yusuke1997/dblp-id-title huggingface dataset:
A Trust-based Framework for Congestion-aware Energy Efficient Routing in Wireless Multimedia Sensor Networks
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
Convergence rates for pretraining and dropout: Guiding learning parameters using network structure
Nonlinear Schwarz preconditioning for nonlinear optimization problems with bound constraints
Adversarially Optimizing Intersection over Union for Object Localization Tasks
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction
The Energy Worker Profiler from Technologies to Skills to Realize Energy Efficiency in Manufacturing
Computational Sociology of Humans and Machines; Conflict and Collaboration
Visual Detector Compression via Location-Aware Discriminant Analysis
Multi-Agent Pose Uncertainty: A Differentiable Rendering Cramér-Rao Bound
Peer Selection with Noisy Assessments
A Simple Proof of Optimal Approximations
Blind Adversarial Network Perturbations
A hybrid Hermitian general eigenvalue solver
A Proactive Connection Setup Mechanism for Large Quantum Networks
Linear Beamforming for the Spatially Correlated MISO broadcast channel
Projective Delineability for Single Cell Construction
A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation
HRL-TSCH: A Hierarchical Reinforcement Learning-based TSCH Scheduler for IIoT
Design and Control of a Coaxial Dual-rotor Reconfigurable Tailsitter UAV Based on Swashplateless Mechanism
Self-replication and Computational Universality
A Framework for Prefetching Relevant Web Pages using Predictive Prefetching Engine (PPE)
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
Scalable load balancing in networked systems: A survey of recent advances
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing
Tesserae: Scalable Placement Policies for Deep Learning Workloads
Decoupling Geometry from Optimization in 2D Irregular Cutting and Packing Problems: an Open-Source Collision Detection Engine
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective
Comparing the latent features of universal machine-learning interatomic potentials
Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps
Hate Cannot Drive out Hate: Forecasting Conversation Incivility following Replies to Hate Speech
Describing Multimedia Content using Attention-based Encoder-Decoder Networks
Street Crossing Aid Using Light-weight CNNs for the Visually Impaired
Queueing Stability and CSI Probing of a TDD Wireless Network with Interference Alignment
From parameter calibration to parameter learning: Revolutionizing large-scale geoscientific modeling with big data
What do they know about me? Contents and Concerns of Online Behavioral Profiles
AI4GCC - Team: Below Sea Level: Critiques and Improvements
Ranking of Bangla Word Graph using Graph-based Ranking Algorithms
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation
Proof Search in Hajek's Basic Logic
Classification of sums of complex exponentials
DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove
Local Distance Metric Learning for Nearest Neighbor Algorithm
Empirical Study of Straggler Problem in Parameter Server on Iterative Convergent Distributed Machine Learning
Symmetry Structured Convolutional Neural Networks
HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution
OpenTable data with multi-criteria ratings
Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs
Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning
HiER: Highlight Experience Replay and Easy2Hard Curriculum Learning for Boosting Off-Policy Reinforcement Learning Agents
Deep Learning for Hydroelectric Optimization: Generating Long-Term River Discharge Scenarios with Ensemble Forecasts from Global Circulation Models
Three-Stream Fusion Network for First-Person Interaction Recognition
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Nonlinearly Stable Real-Time Learning and Model-Free Control
On the Approximability of Independent Set Problem on Power Law Graphs
Robust Outlier Detection Method Based on Local Entropy and Global Density
LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages
Multi-Scale Recursive and Perception-Distortion Controllable Image Super-Resolution
LLM4DESIGN: An Automated Multi-Modal System for Architectural and Environmental Design
Markov flow policy - deep MC
MemVerse: Multimodal Memory for Lifelong Learning Agents
SNF: Filter Pruning via Searching the Proper Number of Filters
Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
Subjective and Objective Quality Assessment of Image: A Survey
Evaluating SAM2 for Video Semantic Segmentation
Branched Multi-Task Networks: Deciding What Layers To Share
Forecasting Solar Activity with Two Computational Intelligence Models (A Comparative Study)
Agents in Software Engineering: Survey, Landscape, and Vision
Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping
Few-Shot Unsupervised Image-to-Image Translation on complex scenes
InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarios
AI-driven View Guidance System in Intra-cardiac Echocardiography Imaging
