yusuke1997/dblp-id-title huggingface dataset:
Truncated nuclear norm regularization for low-rank tensor completion
Robust Assignments with Vulnerable Nodes
Extending Snow's algorithm for computations in the finite Weyl groups
Immersive and Interactive Visualization of 3D Spatio-Temporal Data using a Space Time Hypercube
Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity
Ready, set, Go! Data-race detection and the Go language
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding in Open World
How Can CNNs Use Image Position for Segmentation?
MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model
Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning
Learning Representational Invariances for Data-Efficient Action Recognition
Incomplete MaxSAT Approaches for Combinatorial Testing
Generation, Ranking and Unranking of Ordered Trees with Degree Bounds
Detection of Adversarial Physical Attacks in Time-Series Image Data
Curbing cyber-crime and Enhancing e-commerce security with Digital Forensics
Towards Error Centric Intelligence I, Beyond Observational Learning
Introducing v0.5 of the AI Safety Benchmark from MLCommons
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations
A hybrid marketplace of ideas
Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating Rooms
A/B Testing Measurement Framework for Recommendation Models Based on Expected Revenue
Research Explosion: More Effort to Climb onto Shoulders of the Giant
GCCN: Global Context Convolutional Network
Vertex 2-coloring without monochromatic cycles
Accelerating Large-scale Data Exploration through Data Diffusion
The Fast Cauchy Transform: with Applications to Basis Construction, Regression, and Subspace Approximation in L1
A General-Purpose Device for Interaction with LLMs
RSMA-Enabled Covert Communications Against Multiple Spatially Random Wardens
On Investigating EMD Parameters to Search for Gravitational Waves
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation
Quantum arithmetic and numerical analysis using Repeat-Until-Success circuits
Corpus Phonetics Tutorial
Enhancing PINN Performance Through Lie Symmetry Group
Communication Efficient Distributed Learning over Wireless Channels
Medical Data Asset Management and an Approach for Disease Prediction using Blockchain and Machine Learning
Modeling and Simulating Network Connectivity in Routing Protocols for MANETs and VANETs
The Fibers and Range of Reduction Graphs in Ciliates
The software design of Gridap: a Finite Element package based on the Julia JIT compiler
Power- and Spectrally-Efficient Network Access for Cellular Machine-Type Communications
Complexity of the Ackermann fragment with one leading existential quantifier
On the Information Engine of Circuit Design
New Algorithms for Multiplayer Bandits when Arm Means Vary Among Players
Collaborative Prediction: Tractable Information Aggregation via Agreement
A note on Shannon entropy
Numerical solution of a matrix integral equation arising in Markov Modulated Lévy processes
Extended virtual element method for two-dimensional linear elastic fracture
Balancing Garbage Collection vs I/O Amplification using hybrid Key-Value Placement in LSM-based Key-Value Stores
A primer on model-guided exploration of fitness landscapes for biological sequence design
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science
Vision Transformers are Circulant Attention Learners
Shadow Lagrangian dynamics for superfluidity
Quantum and Classical Algorithms for Approximate Submodular Function Minimization
Exploration of A Self-Supervised Speech Model: A Study on Emotional Corpora
A Greedy Algorithm for Matrix Recovery with Subspace Prior Information
Dialectics for Artificial Intelligence
Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge
On the convergence of the IRLS algorithm in Non-Local Patch Regression
Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search
Geodesic Paths On 3D Surfaces: Survey and Open Problems
Towards Black-box Attacks on Deep Learning Apps
Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives
A framework for covert and secret key expansion over quantum channels
Primitive-Planner: An Ultra Lightweight Quadrotor Planner with Time-optimal Primitives
How Large Language Models (LLMs) Extrapolate: From Guided Missiles to Guided Prompts
CXLMemSim: A pure software simulated CXL.mem for performance characterization
Adversary lower bounds in the Hamiltonian oracle model
Con-Patch: When a Patch Meets its Context
Measuring city-scale green infrastructure drawdown dynamics using internet-connected sensors in Detroit
Boundary solution based on rescaling method: recoup the first and second-order statistics of neuron network dynamics
Creating generalizable downstream graph models with random projections
Implicit Generative Prior for Bayesian Neural Networks
Chengyu-Bench: Benchmarking Large Language Models for Chinese Idiom Understanding and Use
Data compression of dynamic set-valued information systems
Perfecting the Crime Machine
Knowledge Learning with Crowdsourcing: A Brief Review and Systematic Perspective
