yusuke1997/dblp-id-title huggingface dataset:
The Capacity of Less Noisy Cognitive Interference Channels
A Systematic Literature Review on Wearable Health Data Publishing under Differential Privacy
AI Matrix - Synthetic Benchmarks for DNN
Computing the (number of) inverses of Euler's totient and other multiplicative functions
InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
Current Landscape of the Russian Sentiment Corpora
Multisource and Multitemporal Data Fusion in Remote Sensing
Federated Reinforcement Learning with Constraint Heterogeneity
Lagrange and H(curl, B) based Finite Element formulations for the relaxed micromorphic model
Lyapunov-Based Stabilization and Control of Closed Quantum Systems
Light Multi-segment Activation for Model Compression
Doppler Synthetic Aperture Radar Interferometry: A Novel SAR Interferometry for Height Mapping using Ultra-Narrowband Waveforms
An agent-based model for modal shift in public transport
LyriCAR: A Difficulty-Aware Curriculum Reinforcement Learning Framework For Controllable Lyric Translation
Compelled to do the right thing
ICCPS: Impact discovery using causal inference for cyber attacks in CPSs
SemCoder: Training Code Language Models with Comprehensive Semantics
Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic
DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion
Simultaneous Dominating Set for Spanning Tree Factorings
Citation Analysis with Medical Subject Headings (MeSH) using the Web of Knowledge: A new routine
Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs
Local Jet Pattern: A Robust Descriptor for Texture Classification
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Can GPT-4o mini and Gemini 2.0 Flash Predict Fine-Grained Fashion Product Attributes? A Zero-Shot Analysis
Exploring the effects of Lx-norm penalty terms in multivariate curve resolution methods for resolving LC/GC-MS data
Rethinking Training Dynamics in Scale-wise Autoregressive Generation
Model Agnostic Conformal Hyperparameter Optimization
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning
Jointly Optimized Global-Local Visual Localization of UAVs
Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku
EvilScreen Attack: Smart TV Hijacking via Multi-channel Remote Control Mimicry
Recent Developments in Iterative Methods for Reducing Synchronization
Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers
Simulating hashtag dynamics with networked groups of generative agents
Direct imaging methods for reconstructing a locally rough interface from phaseless total-field data or phased far-field data
The Calculus of Algebraic Constructions
LQG Control with Minimal Information: Three-Stage Separation Principle and SDP-based Solution Synthesis
Using Supervised Learning to Improve Monte Carlo Integral Estimation
Protein preliminaries and structure prediction fundamentals for computer scientists
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
Searching for Maximum Out-Degree Vertices in Tournaments
Classical (Co)Recursion: Mechanics
Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
PSI (Ψ): a Private data Sharing Interface
Enhanced Edge-Perceptual Guided Image Filtering
RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from a Single Image
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content
An Encoding-Decoding algorithm based on Padovan numbers
Random Voting Effects in Social-Digital Spaces: A case study of Reddit Post Submissions
Summarization of Films and Documentaries Based on Subtitles and Scripts
Optimal Lockdown Strategy in a Pandemic: An Exploratory Analysis for Covid-19
Explaining Predictions from Machine Learning Models: Algorithms, Users, and Pedagogy
A Dissipative Systems Theory for FDTD with Application to Stability Analysis and Subgridding
Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning
iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models
A Holistic Assessment of the Reliability of Machine Learning Systems
Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text
Algorithm Adaptation Bias in Recommendation System Online Experiments
Solving Tall Dense SDPs in the Current Matrix Multiplication Time
Exploring Biological Neuronal Correlations with Quantum Generative Models
Quantum stabilizer codes, lattices, and CFTs
Chasing price drains liquidity
Analog Content-Addressable Memory from Complementary FeFETs
The Online Laboratory: Conducting Experiments in a Real Labor Market
Merging control in mixed traffic with safety guarantees: a safe sequencing policy with optimal motion control
Average sampling restoration of harmonizable processes
Decentralized Probabilistic Multi-Robot Collision Avoidance Using Buffered Uncertainty-Aware Voronoi Cells
A Survey on High-Capacity OFDM-based Passive Optical Networks
A Deep Learning Model for Chilean Bills Classification
Patience Is The Key to Large Language Model Reasoning
Fast Bayesian Estimation of Spatial Count Data Models
Attention-driven Active Vision for Efficient Reconstruction of Plants and Targeted Plant Parts
Deep Video Deblurring
Approximate Estimation of High-dimension Execution Skill for Dynamic Agents in Continuous Domains
IF-GUIDE: Influence Function-Guided Detoxification of LLMs
Impacts of Time-of-Use Rate Changes on the Electricity Bills of Commercial Consumers
Optimal Traffic Allocation for Multi-Slot Sponsored Search: Balance of Efficiency and Fairness
Dragen3D: Multiview Geometry Consistent 3D Gaussian Generation with Drag-Based Control
Small Language Models are Equation Reasoners
More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models
FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
Artificial Spin Ice Phase-Change Memory Resistors
A Data-Centric Approach for Training Deep Neural Networks with Less Data
Energy-Aware Relay Selection and Power Allocation for Multiple-User Cooperative Networks
Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions
Mobility Diversity in Mobile Wireless Networks
Provably Optimal Quantum Circuits with Mixed-Integer Programming
Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
Learning to Shift Attention for Motion Generation
Efficient recovery-based error estimation for the smoothed finite element method for smooth and singular linear elasticity
The Registry of Scientometric Data Sources
Discontinuous Galerkin methods for semilinear elliptic boundary value problem
Acceleration method for generating perception failure scenarios based on editing Markov process
Neural Logic Analogy Learning
Privacy protection of occupant behavior data and using blockchain for securely transferring temperature records in HVAC systems
ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction
XP2021 Experience Report: Five Strategies for the Future of Work: Accelerating Innovation through Tech Transfer
Towards In-transit Analysis on Supercomputing Environments
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
Coalition Formation Game for Delay Reduction in Instantly Decodable Network Coding Assisted D2D Communications
Assessing The Potential Of Mid-Sized Language Models For Clinical QA
Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders
A novel methodology for antenna design and optimization: Variable Zo
Contrasting global approaches for identifying and managing cybersecurity risks in supply chains
RMCSA Algorithm for Congestion-Aware and Service Latency Aware Dynamic Service Provisioning in Software-Defined SDM-EONs
Information processing reveals how microscopic components affect the macroscopic system-state in complex networks
A competitive comparison of different types of evolutionary algorithms
Improved Recovery Bounds of Orthogonal Matching Pursuit using Restricted Isometry Property
AtteSTNet - An attention and subword tokenization based approach for code-switched Hindi-English hate speech detection
ScoresActivation: A New Activation Function for Model Agnostic Global Explainability by Design
3D Shape Reconstruction from 2D Landmarks: A Convex Formulation
Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
Emotions in Artificial Intelligence
Projective Decomposition and Matrix Equivalence up to Scale
Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
A Neural Architecture for Detecting Confusion in Eye-tracking Data
Engineering Social Optimality via Utility Shaping in Non-Cooperative Games under Incomplete Information and Imperfect Monitoring
Dynamic Multi-scale Convolution for Dialect Identification
OPA-Pack: Object-Property-Aware Robotic Bin Packing
Output Regulation by Postprocessing Internal Models for a Class of Multivariable Nonlinear Systems
An Empirical Study of Cache-Oblivious Priority Queues and their Application to the Shortest Path Problem
Dynamic Monopolies in Reversible Bootstrap Percolation
Prompt-aware of Frame Sampling for Efficient Text-Video Retrieval
Vers: fully distributed Coded Computing System with Distributed Encoding
Data-driven Modeling of the Mechanical Behavior of Anisotropic Soft Biological Tissue
Toward Systematic Counterfactual Fairness Evaluation of Large Language Models: The CAFFE Framework
Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation with Varying Meshes and Dirichlet Boundary Conditions
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
A short proof of a theorem of J.-E. Pin
Multi-core: Adding a New Dimension to Computing
Fruit Ripeness Classification: a Survey
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes
On Bayesian sparse canonical correlation analysis via Rayleigh quotient framework
DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring
Trajectory Following of a Reciprocally Rotating Magnetic Capsule in a Tubular Environment
A Markov Random Field Topic Space Model for Document Retrieval
Seq-NMS for Video Object Detection
Minimal Actuator Placement with Bounds on Control Effort
Hybrid Predictive Modeling of Malaria Incidence in the Amhara Region, Ethiopia: Integrating Multi-Output Regression and Time-Series Forecasting
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models
Interpreting and Analyzing CLIP's Zero-Shot Image Classification via Mutual Knowledge
Transforming UNL graphs in OWL representations
Training the next generation of computational scientists through a new undergraduate course
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
ε-Cost Sharding: Scaling Hypergraph-Based Static Functions and Filters to Trillions of Keys
The benefit of law-making power
An Expressive Model for the Web Infrastructure: Definition and Application to the BrowserID SSO System
Learning to Pool in Graph Neural Networks for Extrapolation
A Constant Factor Approximation Algorithm for Fault-Tolerant k-Median
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions
Learning MDL logic programs from noisy data
On Minimal Accuracy Algorithm Selection in Computer Vision and Intelligent Systems
Position Interpolation Improves ALiBi Extrapolation
State-of-the-Art Dysarthric Speech Recognition with MetaICL for on-the-fly Personalization
A Structured Table of Graphs with Special Properties
Graph rewriting with polarized cloning
A Framework for Evaluating the Retrieval Effectiveness of Search Engines
Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stability
Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning
Hypergraph Convolution and Hypergraph Attention
Can We Enable the Drone to be a Filmmaker?
Numerical schemes for a multi-species quantum BGK model
Algorithms for Weighted Sums of Squares Decomposition of Non-negative Univariate Polynomials
Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting
The Tale of One-way Functions
Perch a quadrotor on planes by the ceiling effect
Elections in the Post-Quantum Era: Is the Complexity Shield Strong Enough?
Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point clouds
Succinct Data Structures for Retrieval and Approximate Membership
Recommendation of Exception Handling Code in Mobile App Development
Smart Guiding Glasses for Visually Impaired People in Indoor Environment
Illustrating Finite Automata with Grail+ and TikZ
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields
Unattainability of Common Knowledge in Asymmetric Games with Imperfect Information
Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization
The World of Generative AI: Deepfakes and Large Language Models
LAConv: Local Adaptive Convolution for Image Fusion
Multi-Level Over-the-Air Aggregation of Mobile Edge Computing over D2D Wireless Networks
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features
Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach
Face.evoLVe: A High-Performance Face Recognition Library
TrendGNN: Towards Understanding of Epidemics, Beliefs, and Behaviors
T-VSE: Transformer-Based Visual Semantic Embedding
Self-Assembly of Arbitrary Shapes with RNA and DNA tiles (extended abstract)
Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing
Pointwise stabilization of discrete-time matrix-valued stationary Markov chains
Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)
ReSMT: An SMT-Based Tool for Reverse Engineering
A Better-Than-5/4-Approximation for Two-Edge Connectivity
Hourly Traffic Prediction of News Stories
SUGAR: Pre-training 3D Visual Representations for Robotics
Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version)
Quantum-Resilient Blockchain for Secure Transactions in UAV-Assisted Smart Agriculture Networks
Closing the Gap Between Text and Speech Understanding in LLMs
Fixing an error in Caponnetto and de Vito (2007)
Dynamic Modeling and Adaptive Controlling in GPS-Intelligent Buoy (GIB) Systems Based on Neural-Fuzzy Networks
Enhancing Low Resource NER Using Assisting Language And Transfer Learning
Utilizing Priors in Sampling-based Cost Minimization
Cross-modal Retrieval Models for Stripped Binary Analysis
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images
A certifying extraction with time bounds from Coq to call-by-value $λ$-calculus
Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond
Tutorial on the Robust Interior Point Method
Encoding architecture algebra
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning
Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models
XZero: On Practical Cross-Technology Interference-Nulling for LTE-U/WiFi Coexistence
Utilizing a Novel Deep Learning Method for Scene Categorization in Remote Sensing Data
Cerberus: A Multi-headed Derenderer
A refined dynamic finite-strain shell theory for incompressible hyperelastic materials: equations and two-dimensional shell virtual work principle
Automated Generation of Explicit Port-Hamiltonian Models from Multi-Bond Graphs
Cloud No Longer a Silver Bullet, Edge to the Rescue
Happiness Maximizing Sets under Group Fairness Constraints (Technical Report)
Explainable unsupervised multi-modal image registration using deep networks
Overview of EIREX 2012: Social Media
Depthwise-STFT based separable Convolutional Neural Networks
Optimal Energy Management in Indoor Farming Using Lighting Flexibility and Intelligent Model Predictive Control
On the structure and syntactic complexity of generalized definite languages
NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation
Modeling Information Need of Users in Search Sessions
Non-asymptotic Analysis in Kernel Ridge Regression
Bio-inspired Adaptive Latching System for Towing and Guiding Power-less Floating Platforms with Autonomous Robotic Boats
Further Properties of Wireless Channel Capacity
Image Fusion Using LEP Filtering and Bilinear Interpolation
Incentives for Truthful Peer Grading
Bootstrapping topology and systemic risk of complex network using the fitness model
Thetacrypt: A Distributed Service for Threshold Cryptography
Efficient EM Training of Gaussian Mixtures with Missing Data
Almost Optimal Bounds for Sublinear-Time Sampling of k-Cliques: Sampling Cliques is Harder Than Counting
Deep Learning for Genomics: A Concise Overview
Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Divergence conforming finite element methods for flow-transport coupling with osmotic effects
Circuit Extraction for ZX-diagrams can be #P-hard
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography
Cross-media Similarity Metric Learning with Unified Deep Networks
Causality-Aware Transformer Networks for Robotic Navigation
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Catastrophic Forgetting Mitigation Through Plateau Phase Activity Profiling
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
Information Maps: A Practical Approach to Position Dependent Parameterization
Language as an Anchor: Preserving Relative Visual Geometry for Domain Incremental Learning
NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities
VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA
Extending INET Framework for Directional and Asymmetrical Wireless Communications
Real-time design of architectural structures with differentiable simulators and neural networks
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs
Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models
DAWGs for parameterized matching: online construction and related indexing structures
Radio Frequency Ray Tracing with Neural Object Representation
Hyperbolic Contrastive Learning for Hierarchical 3D Point Cloud Embedding
Multi-sorted logic, models and logical geometry
Incentive Mechanisms for Hierarchical Spectrum Markets
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
Recursive Monte Carlo and Variational Inference with Auxiliary Variables
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions
Improved N-continuous OFDM for 5G Wireless Communications
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling
Labeling of Cultural Heritage Collections on the Intersection of Visual Analytics and Digital Humanities
Causal pieces: analysing and improving spiking neural networks piece by piece
Time integration of tree tensor networks
Impartial binary decisions through qubits
Deep Spiking Networks
Efficient modularity optimization by self-avoiding walk
The exponentially weighted average forecaster in geodesic spaces of non-positive curvature
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
Trajectory tracking control of kites with system delay
The Economic Implications of Large Language Model Selection on Earnings and Return on Investment: A Decision Theoretic Model
Sequential Control of Boolean Networks with Temporary and Permanent Perturbations
Flipping the Winner of a Poset Game
How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
Proposal to Use the Fractional Derivative of Radial Functions in Interpolation Problems
Designing inverse dynamic controller with integral action for motion planning of surgical robot in the presence of bounded disturbances
Capturing the Effects of Quantization on Trojans in Code LLMs
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-Spoofing
Coded Path Protection Part 1: Efficient Conversion of Sharing to Coding
Relevance Proximity Graphs for Fast Relevance Retrieval
A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction
Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators
Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS
New exponential law for real networks
Nonparametric Detection of Anomalous Data via Kernel Mean Embedding
Distributionally Robust Joint Chance-Constrained Optimization for Electricity Imbalance in Iran: Integrating Renewables and Storage
The Next Era of American Law Amid the Advent of Autonomous AI Legal Reasoning
On Attractors of Isospectral Compressions of Networks
Network information theory for classical-quantum channels
Mesh-free mixed finite element approximation for nonlinear time-fractional biharmonic problem using weighted b-splines
Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review
Mining Influential Spreaders in Complex Networks by an Effective Combination of the Degree and K-Shell
Finite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints
Large Language Models for Generative Information Extraction: A Survey
Visual Modality Prompt for Adapting Vision-Language Object Detectors
Localization & Mitigation of Cascading Failures in Power Systems, Part I: Spectral Representation & Tree Partition
SLIP: Soft Label Mechanism and Key-Extraction-Guided CoT-based Defense Against Instruction Backdoor in APIs
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
Scalable Systems and Software Architectures for High-Performance Computing on cloud platforms
Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation
Comparing biased random walks in graph embedding and link prediction
Alzheimer's Disease Prediction Using EffNetViTLoRA and BiLSTM with Multimodal Longitudinal MRI Data
NeuroHeed+: Improving Neuro-steered Speaker Extraction with Joint Auditory Attention Detection
Distributed Wake-Up Scheduling for Energy Saving in Wireless Networks
The Mirror Loop: Recursive Non-Convergence in Generative Reasoning Systems