Asymmetry in interdependence makes a multilayer system more robust against cascading failures
Multi-Step Prediction and Control of Hierarchical Emotion Distribution in Text-to-Speech Synthesis
A Framework to Model ML Engineering Processes
Estimation of sparse polynomial approximation error to continuous function
A Method to Calculate the Exit Time in Stochastic Simulations
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
Scattering Transformer: A Training-Free Transformer Architecture for Heart Murmur Detection
Studying Invariances of Trained Convolutional Neural Networks
Measuring Language Model Hallucinations Through Distributional Correctness
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
Using ChatGPT for Thematic Analysis
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Bayesian Entropy Estimation for Countable Discrete Distributions
Earthquake Impact Analysis Based on Text Mining and Social Media Analytics
On the use of homomorphic encryption to secure cloud computing, services, and routing protocols
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions
A Statistical Mixture-of-Experts Framework for EMG Artifact Removal in EEG: Empirical Insights and a Proof-of-Concept Application
Curse of Dimensionality in Pivot-based Indexes
Essentials of Petri nets
The E.U.'s Artificial Intelligence Act: An Ordoliberal Assessment
Operationalizing AI in Future Networks: A Bird's Eye View from the System Perspective
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
Coordination Games on Graphs
I'd Rather Stay Stupid: The Advantage of Having Low Utility
IoT based Smart Access Controlled Secure Smart City Architecture Using Blockchain
Decentralized Riemannian natural gradient methods with Kronecker-product approximations
Cryptanalysis of a New Knapsack Type Public-Key Cryptosystem
Numerical convergence and stability analysis for a nonlinear mathematical model of prostate cancer
An alternative formulation of attention pooling function in translation
Chosen methods of improving object recognition of small objects with weak recognizable features
Compact Representation of Photosynthesis Dynamics by Rule-based Models (Full Version)
The Sum Rate of Vector Gaussian Multiple Description Coding with Tree-Structured Covariance Distortion Constraints
A smart fridge with AI-enabled food computing
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
Designing and Evaluating Scalable Privacy Awareness and Control User Interfaces for Mixed Reality
Resource Allocation in Multigranular Optical Networks
NN-EUCLID: deep-learning hyperelasticity without stress data
What if we could hot swap our Biometrics?
Hierarchical Multi-Label Dialog Act Recognition on Spanish Data
SDQ: Sparse Decomposed Quantization for LLM Inference
CasSR: Activating Image Power for Real-World Image Super-Resolution
Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network
Enhancing Traffic Sign Recognition with Tailored Data Augmentation: Addressing Class Imbalance and Instance Scarcity
FALCON: Actively Decoupled Visuomotor Policies for Loco-Manipulation with Foundation-Model-Based Coordination
Place Recognition in Forests with Urquhart Tessellations
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
A Topology-aware Analysis of Graph Collaborative Filtering
Best Memory Architecture Exploration under Parameters Variations accelerated with Machine Learning
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents
Building Sequential Inference Models for End-to-End Response Selection
A Representation Learning Approach to Feature Drift Detection in Wireless Networks
Energy-Efficient ConvNets Through Approximate Computing
Attention, Action, and Memory: How Multi-modal Interfaces and Cognitive Load Alter Information Retention
A parabolic local problem with exponential decay of the resonance error for numerical homogenization
Derivative-based regularization for regression
Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization
SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection
Implementation of Real-Time Lane Detection on Autonomous Mobile Robot
Tight local approximation results for max-min linear programs
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution
MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments
Duality and Nonlinear Graph Laplacians
SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics
On Bounded Integer Programming
Generalized RNN beamformer for target speech separation
The Design, Analysis and Optimization of the REESSE1+ Public-key Cryptosystem
Synthesizing Dominant Strategies for Liveness (Full Version)
Coded Caching for Heterogeneous Wireless Networks with Multi-level Access
Inference of Substructured Reduced-Order Models for Dynamic Contact from Contact-free Simulations
Predicting Viral Rumors and Vulnerable Users for Infodemic Surveillance
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
Ensemble Data Assimilation for Particle-based Methods
Heuristics in Conflict Resolution
Ontology-Based Process Modelling - Will we live to see it?
GR-GAN: Gradual Refinement Text-to-image Generation
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition
Ensembling Synchronisation-based and Face-Voice Association Paradigms for Robust Active Speaker Detection in Egocentric Recordings
From Our Lab to Their Homes: Learnings from Longitudinal Field Research with Older Adults
Exploration on Real World Assets and Tokenization
A Random-Key Optimizer for Combinatorial Optimization
Multilayer Network Analysis for Improved Credit Risk Prediction
Globally Intelligent Adaptive Finite-/Fixed- Time Tracking Control for Strict-Feedback Nonlinear Systems via Composite Learning Approaches
How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+
LASPA: Latent Spatial Alignment for Fast Training-free Single Image Editing
Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods
Few-Shot Learning via Saliency-guided Hallucination of Samples
Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualised Embeddings
Cognitive Radio Simultaneous Spectrum Access/ One-shot Game Modelling
A Secure and Efficient Protocol for Group Key agreement in Heterogeneous Environment
Feature Trajectory Dynamic Time Warping for Clustering of Speech Segments
A First-Order Functional Intermediate Language for Verified Compilers
Dudeney's Dissection is Optimal
Algorithms for Distance Sensitivity Oracles and other Graph Problems on the PRAM
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review
Battery Energy Storage Scheduling for Optimal Load Variance Minimization
AHAMask: Reliable Task Specification for Large Audio Language Models without Instructions
Mining Semi-structured Data
Out-of-distribution detection in 3D applications: a review
Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion
Quantifying Knowledge Distillation Using Partial Information Decomposition
Ratio Matching MMD Nets: Low dimensional projections for effective deep generative models
Optimal Spectrum Sensing Policy with Traffic Classification in RF-Powered CRNs
Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs
Pushing the frontiers of subexponential FPT time for Feedback Vertex Set
Security Survey of Internet Browsers Data Managers
A Data-driven Understanding of Left-Wing Extremists on Social Media
Prismatic Algorithm for Discrete D.C. Programming Problems
What's So Human about Human-AI Collaboration, Anyway? Generative AI and Human-Computer Interaction
Study on Locomotive Epidemic Dynamics in a Stochastic Spatio-Temporal Simulation Model on a Multiplex Network
A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
Universal Deep Beamformer for Variable Rate Ultrasound Imaging
Demonstration of a planar multimodal periodic filter at THz frequencies
Feeder Microgrid Management on an Active Distribution System during a Severe Outage
A Type II Singularity Avoidance Algorithm for Parallel Manipulators using Output Twist Screws
Font Identification in Historical Documents Using Active Learning
Amélioration des Performances des Systèmes Automatiques de Reconnaissance de la Parole pour la Parole Non Native
Optimal Locally Repairable Codes with Improved Update Complexity
Superconcentration on a Pair of Butterflies
Fast Adaptive Federated Bilevel Optimization
Omni-Router: Sharing Routing Decisions in Sparse Mixture-of-Experts for Speech Recognition
Spatially Invariant Unsupervised 3D Object Segmentation with Graph Neural Networks
Using Twitter to predict football outcomes
Privado: Practical and Secure DNN Inference
High Order Hermite Finite Difference Method for Euler/Navier-Stokes Equations in 2D Unstructured Meshes
Benchmarking down-scaled (not so large) pre-trained language models
Transmitting Extra Bits by Rotating Signal Constellations
TinySearch - Semantics based Search Engine using Bert Embeddings
On the Predictability of Future Impact in Science
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
An algebraic characterization of injectivity in phase retrieval
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)
Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching
Convergence dynamics of Generative Adversarial Networks: the dual metric flows
AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring
AN-aided Secure Transmission in Multi-user MIMO SWIPT Systems
Are cookie banners indeed compliant with the law? Deciphering EU legal requirements on consent and technical means to verify compliance of cookie banners
From Trade-only to Zero-Value NFTs: The Asset Proxy NFT Paradigm in Web3
Strategic Voting Under Uncertainty About the Voting Method
Composable and Modular Code Generation in MLIR: A Structured and Retargetable Approach to Tensor Compiler Construction
HOACS: Homomorphic Obfuscation Assisted Concealing of Secrets to Thwart Trojan Attacks in COTS Processor
ZeroVL: A Strong Baseline for Aligning Vision-Language Representations with Limited Resources
FPGA Implementation of LS Code Generator for CDM Based MIMO Channel Sounder
Exploring Diverse Coping Mechanisms in 2023: A Comprehensive Survey Across Backgrounds and Cultures
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems
Improving Warped Planar Object Detection Network For Automatic License Plate Recognition
Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research
Online Virtual Machine Allocation with Predictions
Fast computation of permutation equivariant layers with the partition algebra
Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
A Self-adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing
Deciding the Closure of Inconsistent Rooted Triples is NP-Complete
D 2 UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion
On Stability and Sojourn Time of Peer-to-Peer Queuing Systems
DeepSeek-R1 Thoughtology: Let's about LLM Reasoning
EIT: Efficiently Lead Inductive Biases to ViT
Examining the Impact of Source-product Congruence and Sponsorship Disclosure on the Communicative Effectiveness of Instagram Influencers
On a mean-field Pontryagin minimum principle for stochastic optimal control
Strategy-Proof Prediction Markets
On the Distributed Construction of a Collision-Free Schedule in Multi-Hop Packet Radio Networks
Spherical Harmonic Residual Network for Diffusion Signal Harmonization
A New Bound for 3-Satisfiable MaxSat and its Algorithmic Application
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
Learning Spatially Decoupled Color Representations for Facial Image Colorization
Biased landscapes for random Constraint Satisfaction Problems
Weakly Supervised Soft-detection-based Aggregation Method for Image Retrieval
Counting Like Transformers: Compiling Temporal Counting Logic Into Softmax Transformers
Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients
Mobile Networks Connected Drones: Field Trials, Simulations, and Design Insights
Natural Language Guided Ligand-Binding Protein Design
Capacitated Team Formation Problem on Social Networks
OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection
Quantify Gas-to-Power Fault Propagation Speed:A Semi-Implicit Simulation Approach
Hands-on Guidance for Distilling Object Detectors
Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning
DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
Adaptively detect and accurately resolve macro-scale shocks in an efficient Equation-Free multiscale simulation
Pairwise Comparison for Bias Identification and Quantification
Stability of the Ghurye-Olkin Characterization of Vector Gaussian Distributions
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Functional dependencies with null markers
LDPC Codes Which Can Correct Three Errors Under Iterative Decoding
Dataset: Large-scale Urban IoT Activity Data for DDoS Attack Emulation
PushdownDB: Accelerating a DBMS using S3 Computation
SIR Distribution in downlink Poisson point cellular network with $κ-μ$ shadowed fading
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
Relational Concept Based Models
Joint translation and unit conversion for end-to-end localization
Railway cyber-security in the era of interconnected systems: a survey
Preserving Privacy in Cloud-based Data-Driven Stabilization
Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
State Estimation Methods for Continuous-Discrete Nonlinear Systems involving Stochastic Differential Equations
Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions
Electronic-government in Saudi Arabia: A positive revolution in the peninsula
Towards a Deep(er) Understanding of Interaction through Modeling, Simulation, and Optimization
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
INSITE: labelling medical images using submodular functions and semi-supervised data programming
Using Twitter to Predict Sales: A Case Study
Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce
Is post-editing really faster than human translation?
Lamplighter groups, bireversible automata and rational series over finite rings
The Free Energy Principle drives neuromorphic development
A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study
Causal Analysis of Carnatic Music: A Preliminary Study
Security-Enhanced SC-FDMA Transmissions Using Temporal Artificial-Noise and Secret-Key Aided Schemes
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
An asymptotically optimal policy and state-space collapse for the multi-class shared queue
Constrained Pressure-Temperature Residual (CPTR) Preconditioner Performance for Large-Scale Thermal CO2 Injection Simulation
Development and Application of a Diaphragm Micro-Pump with Piezoelectric Device
Instance Similarity Deep Hashing for Multi-Label Image Retrieval
Delta-Audit: Explaining What Changes When Models Change
Learning Energy Decompositions for Partial Inference of GFlowNets
Local vs. Global Models for Hierarchical Forecasting
Compiling Arguments in an Argumentation Framework into Three-valued Logical Expressions
Audio Concept Classification with Hierarchical Deep Neural Networks
Interactive Full Image Segmentation
How Much of a Person Influencing the Others and Being Influenced Matters in Opinion Formation Games
Foundation Models for Tabular Data within Systemic Contexts Need Grounding
An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data
PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals
Towards 6G Holographic Localization: Enabling Technologies and Perspectives
Near instance optimality of the Lanczos method for Stieltjes and related matrix functions
Autonomous Close-Proximity Photovoltaic Panel Coating Using a Quadcopter
Motion Planning and Control of A Morphing Quadrotor in Restricted Scenarios
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
Approaches to Simultaneously Solving Variational Quantum Eigensolver Problems
A Low-Latency FFT-IFFT Cascade Architecture
BIGFix: Bidirectional Image Generation with Token Fixing
Incremental Refinements and Multiple Descriptions with Feedback
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
Reconstructing Intelligible Speech from the Pressure Sensor Data in HVACs
Warranty Cost Estimation Using Bayesian Network
Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image Generation
Bridging the gap between training and inference in LM-based TTS models
Graph Learning-Convolutional Networks
The Quantum Frontier
Securing 3rd Party App Integration in Docker-based Cloud Software Ecosystems
A Spatial Crypto Technique for Secure Data Transmission