Auto-encoding graph-valued data with applications to brain connectomes
On the Power Saving in High-Speed Ethernet-based Networks for Supercomputers and Data Centers
Zarankiewicz's problem via ε-t-nets
Aspis: A Robust Detection System for Distributed Learning
Parameter-free Gradient Temporal Difference Learning
V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction
LAURA: LLM-Assisted UAV Routing for AoI Minimization
Developing an Explainable Artificial Intelligent (XAI) Model for Predicting Pile Driving Vibrations in Bangkok's Subsoil
Attack-Defense Quantification Based On Game-Theory
Fractal and Regular Geometry of Deep Neural Networks
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Paper Quality Assessment based on Individual Wisdom Metrics from Open Peer Review
An approach to RAID-6 based on cyclic groups of a prime order
Mutation-driven Test Case Generation Using Short-lived Concurrent Mutants - First Results
Studying and Classification of the Most Significant Malicious Software
Compiling Quantum Circuits to Realistic Hardware Architectures using Temporal Planners
On the Relation Between Mobile Encounters and Web Traffic Patterns: A Data-driven Study
Entropy NAND: Early Functional Completeness in Entropy Networks
Commutative-like Encryption: A New Characterization of ElGamal
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients
Cosmos 1.0: a multidimensional map of the emerging technology frontier
Measurement-Based Wide-Area Damping of Inter-Area Oscillations based on MIMO Identification
Simplicial Closure and Higher-order Link Prediction
Evaluation of Machine Learning Algorithms for Intrusion Detection System
UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
A Sound and Complete Substitution Algorithm for Multimode Type Theory: Technical Report
An Approach For Stitching Satellite Images In A Bigdata Mapreduce Framework
Deep Optical Coding Design in Computational Imaging
Detecting events and key actors in multi-person videos
How precise are performance estimates for typical medical image segmentation tasks?
Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation
Adding LLMs to the psycholinguistic norming toolbox: A practical guide to getting the most out of human ratings
ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle
I Prompt, it Generates, we Negotiate. Exploring Text-Image Intertextuality in Human-AI Co-Creation of Visual Narratives with VLMs
Checkpoint/Restart for Lagrangian particle mesh with AMR in community code FLASH-X
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization
SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation
Property-Preserving Hashing for ℓ 1 -Distance Predicates: Applications to Countering Adversarial Input Attacks
Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents
Bandlimited Field Reconstruction for Wireless Sensor Networks
AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification
Can AI Understand Human Personality? - Comparing Human Experts and AI Systems at Predicting Personality Correlations
Theseus: Towards High-Efficiency Wafer-Scale Chip Design Space Exploration for Large Language Models
Scaling 3D Reasoning with LMMs to Large Robot Mission Environments Using Datagraphs
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability
Redactable Blockchains: An Overview
Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT
Half-Duplex or Full-Duplex Communications: A Capacity Analysis under Self-Interference
Sample-Optimal Zero-Violation Safety For Continuous Control
From Propagation to Prediction: Point-level Uncertainty Evaluation of MLS Point Clouds under Limited Ground Truth
DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks
A Non-Parametric Control Chart For High Frequency Multivariate Data
A Fast Dictionary Learning Method for Coupled Feature Space Learning
Blockchains: a Systematic Multivocal Literature Review
Non-Iterative Symbolic-Aided Chain-of-Thought for Logical Reasoning
Rational invariants of ternary forms under the orthogonal group
Thermodynamic Matrix Exponentials and Thermodynamic Parallelism
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation
NFR: Neural Feature-Guided Non-Rigid Shape Registration
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction
Adversarial Path Planning for Optimal Camera Positioning
Probabilistic K-means Clustering via Nonlinear Programming
A Double-Norm Aggregated Tensor Latent Factorization Model for Temporal-Aware Traffic Speed Imputation
Quantifying pervasive authentication: the case of the Hancke-Kuhn protocol
A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network
Logics for XML
On the mean-field limit of the Cucker-Smale model with Random Batch Method
Deep Structured Output Learning for Unconstrained Text Recognition
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
A Comparative Analysis on IoT Communication Protocols for Future Internet Applications
Frame Theory for Signal Processing in Psychoacoustics
Real-time Structural Health Monitoring System Using Internet of Things and Cloud Computing
Corporate Earnings Calls and Analyst Beliefs
