SLAM: Structured 3D Gaussians for Simultaneous Localization and Photorealistic Mapping
Out of the Black Box: Properties of deep neural networks and their applications
Efficient Distributed Auto-Differentiation
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
Validating remotely sensed biomass estimates with forest inventory data in the western US
Decoding BACnet Packets: A Large Language Model Approach for Packet Interpretation
The decentralized evolution of decentralization across fields: from Governance to Blockchain
ChapGTP, ILLC's Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation
Hyacinth6B: A large language model for Traditional Chinese
A Note on Easy and Efficient Computation of Full Abelian Periods of a Word
Power Synthesis of Maximally-Sparse Linear Arrays Radiating Shaped Patterns through a Compressive-Sensing Driven Strategy
Dynamic Dyck and Tree Edit Distance: Decompositions and Reductions to String Edit Distance
Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks
Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity
BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials
EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution
Deformable Image Registration with Multi-scale Feature Fusion from Shared Encoder, Auxiliary and Pyramid Decoders
An a posteriori error estimate for a 0D/2D coupled model
Interpolatory Approximations of PMU Data: Dimension Reduction and Pilot Selection
Cross-layer Attention Network for Fine-grained Visual Categorization
Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
Fluid Antenna Meets RIS: Random Matrix Analysis and Two-Timescale Design for Multi-User Communications
Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning
Dense Associative Memory is Robust to Adversarial Inputs
FPT Constant Approximation Algorithms for Colorful Sum of Radii
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays
Many-User Multiple Access with Random User Activity: Achievability Bounds and Efficient Schemes
Atomic Cross-Chain Swaps with Improved Space and Time Complexity
Ultra-low Power AMOLED Displays for Smart Wearable Applications: Theory and Practice
MindVote: How LLMs Predict Human Decision-Making in Social Media Polls
Entirely protecting operating systems against transient errors in space environment
Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems
Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Vehicle-to-Grid Fleet Service Provision considering Nonlinear Battery Behaviors
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
LoRaWAN Based Dynamic Noise Mapping with Machine Learning for Urban Noise Enforcement
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models
Become a better you: correlation between the change of research direction and the change of scientific performance
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning
A Study of Gradient Variance in Deep Learning
Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems
Tight products and Expansion
Universal Quantum Interconnects via Phase-Coherent Four-Wave Mixing
Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge
Provable tradeoffs in adversarially robust classification
On the Complexity of the Decisive Problem in Simple, Regular and Weighted Games
Implicit Simulations using Messaging Protocols
Identifying treatment response subgroups in observational time-to-event data
A Robot that Counts Like a Child - a Developmental Model of Counting and Pointing
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
MSCEKF-MIO: Magnetic-Inertial Odometry Based on Multi-State Constraint Extended Kalman Filter
Natural deduction for intuitionistic belief: proof theory and proof-theoretic semantics
What LLMs Miss in Recommendations: Bridging the Gap with Retrieval-Augmented Collaborative Signals
Leveraging RGB Images for Pre-Training of Event-Based Hand Pose Estimation
Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks
SyntEO: Synthetic Dataset Generation for Earth Observation with Deep Learning - Demonstrated for Offshore Wind Farm Detection
Characterizing and Improving Generalized Belief Propagation Algorithms on the 2D Edwards-Anderson Model
Credit Scores: Performance and Equity
Blind Mask to Improve Intelligibility of Non-Stationary Noisy Speech
q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization
Stability of fractional-order systems with Prabhakar derivatives
On Flange-based 3D Hand-Eye Calibration for Soft Robotic Tactile Welding
Causal Fuzzing for Verifying Machine Unlearning
A Comparative Study of Face Detection Algorithms for Masked Face Detection
OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation
Best Group Identification in Multi-Objective Bandits
SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation
A Compositional Framework for Preference-Aware Agents
Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation
Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation
Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining
Relay Selection for Bidirectional AF Relay Network with Outdated CSI
Data-driven prediction of tool wear using Bayesian-regularized artificial neural networks
Visualization of Nonlinear Programming for Robot Motion Planning
Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality
New Constructions of Binary Cyclic Codes with Both Relatively Large Minimum Distance and Dual Distance
Federated Recommender System with Data Valuation for E-commerce Platform
A Multi-viewpoint Outdoor Dataset for Human Action Recognition
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples
Improved Factorized Neural Transducer Model For text-only Domain Adaptation
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet
Bayesian Network Based XP Process Modelling
Robbed withdrawal
RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function
Collaborating Foundation models for Domain Generalized Semantic Segmentation
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing
Automatic Classification of Knee Rehabilitation Exercises Using a Single Inertial Sensor: a Case Study
Cluster, Classify, Regress: A General Method For Learning Discountinous Functions
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Learning Optimal Distributionally Robust Individualized Treatment Rules
CellEcoNet: Decoding the Cellular Language of Pathology with Deep Learning for Invasive Lung Adenocarcinoma Recurrence Prediction
From local averaging to emergent global behaviors: the fundamental role of network interconnections
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
Abstraction Refinement Guided by a Learnt Probabilistic Model
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction
A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos
Vertex-Unfoldings of Simplicial Polyhedra
False Data Injection Attack on Electric Vehicle-Assisted Voltage Regulation
RRWKV: Capturing Long-range Dependencies in RWKV
Online Real time Multiple Spatiotemporal Action Localisation and Prediction on a Single Platform
Object Recognition from Scientific Document based on Compartment Refinement Framework
A Comparative Analysis of Nigeria's Power Sector with and without Grid-Scale Storage: Future Implications for Emission and Renewable Energy Integration
PUZZLED: Jailbreaking LLMs through Word-Based Puzzles
Don't Just Follow MLLM Plans: Robust and Efficient Planning for Open-world Agents
Floating-Point Arithmetic on Round-to-Nearest Representations
A Restrained Paillier Cryptosystem and Its Applications for Access Control of Common Secret
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection
Ultrasound-Guided Assistive Robots for Scoliosis Assessment with Optimization-based Control and Variable Impedance
Electron flow matching for generative reaction mechanism prediction obeying conservation laws
ZoDIAC: Zoneout Dropout Injection Attention Calculation
Learning Estimates At The Edge Using Intermittent And Aged Measurement Updates
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs