yusuke1997/dblp-id-title huggingface dataset:
The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries
ELPG-DTFS: Prior-Guided Adaptive Time-Frequency Graph Neural Network for EEG Depression Diagnosis
Influential spreaders for recurrent epidemics on networks
PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting
Embedding bifurcations into pneumatic artificial muscle
On the consistency of Multithreshold Entropy Linear Classifier
Win-Move is Coordination-Free (Sometimes)
Reduced-Communication Diffusion LMS Strategy for Adaptive Distributed Estimation
Pincer-based vs. Same-direction Search Strategies After Smart Evaders by Swarms of Agents
Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks
Real-world attack on MTCNN face detection system
Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT
Cost-Efficient Data Backup for Data Center Networks against ε-Time Early Warning Disaster
Automatic Generation of Proof Tactics for Finite-Valued Logics
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages
Training Data for Large Language Model
Google in a Quantum Network
Reconstructing facade details using MLS point clouds and Bag-of-Words approach
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers
On the Optimality of Trees Generated by ID3
Towards a Comparative Framework for Compositional AI Models
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
Stable coresets: Unleashing the power of uniform sampling
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
Performance Analysis and Comparison of Distributed Machine Learning Systems
PoseViNet: Distracted Driver Action Recognition Framework Using Multi-View Pose Estimation and Vision Transformer
Digraph Colouring and Arc-Connectivity
Many-to-one Recurrent Neural Network for Session-based Recommendation
Adapting Small Language Models to Low-Resource Domains: A Case Study in Hindi Tourism QA
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning
A Bayesian model of information cascades
Multilingual MFA: Forced Alignment on Low-Resource Related Languages
Two 6-approximation Algorithms for the Stochastic Score Classification Problem
Incompressibility of H-free edge modification problems: Towards a dichotomy
Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation
Computably Continuous Reinforcement-Learning Objectives are PAC-learnable
Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks
Advancing Beyond Identification: Multi-bit Watermark for Language Models
Blockchain mechanism and distributional characteristics of cryptos
Reliable OFDM Transmission with Ultra-Low Resolution ADC
Video-based Person Re-identification with Accumulative Motion Context
Universal Debiased Editing on Foundation Models for Fair Medical Image Classification
Perception and Control of Surfing in Virtual Reality using a 6-DoF Motion Platform
An Extended Framework for Measuring the Information Capacity of the Human Motor System
Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation
Less can be more: Insights on the role of electrode microstructure in redox flow batteries from 2D direct numerical simulations
New Bounds for Restricted Isometry Constants
Using Drone Swarm to Stop Wildfire: A Predict-then-optimize Approach
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
Playing against the fittest: A simple strategy that promotes the emergence of cooperation
Blind decoding of Linear Gaussian channels with ISI, capacity, error exponent, universality
Performance evaluation of Machine learning algorithms for Intrusion Detection System
Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space
Improving Named Entity Transcription with Contextual LLM-based Revision
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
Exploring Cybersecurity Issues in 5G Enabled Electric Vehicle Charging Station with Deep Learning
A Multi-Modal Machine Learning Approach to Detect Extreme Rainfall Events in Sicily
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
Elastic Routing in Wireless Ad Hoc Networks With Directional Antennas
Temporal Landscapes: A Graphical Logic of Behavior
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention
Reconstruction of muon bundles in KM3NeT detectors using machine learning methods
MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization
Evaluating Polish linguistic and cultural competency in large language models
Systematic Solutions to Login and Authentication Security: A Dual-Password Login-Authentication Mechanism
Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
Observing a Moving Target - Reliable Transmission of Debug Logs from Embedded Mobile Devices
NEOLAF, an LLM-powered neural-symbolic cognitive architecture
Flexible Multibody System Linear Modeling for Control using Component Modes Synthesis and Double-Port Approach
Unbiased Library of k-regular, n-sized, Connected, Small Graphs
Improved Type III solar radio burst detection using congruent deep learning models
A combined Lax-Wendroff/interpolation approach with finite element method for a three-dimensional system of tectonic deformation model: application to landslides in Cameroon
Axisymmetric Virtual Elements For Problems of Elasticity and Plasticity
Culture-to-Culture Image Translation with Generative Adversarial Networks
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Satisfiability of Arbitrary Public Announcement Logic with Common Knowledge is Σ 1 1 -hard
Development of a Novel Impedance-Controlled Quasi-Direct-Drive Robot Hand
Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts
Semantic Information Marketing in The Metaverse: A Learning-Based Contract Theory Framework
An Empirical Study of Ownership, Typestate, and Assets in the Obsidian Smart Contract Language
CodeCSE: A Simple Multilingual Model for Code and Comment Sentence Embeddings
Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning
Multiply Periodic Splines
Ds-bounds for cyclic codes: new bounds for abelian codes
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance
Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation
APE-Bench I: Towards File-level Automated Proof Engineering of Formal Math Libraries
Physics-Guided Null-Space Diffusion with Sparse Masking for Corrective Sparse-View CT Reconstruction
Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks
An Optimal Algorithm for the Separating Common Tangents of two Polygons
An Ensemble Model with Ranking for Social Dialogue
Code Failure Prediction and Pattern Extraction using LSTM Networks
Bidding efficiently in Simultaneous Ascending Auctions with incomplete information using Monte Carlo Tree Search and determinization
Testing Binomiality of Chemical Reaction Networks Using Comprehensive Gröbner System
Relevant Feature Selection Model Using Data Mining for Intrusion Detection System
DreamPose3D: Hallucinative Diffusion with Prompt Learning for 3D Human Pose Estimation
Towards a General-Purpose Belief Maintenance System
Approximation Algorithm for Non-Boolean MAX k-CSP
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Mind the Dark: A Gamified Exploration of Deceptive Design Awareness for Children in the Digital Age
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms
Modeling Rabbit-Holes on YouTube
The challenges and realities of retailing in a COVID-19 world: Identifying trending and Vital During Crisis keywords during Covid-19 using Machine Learning (Austria as a case study)
Improving Development Practices through Experimentation: an Industrial TDD Case
Design of JiuTian Intelligent Network Simulation Platform
On religion and language evolutions seen through mathematical and agent based models
A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
Weighted Shortest Path Models: A Revisit to the Simulation of Internet Routing
Low-cost photoplethysmograph solutions using the Raspberry Pi
Estimating the number and effect sizes of non-null hypotheses
Using Association Rules for Better Treatment of Missing Values
Iranis: A Large-scale Dataset of Farsi License Plate Characters
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection
PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study
Bringing A Robot Simulator to the SCAMP Vision System
Metrics Induced by Quantum Jensen-Shannon-Renyí and Related Divergences
Spatial analysis of U.S. Supreme Court 5-to-4 decisions
Deep Decentralized Reinforcement Learning for Cooperative Control
MSLE: An ontology for Materials Science Laboratory Equipment. Large-Scale Devices for Materials Characterization
3D Equivariant Visuomotor Policy Learning via Spherical Projection
CountCLIP - [Re] Teaching CLIP to Count to Ten
Queueing with Future Information
Cutting a Cake Is Not Always a "Piece of Cake": A Closer Look at the Foundations of Cake-Cutting Through the Lens of Measure Theory
Gabor frames and deep scattering networks in audio processing
Multispectral LiDAR data for extracting tree points in urban and suburban areas
Extending Machine Learning Based RF Coverage Predictions to 3D
Immutable Autobiography of Smart Cars
k-SUM Hardness Implies Treewidth-SETH
Low-Complexity Permutational Index Modulation for Noncoherent Massive SIMO Communications
Carotid Artery Plaque Analysis in 3D Based on Distance Encoding in Mesh Representations
A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies
Strengthening Hardness Results to 3-Connected Planar Graphs
Near-Field Codebook-Based 3D Spherical Channel Estimation for UCA XL-MIMO Systems
A graph theoretical Poincare-Hopf Theorem
NPSVC++: Nonparallel Classifiers Encounter Representation Learning
Modular Algorithms For Computing Gröbner Bases in Free Algebras
Acoustic singular surfaces in an exponential class of inhomogeneous gases: A new numerical approach based on Krylov subspace spectral methodologies
A Faster Local Algorithm for Detecting Bounded-Size Cuts with Applications to Higher-Connectivity Problems
Online Searching with Turn Cost
UAV-assisted Internet of Vehicles: A Framework Empowered by Reinforcement Learning and Blockchain
IANUS: an FPGA-based System for High Performance Scientific Computing
Non-Local Multi-Continuum method (NLMC) for Darcy-Forchheimer flow in fractured media
Generic Instance Search and Re-identification from One Example via Attributes and Categories
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
A parallel in time algorithm based ParaExp for optimal control problems
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Numerical Algorithmic Science and Engineering within Computer Science: Rationale, Foundations and Organization
LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching
Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel-Softmax method
Do Bayesian imaging methods report trustworthy probabilities?
