yusuke1997/dblp-id-title huggingface dataset:
Votemandering: Strategies and Fairness in Political Redistricting
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
Data-Driven Discrete Geofence Design Using Binary Quadratic Programming
Sensor Selection by Linear Programming
Approximating a spatially-heterogeneously mass-emitting object by multiple point sources in a diffusion model
Design of a vision based range bearing and heading system for robot swarms
SpikePack : Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
A Lower Bound on the Estimator Variance for the Sparse Linear Model
Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review
FOLD-RM: A Scalable and Efficient Inductive Learning Algorithm for Multi-Category Classification of Mixed Data
Joint Uplink-Downlink Cell Associations for Interference Networks with Local Connectivity
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator
Boosting the Performance of Quantum Annealers using Machine Learning
Heterogeneous fragmentation of empty sites promotes cooperation in phenotypically diverse populations with tag-mediated interactions
An Empirical Assessment on Affective Reactions of Novice Developers when Applying Test-Driven Development
Improving Heart Rejection Detection in XPCI Images Using Synthetic Data Augmentation
Transfer Learning for Multi-lingual Tasks - a Survey
WaterFowl, a Compact, Self-indexed RDF Store with Inference-enabled Dictionaries
A Use of Even Activation Functions in Neural Networks
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation
On the Scaling of Interference Alignment Under Delay and Power Constraints
Few-Shot Unsupervised Continual Learning through Meta-Examples
Zero Reinforcement Learning Towards General Domains
Resilience of the Electric Grid through Trustable IoT-Coordinated Assets
Zero-shot self-supervised learning of single breath-hold magnetic resonance cholangiopancreatography (MRCP) reconstruction
Role of Awareness and Universal Context in a Spiking Conscious Neural Network (SCNN): A New Perspective and Future Directions
A Survey on Influence Maximization in a Social Network
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding
Learning context-aware adaptive solvers to accelerate quadratic programming
Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search
Performance Metrics and Design Parameters for a Free-space Communication Link Based on Multiplexing of Multiple Orbital-Angular-Momentum Beams
Performance Analysis of Split Preamble RAN Over-load Protocol for M2M Communications in Cellular Networks
Typing of data transfer processes in the information system within the framework of threat modeling
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
LocoMamba: Vision-Driven Locomotion via End-to-End Deep Reinforcement Learning with Mamba
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction
Query-driven Procedures for Hybrid MKNF Knowledge Bases
Potentials and Limits of Using Preconfigured Spatial Beams as Bandwidth Resources: Beam Selection vs Beam Aggregation
CHARTOM: A Visual Theory-of-Mind Benchmark for Multimodal Large Language Models
Identifying a 3-vertex strongly biconnected directed subgraph with minimum number of edges
Towards Optimality Conditions for Non-Linear Networks
Large Multiuser MIMO Detection: Algorithms and Architectures
Determinism in the Certification of UNSAT Proofs
Hybrid classical-quantum computing: are we forgetting the classical part in the binomial?
Evolving Mobile Cloud Gaming with 5G Standalone Network Telemetry
The Developments and Challenges towards Dexterous and Embodied Robotic Manipulation: A Survey
Automatically Finding Optimal Index Structure
Serving by local consensus in the public service location game
Two-stage training method for Japanese electrolaryngeal speech enhancement based on sequence-to-sequence voice conversion
Computational Optimal Control of the Saint-Venant PDE Model Using the Time-scaling Technique
A review of EO Mining
An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition
Deep ReLU Neural Network Emulation in High-Frequency Acoustic Scattering
Best Privacy Practice Recommendations for Global Audio Streaming Platforms
Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network
Stable Dynamic Mode Decomposition Algorithm for Noisy Pressure-Sensitive Paint Measurement Data
Universal Language Modelling agent
Online Correlation Clustering: Simultaneously Optimizing All ℓ p -norms
MTRec: Learning to Align with User Preferences via Mental Reward Models
Recent Advances in 3D Object and Hand Pose Estimation
Porcupine Neural Networks: (Almost) All Local Optima are Global
Formal Verification of Cyber-Physical Systems using Theorem Proving (Invited Paper)
State Information in Bayesian Games
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction
Efficient Wu-Manber Pattern Matching Hardware for Intrusion and Malware Detection
Improving Tuning-Free Real Image Editing with Proximal Guidance
Mixtures of Gaussian Processes for regression under multiple prior distributions
On the Complexity of Toric Ideals
On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays
Enhance Connectivity of Promising Regions for Sampling-based Path Planning
Multitimescale method for approximating the path action relevant to non-equilibrium statistical physics
Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models
Adapting Interleaved Encoders with PPO for Language-Guided Reinforcement Learning in BabyAI
Translating OWL and Semantic Web Rules into Prolog: Moving Toward Description Logic Programs
Expectation Maximization Aided Modified Weighted Sequential Energy Detector for Distributed Cooperative Spectrum Sensing
Gyroscope-Assisted Motion Deblurring Network
Three-Layer Joint Distributionally Robust Chance-Constrained Framework for Optimal Day-Ahead Scheduling of E-mobility Ecosystem
Blockchain-based certificate authentication system with enabling correction
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection
Stacked Quantizers for Compositional Vector Compression
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
Java Components Vulnerabilities - An Experimental Classification Targeted at the OSGi Platform
Unified Long Video Inpainting and Outpainting via Overlapping High-Order Co-Denoising
Detecting and avoiding frontal obstacles from monocular camera for micro unmanned aerial vehicles
Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models
Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks
Proceedings of the AI-HRI Symposium at AAAI-FSS 2018
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data
A new algorithm for the K DMDGP subclass of Distance Geometry Problems
Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies
Scalability Terminology: Farms, Clones, Partitions, Packs, RACS and RAPS
Key Management and Learning based Two Level Data Security for Metering Infrastructure of Smart Grid
New families of quantum stabilizer codes from Hermitian self-orthogonal algebraic geometry codes
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
Comparison of fundamental frequency estimators with subharmonic voice signals
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions
Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow
A New Noncoherent Decoder for Wireless Network Coding
The Quantum Multiple-Access Channel with Cribbing Encoders
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction
Node Failure Localization: Theorem Proof
Static Seeding and Clustering of LSTM Embeddings to Learn from Loosely Time-Decoupled Events
Second-order AAA algorithms for structured data-driven modeling
Map Optical Properties to Subwavelength Structures Directly via a Diffusion Model
Lower bound for monotone Boolean convolution
Reducing the Error Floor of the Sign-Preserving Min-Sum LDPC Decoder via Message Weighting of Low-Degree Variable Nodes
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts
Disentangled Representation Learning for Causal Inference with Instruments
Machine Learning-based Link Fault Identification and Localization in Complex Networks
Look Into the LITE in Deep Learning for Time Series Classification
Multi-modal Scene-compliant User Intention Estimation for Navigation
Catch Me If You Can: Using Power Analysis to Identify HPC Activity
Estimation of the Frequency of Occurrence of Italian Phonemes in Text
Deep Motion Boundary Detection
LLM Voting: Human Choices and AI Collective Decision Making
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference
A Construction of Interpolating Space Curves with Any Degree of Geometric Continuity
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds
Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features
Exercises in Iterational Asymptotics IV
Architecture Models Refinements for Software Development of Critical Real-time Embedded Systems
Massive MIMO: Instantaneous versus Statistical CSI-Based Power Allocation
Dynamic Task Execution using Active Parameter Identification with the Baxter Research Robot
Meta-research on COVID-19: An overview of the early trends
Architecture Logicielles pour des Applications hétérogènes, distribuées et reconfigurables
Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings
A Robust 5G Terrestrial Positioning System with Sensor Fusion in GNSS-denied Scenarios
When does deep learning fail and how to tackle it? A critical analysis on polymer sequence-property surrogate models
Mutual Information Optimally Local Private Discrete Distribution Estimation
Learning and generalization of robotic dual-arm manipulation of boxes from demonstrations via Gaussian Mixture Models (GMMs)
