yusuke1997/dblp-id-title huggingface dataset:
InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation
Edge and Identity Preserving Network for Face Super-Resolution
How can deep learning advance computational modeling of sensory information processing?
MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons
Actor Critic with Experience Replay-based automatic treatment planning for prostate cancer intensity modulated radiotherapy
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
ADAGE: A generic two-layer framework for adaptive agent based modelling
The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review
EcoServe: Designing Carbon-Aware AI Inference Systems
Graph state-space models
Inversion complexity of functions of multi-valued logic
Quantum emulation of query extension in information retrieval
Security Risk of Misalignment between Text and Image in Multi-modal Model
Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT
Leveraging Predictions from Multiple Repositories to Improve Bot Detection
MorDeephy: Face Morphing Detection Via Fused Classification
Symbol Emergence in Robotics: A Survey
A weakly universal cellular automaton on the pentagrid with three states
Combining Word Feature Vector Method with the Convolutional Neural Network for Slot Filling in Spoken Language Understanding
A nonlinear dead-time compensation method for path tracking control
LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks under Low-Resource Scenarios
Energy-dissipation Limits in Variance-based Computing
A note on the standard diffusion curve of TAP analysis
Large-scale Robustness Analysis of Video Action Recognition Models
Quantifying the predictability of visual scanpaths using active information storage
On the Module of Internet Banking System
A Supervised Authorship Attribution Framework for Bengali Language
Safety and Trustworthiness of Deep Neural Networks: A Survey
Deep leakage from gradients
Modeling Charge-Sign Asymmetric Solvation Free Energies With Nonlinear Boundary Conditions
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks
Online Arbitrary Shaped Clustering through Correlated Gaussian Functions
Information Operations Recognition: from Nonlinear Analysis to Decision-making
Lazy listing of equivalence classes - A paper on dynamic programming and tropical circuits
Geometry Restoration and Dewarping of Camera-Captured Document Images
Auto-Focus Contrastive Learning for Image Manipulation Detection
Anomaly Pattern-guided Transaction Bug Testing in Relational Databases
Comparison of Selection Methods in On-line Distributed Evolutionary Robotics
Mobile phone identification through the built-in magnetometers
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models
Exact Algorithm for Graph Homomorphism and Locally Injective Graph Homomorphism
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation
Dependent Types for Pragmatics
Leveraging LLMs for Structured Data Extraction from Unstructured Patient Records
AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer
Structure-preserving color transformations using Laplacian commutativity
The Pareto cover problem
Contact Tracing Information Improves the Performance of Group Testing Algorithms
Unified Framework for Open-World Compositional Zero-shot Learning
Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance
Data-Driven Assessment of Vehicle-to-Grid Capabilities in Supporting Grid During Emergencies: Case Study of Travis County, TX
Teaching Simulation as a Research Method in Empirical Software Engineering
Extended formulations for induced tree and path polytopes of chordal graphs
Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Space-Time CutFEM on Overlapping Meshes: Simple Continuous Mesh Motion
Tighter Bounds on the Independence Number of the Birkhoff Graph
Leveraging Traceroute Inconsistencies to Improve IP Geolocation
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning
Gap-planar Graphs
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science
Weak Signals in the Mobility Landscape: Car Sharing in Ten European Cities
Reconstructing dynamical networks via feature ranking
STAR: Swarm Technology for Aerial Robotics Research
Numerical analysis of scattered point measurement-based regularization for backward problems for fractional wave equations
Open Sky, Open Threats: Replay Attacks in Space Launch and Re-entry Phases
An Features Extraction and Recognition Method for Underwater Acoustic Target Based on ATCNN
Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer
ExplainIt! - A declarative root-cause analysis engine for time series data (extended version)
Asymptotic Privacy Loss due to Time Series Matching of Dependent Users
Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches
TangoBERT: Reducing Inference Cost by using Cascaded Architecture
Hunting the Ghost: Towards Automatic Mining of IoT Hidden Services
OSSINT - Open Source Social Network Intelligence An efficient and effective way to uncover "private" information in OSN profiles
Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection
Learning Based Uplink Interference Management in 4G LTE Cellular Systems
Plausible hypercomputability
Resolutions and Cohomologies of Toric Sheaves. The affine case
IDFace: Face Template Protection for Efficient and Secure Identification
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Video Instruction Tuning With Synthetic Data
Dark-EvGS: Event Camera as an Eye for Radiance Field in the Dark
Evolutionary dynamics under coordinated reciprocity
My Lockdown Escape: Sparking Self-Empathy in the Context of the Covid-19 Pandemic
Qualitative shape representation based on the qualitative relative direction and distance calculus eOPRAm
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs
"Show Me You Comply... Without Showing Me Anything": Zero-Knowledge Software Auditing for AI-Enabled Systems
Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions
Structured linear fractional parametric controller design with H ∞ performances
Exact Regenerating Codes for Distributed Storage
Integer sequences that are generalized weights of a linear code
KeyframeFace: From Text to Expressive Facial Keyframes
Self-Imitation Learning in Sparse Reward Settings
Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis
Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings
A 1d convolutional network for leaf and time series classification
Distributed Coordination of Charging Stations Considering Aggregate EV Power Flexibility
Feature Selection for Bayesian Evaluation of Trauma Death Risk
AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI
Tight lower bounds for the complexity of multicoloring
Community structure of complex software systems: Analysis and applications
Design of a novel convex hull based feature set for recognition of isolated handwritten Roman numerals
Smaller generalization error derived for deep compared to shallow residual neural networks
Ensemble Knowledge Distillation for Machine Learning Interatomic Potentials
No fixed point guarantee of Nash equilibrium in quantum games
Structured Extraction of Vulnerabilities in OpenVAS and Tenable WAS Reports Using LLMs
Integrating Forecasting Models Within Steady-State Analysis and Optimization
A Note on the Hardness of Problems from Cryptographic Group Actions
Challenges of Securing Massively Multiplayer Online Games
Specification and Compilation of Event-driven SDN Programs
Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico
Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction
Decision Taking as a Service
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
Understanding human-human interactions: a survey
Protecting Time Series Data with Minimal Forecast Loss
Property Testing for Ocean Models. Can We Specify It? (Invited Talk)
A Hierarchical Deep Learning Approach for Minority Instrument Detection
DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
Magic Mirror: ID-Preserved Video Generation in Video Diffusion Transformers
Finding quantum partial assignments by search-to-decision reductions
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
WOMAC: A Mechanism For Prediction Competitions
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Reinforcement Learning Assisted Recursive QAOA
Rewriting Calculus: Foundations and Applications
Avoiding Pragmatic Oddity: A Bottom-up Defeasible Deontic Logic
WildFrame: Comparing Framing in Humans and LLMs on Naturally Occurring Texts
Strategic Communication via Cascade Multiple Description Network
The Post-Quantum Cryptography Transition: Making Progress, But Still a Long Road Ahead
Models of Homotopy Type Theory with an Interval Type
Semantic and Contrast-Aware Saliency
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows
Analyzing Journal Category Assignment Using a Paper-level Classification System: Multidisciplinary Sciences Journals
DPAttack: Diffused Patch Attacks against Universal Object Detection
Generalized sparse Bayesian learning and application to image reconstruction
Enhancing Communications and Sensing Simultaneously by Zero-Order Optimization of MTS
Line Segment Detection Using Transformers without Edges
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models
Efficient dot product over word-size finite fields
Delay and Power-Optimal Control in Multi-Class Queueing Systems
Gunrock: A High-Performance Graph Processing Library on the GPU
Editorial introduction: The power of words and networks
Price Setting on a Network
A Note on IC-Planar Graphs
Fraud detection in telephone conversations for financial services using linguistic features
Volume and leaf area calculation of cabbage with a neural network-based instance segmentation
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement
Knowledge-intensive Language Understanding for Explainable AI
FADPNet: Frequency-Aware Dual-Path Network for Face Super-Resolution
Neighborhood Rough Set based Multi-document Summarization
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
360 Quantified Self
Symmetrical Dispersion Compensation For High Speed Optical Links
Monte Carlo Study of Patchy Nanostructures Self-Assembled from a Single Multiblock Chain
Evaluating Contrast Localizer for Identifying Causal Units in Social & Mathematical Tasks in Language Models
Data Augmentation as Feature Manipulation: a story of desert cows and grass cows
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions
Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling
Lessons Learned So Far From a Community Effort to Verify the Rust Standard Library (work-in-progress)