An Approximation Algorithm for the Euclidean Bottleneck Steiner Tree Problem
Finger Biometric Recognition With Feature Selection
Machine learning moment closure models for the radiative transfer equation II: enforcing global hyperbolicity in gradient based closures
A Hessian-Aware Stochastic Differential Equation for Modelling SGD
Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes
Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks with Double Dynamics
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network
Robust Blind Source Separation by Soft Decision-Directed Non-Unitary Joint Diagonalization
The Journey to Trustworthy AI- Part 1: Pursuit of Pragmatic Frameworks
BinCtx: Multi-Modal Representation Learning for Robust Android App Behavior Detection
CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design
Introducing Certified Compilation in Education by a Functional Language Approach
Domain-Aware Cross-Attention for Cross-domain Recommendation
First-Order Bayesian Network Specifications Capture the Complexity Class PP
Zero-Trust Network Access (ZTNA)
On First-order Cons-free Term Rewriting and PTIME
Bayesian Reinforcement Learning with Limited Cognitive Load
Practical Spoofing Attacks on Galileo Open Service Navigation Message Authentication
A Survey on Small-Area Planar Graph Drawing
CPOT: Channel Pruning via Optimal Transport
A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems
Based on Data Balancing and Model Improvement for Multi-Label Sentiment Classification Performance Enhancement
Beyond Simple Fusion: Adaptive Gated Fusion for Robust Multimodal Sentiment Analysis
SWE-Bench-CL: Continual Learning for Coding Agents
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation
Fully Distributed Online Training of Graph Neural Networks in Networked Systems
Moderate Environmental Variation Promotes Adaptation in Artificial Evolution
EEG-Based Analysis of Brain Responses in Multi-Modal Human-Robot Interaction: Modulating Engagement
Deep Layered Learning in MIR
Computational optimization of convolutional neural networks using separated filters architecture
Deterministic Weighted Automata under Partial Observability
Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis
Theoretical Bounds for Noise Filtration using Low-Rank Tensor Approximations
The MAC Resolvability Region, Semantic Security and Its Operational Implications
A Survey on Visual Transfer Learning using Knowledge Graphs
Modular Pipe Climber
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery
Bayesian Inference with Generative Adversarial Network Priors
Bridging Language Barriers in Healthcare: A Study on Arabic LLMs
On the Analysis of Puncturing for Finite-Length Polar Codes: Boolean Function Approach
Class-wise Activation Unravelling the Engima of Deep Double Descent
Note on quasi-optimal error estimates for the pressure for shear-thickening fluids
Sufficient Explanations in Databases and their Connections to Necessary Explanations and Repairs
CMD: A Cache-assisted GPU Memory Deduplication Architecture
RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
Inferring Room Semantics Using Acoustic Monitoring
Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
Reinforcement Learning for LLM Reasoning Under Memory Constraints
Improving Large-scale Deep Biasing with Phoneme Features and Text-only Data in Streaming Transducer
An Interpretable Determinantal Choice Model for Subset Selection
SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption
UniVCD: A New Method for Unsupervised Change Detection in the Open-Vocabulary Era
Low-Power Random Access for Timely Status Update: Packet-based or Connection-based?
Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation
MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection
Dataset Size Dependence of Rate-Distortion Curve and Threshold of Posterior Collapse in Linear VAE
A generalization of heterochromatic graphs
Multi-Interactive-Modality based Modeling for Myopia Pro-Gression of Adolescent Student
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
openCFS: Open Source Finite Element Software for Coupled Field Simulation - Part Acoustics
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning
Best-case and Worst-case Sparsifiability of Boolean CSPs
Collaboration on reference to objects that are not mutually known
Sniffing Multi-hop Multi-channel Wireless Sensor Networks
Shortest Odd Paths in Conservative Graphs: Connections and Complexity
Anomaly Detection in Images
Input/Output Deep Architecture for Structured Output Problems
Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning
Catalyst GFlowNet for electrocatalyst design: A hydrogen evolution reaction case study
Jupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community
Neural NID Rules
An accurate detection is not all you need to combat label noise in web-noisy datasets
Unraveling the Origin of Social Bursts in Collective Attention
Generating Images of the M87* Black Hole Using GANs
Preserving Lagrangian structure in nonlinear model reduction with application to structural dynamics
ODAM: Gradient-based instance-specific visual explanations for object detection
In-Memory Learning: A Declarative Learning Framework for Large Language Models
Radius Adaptive Convolutional Neural Network
Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws
Traceability and Accountability in Role-Specialized Multi-Agent LLM Pipelines
The AI Definition and a Program Which Satisfies this Definition
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation
Explore the Power of Dropout on Few-shot Learning
Human-in-the-Loop: Quantitative Evaluation of 3D Models Generation by Large Language Models
Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers
TheraGen: Therapy for Every Generation
Why machines do not understand: A response to Søgaard
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach
Parallel Database Recovery for Multicore Main-Memory Databases
Knowledge Translation: Extended Technical Report
Rescaling CNN through Learnable Repetition of Network Parameters
Some Grönwall inequalities for a class of discretizations of time fractional equations on nonuniform meshes
Prompt Tuning for Zero-shot Compositional Learning
Defining and Characterizing Reward Hacking
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling
TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems
Energy-Efficient Implementation of Generative Adversarial Networks on Passive RRAM Crossbar Arrays
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List
Entropy Collapse in Mobile Sensors: The Hidden Risks of Sensor-Based Security
A Class of Trees Having Near-Best Balance
Bounds on separating redundancy
Optimized Operation of Standalone Battery Energy Storage Systems in the Cross-Market Energy Arbitrage Business
BERT-Enhanced Retrieval Tool for Homework Plagiarism Detection System
Localization from Incomplete Euclidean Distance Matrix: Performance Analysis for the SVD-MDS Approach
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction
An Interpretable Model for Scene Graph Generation
A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in Wind
Unlocking Blocked Communicating Processes
Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening
Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments
POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization
IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
A Generalization of Teo and Sethuraman's Median Stable Marriage Theorem
A modular risk concept for complex systems
When a Movement Becomes a Party: The 2015 Barcelona City Council Election
Towards Real-World Blind Face Restoration with Generative Diffusion Prior
CENSUS-HWR: a large training dataset for offline handwriting recognition
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation
Attention is All You Need Until You Need Retention
Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding
Filter sharing: Efficient learning of parameters for volumetric convolutions
A Bayesian Approach to Probabilistic Solar Irradiance Forecasting
GQM+Strategies: A Comprehensive Methodology for Aligning Business Strategies with Software Measurement
PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing
Pretraining with random noise for uncertainty calibration
Comparative of Genetic Fuzzy regression techniques for aeroacoustic phenomenons
What Do Adversarially Robust Models Look At?
Machine learning in physics: a short guide
Towards blind user's indoor navigation: a comparative study of beacons and decawave for indoor accurate location
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining
MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
Reward Models Can Improve Themselves: Reward-Guided Adversarial Failure Mode Discovery for Robust Reward Modeling
Quantum Channel Capacities
SEED-Story: Multimodal Long Story Generation with Large Language Model
Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting
Games played by Exponential Weights Algorithms
Unsupervised Writer Retrieval using NetRVLAD and Graph Similarity Reranking
NetQASM - A low-level instruction set architecture for hybrid quantum-classical programs in a quantum internet
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
On the Tractability of Minimal Model Computation for Some CNF Theories
REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer setting
Distilling Desired Comments for Enhanced Code Review with Large Language Models
Datom: A Deformable modular robot for building self-reconfigurable programmable matter
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
Vanishing Component Analysis with Contrastive Normalization