No-Existence Of Generalize Diffusion
A priori error estimation for elasto-hydrodynamic lubrication using interior-exterior penalty approach
Cryptographic Path Hardening: Hiding Vulnerabilities in Software through Cryptography
Hierarchical Distribution Matching: a Versatile Tool for Probabilistic Shaping
Constrained Multi-Modal Density Control of Linear Systems via Covariance Steering Theory
Time Series Forecasting Using Manifold Learning
Understanding the Role of Scene Graphs in Visual Question Answering
Enhancing Machine Translation through Advanced In-Context Learning: A Methodological Strategy for GPT-4 Improvement
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset
Value-Penalized Auxiliary Control from Examples for Learning without Rewards or Demonstrations
Precise Single-stage Detector
A proposition of 3D inertial tolerancing to consider the statistical combination of the location and orientation deviations
Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models
Synchrony in Neuronal Communications: An Energy Efficient Scheme
Exact learning for infinite families of concepts
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation
Trust in Language Grounding: a new AI challenge for human-robot teams
GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature
Numerical Methods for the Inverse Nonlinear Fourier Transform
SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM
On the Bug-proneness of Structures Inspired by Functional Programming in JavaScript Projects
Generalized Compare and Swap
Multi-Robot On-site Shared Analytics Information and Computing
Restoring degraded speech via a modified diffusion model
Hypergraph-based Multi-robot Motion Planning with Topological Guidance
Less is more: sampling chemical space with active learning
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection
Two-stage Robust Energy Storage Planning with Probabilistic Guarantees: A Data-driven Approach
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories
Finding all Convex Cuts of a Plane Graph in Cubic Time
Network Inference from Grouped Data
The variational discretizaton of the constrained higher-order Lagrange-Poincaré equations
Une représentation en graphe pour l'enseignement de XML
Pixels to Voxels: Modeling Visual Representation in the Human Brain
A degree of image identification at sub-human scales could be possible with more advanced clusters
Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker
Runaway Events Dominate the Heavy Tail of Citation Distributions
Fair Collaborative In-Network Caching Game and Its Cost Analysis on General Network Topologies
Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training
MAT-DiSMech: A Discrete Differential Geometry-based Computational Tool for Simulation of Rods, Shells, and Soft Robots
Lifetime Maximization for UAV-Enabled Cognitive-NOMA IoT Networks: Joint Location, Power, and Decoding Order Optimization
SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
Evaluating the Stability of Deep Learning Latent Feature Spaces
Accurate iteration-free mixed-stabilised formulation for laminar incompressible Navier-Stokes: Applications to fluid-structure interaction
The Interaction of 'Supply', 'Demand', and 'Technological Capabilities' in terms of Medical Subject Headings: A Triple Helix Model of Medical Innovation
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
Dynamic Shaping of Multi-Touch Stimuli by Programmable Acoustic Metamaterial
Understanding Long Videos in One Multimodal Language Model Pass
MapTrace: Scalable Data Generation for Route Tracing on Maps
A Distributed, Dynamical System View of Finite, Static Games
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis
An Integrated Approach for Failure Mitigation & Localization in Power Systems
Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction
Polynomial Input-to-state Stability of Infinite-dimensional Linear Systems
Optimized Deletion From an AVL Tree
On the Average Similarity Degree between Solutions of Random k-SAT and Random CSPs
Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Laser Powder Bed Fusion
Open-Set Recognition with Gradient-Based Representations
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow
Equivariant IMU Preintegration with Biases: a Galilean Group Approach
Coverage and Connectivity in Three-Dimensional Networks
Consensus with Bounded Space and Minimal Communication
OptiRica: Towards an Efficient Optimizing Horn Solver
LLM-Based Identification of Infostealer Infection Vectors from Screenshots: The Case of Aurora
T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models
Completing Simple Valuations in K-categories
A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware
A Generalized Unscented Transformation for Probability Distributions
The Randomized k-Server Conjecture is False!
