yusuke1997/dblp-id-title huggingface dataset:
Operational Validation of Large-Language-Model Agent Social Simulation: Evidence from Voat v/technology
CCF: A Context Compression Framework for Efficient Long-Sequence Language Modeling
On the Quality of Wireless Network Connectivity
catch22: CAnonical Time-series CHaracteristics
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
DreamerV3-XP: Optimizing exploration through uncertainty estimation
Vehicle-to-grid for car sharing - A simulation study for 2030
Subquadratic Multivalued Asynchronous Byzantine Agreement WHP
Improving Residential Safety by Multiple Sensors on Multiple Nodes for Joint Emergency Detection
A drl based distributed formation control scheme with stream based collision avoidance
Separator Theorem for Minor-Free Graphs in Linear Time
Limits on Support Recovery with Probabilistic Models: An Information-Spectrum Approach
Digital Innovation in Microenterprises: Current Trends and New Research Avenues
À la recherche du sens perdu: your favourite LLM might have more to say than you can understand
The (Final) countdown
Spatial Reasoners for Continuous Variables in Any Domain
A Multi-User Perspective for Personalized Email Communities
Digital Transformation Chatbot (DTchatbot): Integrating Large Language Model-based Chatbot in Acquiring Digital Transformation Needs
Programming infinite machines
Real-Time Pill Identification for the Visually Impaired Using Deep Learning
Design of Multi-model Linear Inferential Sensors with SVM-based Switching Logic
Multi-modal curb detection and filtering
Exploring Neural Transducers for End-to-End Speech Recognition
Directional Measurements in Urban Street Canyons from Macro Rooftop Sites at 28 GHz for 90% Outdoor Coverage
Index notation of grid graphs
PROST: Physical Reasoning of Objects through Space and Time
An Algorithm to Generate Square-Free Numbers and to Compute the Moebius Function
DB-TSDF: Directional Bitmask-based Truncated Signed Distance Fields for Efficient Volumetric Mapping
Agent-Oriented Approach for Detecting and Managing Risks in Emergency Situations
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
Hypergraph Motifs and Their Extensions Beyond Binary
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis
A Call to Action for a Secure-by-Design Generative AI Paradigm
Pseudocodewords of Linear Programming Decoding of 3-Dimensional Turbo Codes
LatentLLM: Attention-Aware Joint Tensor Compression
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
Censorship in the Wild: Analyzing Web Filtering in Syria
Quasi-Perron-Frobenius property of a class of saddle point matrices
Compositional Generalization and Decomposition in Neural Program Synthesis
Plugo: a VLC Systematic Perspective of Large-scale Indoor Localization
Kernel autocovariance operators of stationary processes: Estimation and convergence
FedKLPR: Personalized Federated Learning for Person Re-Identification with Adaptive Pruning
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study
Multiple Memory Systems for Enhancing the Long-term Memory of Agent
Improving EEG based Continuous Speech Recognition
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition
Learning Flexible Heterogeneous Coordination with Capability-Aware Shared Hypernetworks
Characterizing graph-nonedge pairs with single interval Cayley configuration spaces in 3-dimensions
Optimistic Global Function Merger
Lightning: Striking the Secure Isolation on GPU Clouds with Transient Hardware Faults
287,872 Supermassive Black Holes Masses: Deep Learning Approaching Reverberation Mapping Accuracy
COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes
Model Predictive HVAC Control with Online Occupancy Model
Identification of a space varying coefficient of a linear viscoelastic string of Maxwell-Boltzman type
More Perspectives Mean Better: Underwater Target Recognition and Localization with Multimodal Data via Symbiotic Transformer and Multiview Regression
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR
Linear versus centred chromatic numbers
Orbit-Attitude Predictive Control in the Vicinity of Asteroids with In Situ Gravity Estimation
Enhancing Table Representations with LLM-powered Synthetic Data Generation
CoverUp: Coverage-Guided LLM-Based Test Generation
FedNLP: A Research Platform for Federated Learning in Natural Language Processing
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors
Segmentation of Skeletal Muscle in Thigh Dixon MRI Based on Texture Analysis
A Context-theoretic Framework for Compositionality in Distributional Semantics
Are Vision Transformer Representations Semantically Meaningful? A Case Study in Medical Imaging
On the intersection of additive perfect codes
Optimized Contact Plan Design for Reflector and Phased Array Terminals in Cislunar Space Networks
Shifted Composition IV: Underdamped Langevin and Numerical Discretizations with Partial Acceleration
Biometric verification of humans by means of hand geometry
Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Efficient and Flexible Differet-Radix Montgomery Modular Multiplication for Hardware Implementation
Cascade Detector Analysis and Application to Biomedical Microscopy
Designing social networks for efficient learning
What Are You Looking at? Detecting Human Intention in Gaze based Human-Robot Interaction
STEP: Spatial-Temporal Network Security Event Prediction
Quadratic Gaussian Privacy Games
On the Feasibility of Fully AI-automated Vishing Attacks
Synthetic Dataset Generation for Adversarial Machine Learning Research
On the stepwise nature of self-supervised learning
Sounderfeit: Cloning a Physical Model using a Conditional Adversarial Autoencoder
Symmetries in Sorting
EF1 Allocations for Identical Trilean and Separable Single-Peaked Valuations
Analysis of Political Party Twitter Accounts' Retweeters During Japan's 2017 Election
On the complexity of learning a language: An improvement of Block's algorithm
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification
When Bots Take Over the Stock Market: Evasion Attacks Against Algorithmic Traders
Integrating Uncertainty-Aware Human Motion Prediction into Graph-Based Manipulator Motion Planning
Heterogeneous SIS model for directed networks and optimal immunization
Identity-Aware Semi-Supervised Learning for Comic Character Re-Identification
Escaping Prisoner's Dilemmas: From Discord to Harmony in the Landscape of 2x2 Games
Beyond Isolation: Towards an Interactionist Perspective on Human Cognitive Bias and AI Bias
Clustering Label Inference Attack against Practical Split Learning
Distributed Gauss-Newton Method for AC State Estimation: A Belief Propagation Approach
Temporal Overbooking of Lambda Functions in the Cloud
Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation
Achievable Rate Regions for Two-Way Relay Channel using Nested Lattice Coding
Robust cooperative synchronization of homogeneous agents with delays on directed communication graphs
ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis
FedHP: Heterogeneous Federated Learning with Privacy-preserving
PyLO: Towards Accessible Learned Optimizers in PyTorch
Turnstile ℓ p leverage score sampling with applications
A Modular Approach for Multilingual Timex Detection and Normalization using Deep Learning and Grammar-based methods
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification
COVID-19 Status Forecasting Using New Viral variants and Vaccination Effectiveness Models
Multi-armed Bandit Problem with Known Trend
Interactive GIS Web-Atlas for Twelve Pacific Islands Countries
Technical Report for "User-Centric Participatory Sensing: A Game Theoretic Analysis"
Human Expression Recognition using Facial Shape Based Fourier Descriptors Fusion
Design and Implementation of TAG: A Tabletop Games Framework
Enhanced Secure Algorithm for Message Communion
A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images
Modeling influenza-like illnesses through composite compartmental models
Microstructure-Empowered Stock Factor Extraction and Utilization
Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function
Accelerator-level Parallelism
The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
Research Quality, Fairness, and Authorship Order
Cost-Sensitive Learning for Predictive Maintenance
Attention based Broadly Self-guided Network for Low light Image Enhancement
F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration
Faster PAC Learning and Smaller Coresets via Smoothed Analysis
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer
Utility-Preserving Differentially Private Data Releases Via Individual Ranking Microaggregation
DaSAThco: Data-Aware SAT Heuristics Combinations Optimization via Large Language Models
Ontologies in System Engineering: a Field Report
Computing with Hypervectors for Efficient Speaker Identification
What's Really Different with AI? - A Behavior-based Perspective on System Safety for Automated Driving Systems
Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination
Straggler-aware Distributed Learning: Communication Computation Latency Trade-off
Late fusion ensembles for speech recognition on diverse input audio representations
GeoSES - um Índice Socioeconômico para Estudos de Saúde no Brasil
Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation
Strategy elimination in games with interaction structures
PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization
Non-Interlaced SAT is in P
Decision-Theoretic Coordination and Control for Active Multi-Camera Surveillance in Uncertain, Partially Observable Environments
A hyperbolic finite difference scheme for anisotropic diffusion equations: preserving the discrete maximum principle
Personality Vector: Modulating Personality of Large Language Models by Model Merging
Attend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation
Subdivision-Based Mesh Convolution Networks
A Novel DeBERTa-based Model for Financial Question Answering Task
Cycles of weight divisible by k
A New Cyclic Gradient Method Adapted to Large-Scale Linear Systems
Evolutionary Dynamics Based on Reputation in Networked Populations with Game Transitions
Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs
Scene Text Recognition with Semantics
STAF: 3D Human Mesh Recovery from Video with Spatio-Temporal Alignment Fusion
Exact Resource Allocation over Fair Wireless Relay Networks
Towards Bridging IoT and Cloud Services: Proposing Smartphones as Mobile and Autonomic Service Gateways
Spatial modeling of mental health on outpatient morbidity in Kenya
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
AuthenTree: A Scalable MPC-Based Distributed Trust Architecture for Chiplet-based Heterogeneous Systems
Stable Feature Selection for Biomarker Discovery
Backhaul-Aware Placement of a UAV-BS with Bandwidth Allocation for User-Centric Operation and Profit Maximization
A Machine Learning Approach for Multiscale Modeling of the Facet Capsular Ligament
Control Flow Analysis for SF Combinator Calculus
Leveraging Hidden Structure in Self-Supervised Learning
Model Reduction of Linear Switched Systems by Restricting Discrete Dynamics
Towards understanding epoch-wise double descent in two-layer linear neural networks
CF-Font: Content Fusion for Few-shot Font Generation
Multi-Output Gaussian Processes for Graph-Structured Data
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
#P- and $\oplus$P- completeness of counting roots of a sparse polynomial
User-centric Performance Optimization with Remote Radio Head Cooperation in C-RAN
ABSP System for The Third DIHARD Challenge
Performance and Optimization Abstractions for Large Scale Heterogeneous Systems in the Cactus/Chemora Framework
Algebraic Approach to Directed Rough Sets
Discontinuous Jump Behavior of the Energy Conversion in Wind Energy Systems
An Empirical Study on the Impact of Code Duplication-aware Refactoring Practices on Quality Metrics
Can Large Language Models Change User Preference Adversarially?