Data-driven Structured Realization
Desiree: a Refinement Calculus for Requirements Problems
Built-in Elastic Transformations for Improved Robustness
Connectivity of Millimeter Wave Networks with Multi-hop Relaying
A novel decision fusion approach for sale price prediction using Elastic Net and MOPSO
A Very Fast Algorithm for Matrix Factorization
Noise-Enabled Goal Attainment in Crowded Collectives
A Guide to Particle Advection Performance
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation
A Surrogate Model for Quay Crane Scheduling Problem
Trajectory Synthesis for a UAV Swarm to Perform Resilient Requirement-Aware Surveillance: A Smart Grid-based Study
OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
Encoding Cryptographic Functions to SAT Using Transalg System
Control of Networked Systems by Clustering: The Degree of Freedom Concept
Packing Rotating Segments
Optimization of Partial Search
Exploring the Impact of Socio-Technical Core-Periphery Structures in Open Source Software Development
Langevin Cooling for Domain Translation
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks
The Privacy-Welfare Trade-off: Effects of Differential Privacy on Influence & Welfare in Social Choice
MCTS-EP: Empowering Embodied Planning with Online Preference Optimization
Motif Counting in Complex Networks: A Comprehensive Survey
Objective and Subjective Solomonoff Probabilities in Quantum Mechanics
Evaluation Metrics for Text Data Augmentation in NLP
CellPainTR: Generalizable Representation Learning for Cross-Dataset Cell Painting Analysis
Bin Packing/Covering with Delivery: Some variations, theoretical results and efficient offline algorithms
Natural Numerical Networks for Natura 2000 habitats classification by satellite images
CNN-DRL for Scalable Actions in Finance
ModeliHub: A Web-based, Federated Analytics Platform for Modelica-centric, Model-based Systems Engineering
3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering
Network Topology Inference with Sparsity and Laplacian Constraints
Generating 56-bit passwords using Markov Models (and Charles Dickens)
Conversion Methods for Improving Structural Analysis of Differential-Algebraic Equation Systems
Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking
Improved Masked Image Generation with Knowledge-Augmented Token Representations
Is There a Case for Conversation Optimized Tokenizers in Large Language Models?
Arc travel time and path choice model estimation subsumed
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wild
Decision-Focused Learning for Neural Network-Constrained Optimization: Application to HVAC Management System
Contraction-Based Sparsification in Near-Linear Time
Adaptive Model Predictive Control of a Batch Solution Polymerization Process using Trajectory Linearization
Weighted Notions of Fairness with Binary Supermodular Chores
Three dimension visualization by ray-tracing image synthesis on GPU
Space-Efficient Non-Interactive Verification Enhancing Arbitrary Secret Sharing Schemes By Adding Cheater Detection Capabilities
Distance Measure Based on an Embedding of the Manifold of K-Component Gaussian Mixture Models into the Manifold of Symmetric Positive Definite Matrices
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking
A Model-based Projection Technique for Segmenting Customers
The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN
Service Pet Robot Design: Queer, Feminine and Sexuality Aspects
Towards Understanding Generalization in Gradient-Based Meta-Learning
AI-Integrated Decision Support System for Real-Time Market Growth Forecasting and Multi-Source Content Diffusion Analytics
Highlight Specular Reflection Separation based on Tensor Low-rank and Sparse Decomposition Using Polarimetric Cues
Channel Assignment in Uplink Wireless Communication using Machine Learning Approach
Totally and Partially Ordered Hierarchical Planners in PDDL4J Library
Adaptive Neural Layer for Globally Filtered Segmentation
On the Status of Foundation Models for SAR Imagery
A syntactic tool for proving hardness in the Second Level of the Polynomial-Time Hierarchy
MIMO Input-Output Linearization with Applications for Longitudinal Flight Dynamics
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery
Parameter Reduction in Probabilistic Critical Time Evaluation Using Sensitivity Analysis and PCA
Multi-Objective Reinforcement Learning for Power Grid Topology Control
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference
Multi-User Multi-Device-Aware Access Control System for Smart Home
ComfyGI: Automatic Improvement of Image Generation Workflows
A novel text representation which enables image classifiers to perform text classification, applied to name disambiguation
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models
Phy124: Fast Physics-Driven 4D Content Generation from a Single Image
SLA-Awareness for AI-assisted coding
Electrophoretic Molecular Communication with Time-Varying Electric Fields
MIMO-Zak-OTFS with Superimposed Spread Pilots
Sparse and Structured Visual Attention
Modeling enzyme temperature stability from sequence segment perspective
Global approximation to the Boys functions for vectorized computation
Energy-Efficient Multiprocessor Scheduling for Flow Time and Makespan
Indices to Quantify the Ranking of Arabic Journals and Research Output
General Multi-State Rework Network and Reliability Algorithm
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Fair Causal Feature Selection
NEAT: Concept driven Neuron Attribution in LLMs
Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization
Moving Stuff Around: A study on efficiency of moving documents into memory for Neural IR models
Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems
Predicting online user behaviour using deep learning algorithms
Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection
AtGCN: A Graph Convolutional Network For Ataxic Gait Detection
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT
Causal Interpretations in Observational Studies: The Role of Sociocultural Backgrounds and Team Dynamics
Modular exponentiation of matrices on FPGA-s
BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
DAM-GAN : Image Inpainting using Dynamic Attention Map based on Fake Texture Detection
On the Generalised Colouring Numbers of Graphs that Exclude a Fixed Minor
Preconvergence of the randomized extended Kaczmarz method
Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Roman Scripts in a Real World Setting
On the Performance of ConvNet Features for Place Recognition
Cataloging the Visible Universe through Bayesian Inference at Petascale
Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
Analysis of Secondary Effects in Roadside mmWave Backhaul Networks
Coexistence of 11.2Tb/s Carrier-Grade Classical Channels and a DV-QKD Channel over a 7-Core Multicore Fibre
HelPal: A Search System for Mobile Crowd Service
Two Channel Audio Zooming System For Smartphone
A Geometric Approach to Solve Fuzzy Linear Systems of Differential Equations
Modelling graph dynamics in fraud detection with "Attention"
Clique Cover of Graphs with Bounded Degeneracy
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow
Generalize across Homophily and Heterophily: Hybrid Spectral Graph Pre-Training and Prompt Tuning
New perturbation bounds for low rank approximation of matrices via contour analysis
LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network
Practicing a Second Language Without Fear: Mixed Reality Agents for Interactive Group Conversation
A Steklov-spectral approach for solutions of Dirichlet and Robin boundary value problems
Unrolling Swiss Cheese: Metric repair on manifolds with holes
Pluggable AOP: Designing Aspect Mechanisms for Third-party Composition
Data Fine-tuning
Searching Personal Collections
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations
Agentic Web: Weaving the Next Web with AI Agents
Robust fast method for variable-order time-fractional diffusion equations without regularity assumptions
Untraceable DeepFakes via Traceable Fingerprint Elimination
Attendre: Wait To Attend By Retrieval With Evicted Queries in Memory-Based Transformers for Long Context Processing
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm
Lecture II: Communicative Justice and the Distribution of Attention
Position: There are no Champions in Long-Term Time Series Forecasting
Geometric spanners of bounded tree-width
Towards Task and Architecture-Independent Generalization Gap Predictors
A Fast Approach to Minimum Curvature Raceline Planning via Probabilistic Inference
Breaking MLPerf Training: A Case Study on Optimizing BERT
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
Network Level Evaluation of Hangup Susceptibility of HRGCs using Deep Learning and Sensing Techniques: A Goal Towards Safer Future
Mathematical modelling of an unstable bent flow using the selective frequency damping method
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
The Stein-log-Sobolev inequality and the exponential rate of convergence for the continuous Stein variational gradient descent method
Differentially Private GANs for Generating Synthetic Indoor Location Data
NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
Fast and Robust Iterative Closet Point
Analysis of Large-scale Traffic Dynamics using Non-negative Tensor Factorization
Depth-aware Glass Surface Detection with Cross-modal Context Mining
Hybrid Nitsche for distributed computing
NViT: Vision Transformer Compression and Parameter Redistribution
A Neural Network Alternative to Non-Negative Audio Models
HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity
Flexible Interpretations: A Computational Model for Dynamic Uncertainty Assessment
AIFloodSense: A Global Aerial Imagery Dataset for Semantic Segmentation and Understanding of Flooded Environments
ConFides: A Visual Analytics Solution for Automated Speech Recognition Analysis and Exploration
Autoformalizing and Simulating Game-Theoretic Scenarios using LLM-augmented Agents
I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis
Top-k densest subgraphs in sliding-window graph streams
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition
On the robustness of kernel-based pairwise learning
Adversarial Examples from Cryptographic Pseudo-Random Generators
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks
Mathematical Models of Adaptation in Human-Robot Collaboration
Gesture Based Interaction NUI: An Overview
Towards LLM-RecSys Alignment with Textual ID Learning