RPO, Second-order Contexts, and Lambda-calculus
RAG-based Architectures for Drug Side Effect Retrieval in LLMs
Physics Informed Neural Network for Option Pricing
How to predict and optimise with asymmetric error metrics
Conformal Object Detection by Sequential Risk Control
Encoding Reality: Prediction-Assisted Cortical Learning Algorithm in Hierarchical Temporal Memory
Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images
Optimal Non-Oblivious Open Addressing
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
The Expectation Monad in Quantum Foundations
Complete the Look: Scene-based Complementary Product Recommendation
A review on the mobile applications developed for COVID-19: An exploratory analysis
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
Inserting or Stretching Points in Finite Difference Discretizations
Performance Optimization of Network Coding Based Communication and Reliable Storage in Internet of Things
Measuring Majority Power and Veto Power of Voting Rules
Mixed integer nonlinear programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations
Bayesian Optimization of Catalysts With In-context Learning
Minimization of Constraint Violation Probability in Model Predictive Control
Complex scaling for open waveguides
GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains
Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition
Two-sided Quantum Amplitude Amplification and Exact-Error Algorithms
Learning Linearity in Audio Consistency Autoencoders via Implicit Regularization
Generative Adversarial Networks for Scintillation Signal Simulation in EXO-200
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection
Parkinson's Disease Motor Symptoms in Machine Learning: A Review
Deploying Deep Ranking Models for Search Verticals
An approach to measuring the performance of Automatic Speech Recognition (ASR) models in the context of Large Language Model (LLM) powered applications
Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks
AnxietyFaceTrack: A Smartphone-Based Non-Intrusive Approach for Detecting Social Anxiety Using Facial Features
Pairwise efficiency and monotonicity imply Pareto efficiency in (probabilistic) object allocation
Stochastic Nonlinear Dynamical Modelling of SRAM Bitcells in Retention Mode
Zero-Shot Cost Models for Distributed Stream Processing
When Simple is Near-Optimal in Security Games
Simulation of Quantum Repeater Networks under Decoherence and Purification Constraints
On a Cardinality-Constrained Transportation Problem With Market Choice
Evaluation of Elephant-based Algorithms for Flow Table Reduction under Realistic Traffic Distributions
Multi-Layers Supply chain modelling based on Multi-Agent Approach
Hidden Markov Model for Inferring Learner Task Using Mouse Movement
Joint Multi-scale Gated Transformer and Prior-guided Convolutional Network for Learned Image Compression
Computation Environments (2) Persistently Evolutionary Semantics
New methodology to design advanced MR-IRUWB communication system
Frame-based Approach for Sparse Representation of Signal Decomposition and Reconstruction
Message Intercommunication for Inductive Relation Reasoning
LLM-Mediated Guidance of MARL Systems
UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation
Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Un análisis bibliomérico de la producción científica acerca del agrupamiento de trayectorias GPS
MTCSC: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction
Federated Deep Subspace Clustering
Time-variant Seismic Resilience Analysis Model for Water Distribution Systems
Random Vandermonde Matrices-Part II: Applications
Private Queries with Sigma-Counting
On the Linear Convergence of Policy Gradient under Hadamard Parameterization
Is the NUTS algorithm correct?
AMIGOS: A dataset for Mood, personality and affect research on Individuals and GrOupS
An Empirical Study on the Robustness of the Segment Anything Model (SAM)
An experimental study on fairness-aware machine learning for credit scoring problem
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
Opinion Mining and Analysis: A survey
Public Key Protocol Based on Amalgamated Free Product
PeP: a Point enhanced Painting method for unified point cloud tasks
Legal Document Retrieval using Document Vector Embeddings and Deep Learning
Gradient Methods with Online Scaling Part I. Theoretical Foundations
Development of a wheelchair simulator for children with multiple disabilities
Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory
In-silico analysis of the influence of pulmonary vein configuration on left atrial haemodynamics and thrombus formation in a large cohort
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment
MoRAG - Multi-Fusion Retrieval Augmented Generation for Human Motion
Exploratory Data Analysis of The KelvinHelmholtz instability in Jets
CUQIpy - Part I: computational uncertainty quantification for inverse problems in Python
Adaptive Control of Dubins Vehicle in the Presence of Loss of Effectiveness (Extended Version)
Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently
Fractional counting of authorship to quantify scientific research output
Feature Selection via Binary Simultaneous Perturbation Stochastic Approximation
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects
Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Economic versus energetic model predictive control of a cold production plant with thermal energy storage
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
Dual Co-Matching Network for Multi-choice Reading Comprehension
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
A dynamic auction for multilateral collaboration
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification
Spatially-Adaptive Residual Networks for Efficient Image and Video Deblurring
MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding
Learning to Sample the Most Useful Training Patches from Images
Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning
Answering Hindsight Queries with Lifted Dynamic Junction Trees
Quantum computing algorithms for inverse problems on graphs and an NP-complete inverse problem
Hybrid distance-angle rigidity theory with signed constraints and its applications to formation shape control
Scalable Fingerprinting of Large Language Models
New Competitive Semi-online Scheduling Algorithms for Small Number of Identical Machines
Reconstructing Structured Sparse Signals from Compressive Samples via a Max-Product EM Algorithm
Image Steganography: Protection of Digital Properties against Eavesdropping