Machine Assistance for Credit Card Approval? Random Wheel can Recommend and Explain
A micromorphic-based artificial diffusion method for stabilized finite element approximation of convection-diffusion problems
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction
Semantic-aware Data Augmentation for Text-to-image Synthesis
PCHands: PCA-based Hand Pose Synergy Representation on Manipulators with N-DoF
Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information
High-order well-balanced finite volume schemes for hydrodynamic equations with nonlocal free energy
A Learning Approach to Secure Learning
Report: Performance comparison between C2075 and P100 GPU cards using cosmological correlation functions
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
Learning to screen Glaucoma like the ophthalmologists
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
The Cost of Perfection for Matchings in Graphs
(Un)Encrypted Computing and Indistinguishability Obfuscation
Elastic ViTs from Pretrained Models without Retraining
Human Resilience in the AI Era - What Machines Can't Replace
Leveraging Temporal Information for 3D Detection and Domain Adaptation
DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction
Good Pairs of Adjacency Relations in Arbitrary Dimensions
Leader: Prefixing a Length for Faster Word Vector Serialization
Spatial-Temporal Transformer based Video Compression Framework
Field Testing of Residential Bidirectional Electric Vehicle Charger for Power System Applications
Warped Time Series Anomaly Detection
K2-V2: A 360-Open, Reasoning-Enhanced LLM
United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Tasks
Swarm-Net: Firmware Attestation in IoT Swarms using Graph Neural Networks and Volatile Memory
Incorporating Experts' Judgment into Machine Learning Models
Solving the Heilbronn Triangle Problem using Global Optimization Methods
Patchnet: Interpretable Neural Networks for Image Classification
Measuring Harmful Representations in Scandinavian Language Models
End-to-End Multi-Task Deep Learning and Model Based Control Algorithm for Autonomous Driving
Position: Stop Acting Like Language Model Agents Are Normal Agents
GreenhouseSplat: A Dataset of Photorealistic Greenhouse Simulations for Mobile Robotics
Pressure stabilization strategies for a LES filtering Reduced Order Model
Probably Correct Optimal Stable Matching for Two-Sided Markets Under Uncertainty
NNrepair: Constraint-based Repair of Neural Network Classifiers
A Deep Neural Network to identify foreshocks in real time
Sketch Recognition using Domain Classification
Leveraging GANs to Improve Continuous Path Keyboard Input Models
Reliable Vertical Ground Reaction Force Estimation with Smart Insole During Walking
UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function
Vanishing Nodes: Another Phenomenon That Makes Training Deep Neural Networks Difficult
Transfer Learning for Power Outage Detection Task with Limited Training Data
Faster algorithm for counting of the integer points number in Δ-modular polyhedra
Multi-Agent Generalized Recursive Reasoning
Robustness of Model Predictions under Extension
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression
Semi-Myopic Sensing Plans for Value Optimization
WorldGUI: Dynamic Testing for Comprehensive Desktop GUI Automation
TransGUNet: Transformer Meets Graph-based Skip Connection for Medical Image Segmentation
Centralized and Distributed Intrusion Detection for Resource Constrained Wireless SDN Networks
Deep learning-based holographic polarization microscopy
Workspace optimization of 1T2R parallel manipulators with a dimensionally homogeneous constraint-embedded Jacobian
No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction
Segmentation-Aware and Adaptive Iris Recognition
OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
OLALA: Object-Level Active Learning Based Layout Annotation
Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech
The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships?
Improved Robust ASR for Social Robots in Public Spaces
Depth optimization of CZ, CNOT, and Clifford circuits
Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection
Unsupervised Generative 3D Shape Learning from Natural Images
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning
Benchmarking Clinical Decision Support Search
VDMN: A Graphical Notation for Modelling Value Driver Trees
Signcryption scheme based on schnorr digital signature
Forecasting-Based Biomedical Time-series Data Synthesis for Open Data and Robust AI
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System
Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction
Characterizing Discourse about COVID-19 Vaccines: A Reddit Version of the Pandemic Story
Group Inertial Poser: Multi-Person Pose and Global Translation from Sparse Inertial Sensors and Ultra-Wideband Ranging
Multi-Objective Hyperparameter Optimization - An Overview
Introducing languid particle dynamics to a selection of PSO variants
A Social Network Approach to Analyzing Token Properties and Abnormal Events in Decentralized Exchanges
Learning Mixtures of Ising Models using Pseudolikelihood
Design of an Encryption-Decryption Module Oriented for Internet Information Security SOC Design
VerificAgent: Integrating Expert Knowledge and Fact-Checked Memory for Robust Domain-Specific Task Planning
The Reflexive Integrated Information Unit: A Differentiable Primitive for Artificial Consciousness
From External to Swap Regret 2.0: An Efficient Reduction and Oblivious Adversary for Large Action Spaces
DRLinSPH: An open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems
Constructing Embedded Lattice-based Algorithms for Multivariate Function Approximation with a Composite Number of Points
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks
A Letter on Progress Made on Husky Carbon: A Legged-Aerial, Multi-modal Platform
Report on the NSF Workshop on Sustainable Computing for Sustainability (NSF WSCS 2024)
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
Low power communication signal enhancement method of Internet of things based on nonlocal mean denoising
ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification
Extension of the Gyárfás-Sumner conjecture to signed graphs
Max-Min Fairness in Stacked Intelligent Metasurface-Aided Rate Splitting Networks
Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models
DriveGazen: Event-Based Driving Status Recognition using Conventional Camera
Speech-Guided Sequential Planning for Autonomous Navigation using Large Language Model Meta AI 3 (Llama3)
PiRL: Participant-Invariant Representation Learning for Healthcare
Machining feature recognition using descriptors with range constraints for mechanical 3D models
MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
Enhancing GAN-Based Vocoders with Contrastive Learning Under Data-limited Condition
Consensus Needs Broadcast in Noiseless Models but can be Exponentially Easier in the Presence of Noise
Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques
Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model
Deep Anomaly Detection and Search via Reinforcement Learning
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
Black-box Adversarial Attacks with Bayesian Optimization
Neural Entropic Estimation: A faster path to mutual information estimation
Strictly Monotone Brouwer Trees for Well-founded Recursion Over Multiple Arguments
Rise of Generative Artificial Intelligence in Science
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results
Anomaly detection using Diffusion-based methods
Avast-CTU Public CAPE Dataset
What Do You Need for Diverse Trajectory Stitching in Diffusion Planning?
EV-NVC: Efficient Variable bitrate Neural Video Compression
AUC Optimisation and Collaborative Filtering
Decentralized Non-Convex Learning with Linearly Coupled Constraints
Design of Convolutional Extreme Learning Machines for Vision-Based Navigation Around Small Bodies
Fragmentation transitions in multi-state voter models
Enhancing Image Matting in Real-World Scenes with Mask-Guided Iterative Refinement
V2E: From video frames to realistic DVS event camera streams
Cellular-X: An LLM-empowered Cellular Agent for Efficient Base Station Operations
Predictive data assimilation through Reduced Order Modeling for epidemics with data uncertainty
Exploring the Underwater World Segmentation without Extra Training
Test-time Unsupervised Domain Adaptation
Calculational HoTT
Leveraging Large Language Models (LLMs) for Process Mining (Technical Report)
A Note on "Efficient Algorithms for Secure Outsourcing of Bilinear Pairings"
A Collaborative Model-driven Network for MRI Reconstruction
Multi-Density Attention Network for Loop Filtering in Video Compression
A priori error analysis of consistent PINNs for parabolic PDEs
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation
CyNetDiff - A Python Library for Accelerated Implementation of Network Diffusion Models
Energy-Efficient Naming in Beeping Networks
Location-based Twitter Filtering for the Creation of Low-Resource Language Datasets in Indonesian Local Languages
Understanding deep features with computer-generated imagery
LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation
Single image dehazing via combining the prior knowledge and CNNs
ExeKGLib: A Platform for Machine Learning Analytics based on Knowledge Graphs
Crowd Size using CommSense Instrument for COVID-19 Echo Period