Protocol Coding through Reordering of User Resources, Part I: Capacity Results
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
On H1, H(curl) and H(sym Curl) finite elements for matrix-valued Curl problems
Anderson Acceleration For Perturbed Newton Methods
Synthesizing Optimal Collective Algorithms
Study of Anomaly Detection Based on Randomized Subspace Methods in IP Networks
Multi-Objective Trajectory Planning with Dual-Encoder
SegMo: Segment-aligned Text to 3D Human Motion Generation
3D latent diffusion models for parameterizing and history matching multiscenario facies systems
Chinese Internet AS-level Topology
Revisiting Pre-analysis Information Based Rate Control in x265
Exploring Vision Language Models for Multimodal and Multilingual Stance Detection
COMIT - Cryptographically-secure Off-chain Multi-asset Instant Transaction Network
Pattern Languages as Media for the Creative Society
Algorithmic decision making and the cost of fairness
MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations
Non-Gaussian Random Generators in Bacteria Foraging Algorithm for Multiobjective Optimization
Superconvergent Discontinuous Galerkin Method for the Scalar Teukolsky Equation on Hyperboloidal Domains: Efficient Waveform and Self-Force Computation
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing
An Efficient Method For Multichannel Wireless Mesh Networks With Pulse Coupled Neural Network
Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation
Lustre, Hadoop, Accumulo
Multi and Independent Block Approach in Public Cluster
The evolution of turbulence theories and the need for continuous wavelets
SAGE: Saliency-Guided Contrastive Embeddings
Adding an Implication to Logics of Perfect Paradefinite Algebras
Distributed States Temporal Logic
Information Extraction From Fiscal Documents Using LLMs
StructVIO : Visual-inertial Odometry with Structural Regularity of Man-made Environments
Steady-state analysis of single exponential vacation in a PH/MSP/1/∞ queue using roots
Are Children Fully Aware of Online Privacy Risks and How Can We Improve Their Coping Ability?
Split Federated Learning Empowered Vehicular Edge Intelligence: Adaptive Parellel Design and Future Directions
Reduction Strategies in the Lambda Calculus and Their Implementation through Derivable Abstract Machines: Introduction
CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines
Low-Order Model of Biological Neural Networks
Adversarially Robust Frame Sampling with Bounded Irregularities
Global and Local Attention-based Inception U-Net for Static IR Drop Estimation
SUNNY-CP and the MiniZinc Challenge
Cascading Failures in Power Grids
A Tseng type stochastic forward-backward algorithm for monotone inclusions
Genuine onion: Simple, Fast, Flexible, and Cheap Website Authentication
First-Order Logic Theorem Proving via Counterexample-Guided Abstraction Refinement
Bandlimiting Neural Networks Against Adversarial Attacks
Boosting Accuracy and Efficiency of Budget Forcing in LLMs via Reinforcement Learning for Mathematical Reasoning
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering
Graph-based RAG Enhancement via Global Query Disambiguation and Dependency-Aware Reranking
Radio Frequency Identifiers: What are the Possibilities?
Foursquare to The Rescue: Predicting Ambulance Calls Across Geographies
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI
AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys
Session-layer Attack Traffic Classification by Program Synthesis
An Importance Sampling Scheme on Dual Factor Graphs - II. Models with Strong Couplings
Computing Bounds on L ∞ -induced Norm for Linear Time-Invariant Systems Using Homogeneous Lyapunov Functions
Low Complexity LMMSE Receiver for OTFS
Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentation
EdgeServe: An Execution Layer for Decentralized Prediction
An exercise on streams: convergence acceleration
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm
Cascade-driven opinion dynamics on social networks
Comparing RNA structures using a full set of biologically relevant edit operations is intractable
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding
A Survey On (Stochastic Fractal Search) Algorithm
Adversarial Extreme Multi-label Classification
XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search
EngravingGNN: A Hybrid Graph Neural Network for End-to-End Piano Score Engraving
SKG-LLM: Developing a Mathematical Model for Stroke Knowledge Graph Construction Using Large Language Models
Where do hard problems really exist?
Weak Form Scientific Machine Learning: Test Function Construction for System Identification
Factorization of Fact-Checks for Low Resource Indian Languages
AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering
Obvious Manipulations in Cake-Cutting
Certified data-driven physics-informed greedy auto-encoder simulator
ALBATROSS: A robotised system for high-throughput electrolyte screening via automated electrolyte formulation, coin-cell fabrication, and electrochemical evaluation
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Adaptive Discretization-based Non-Episodic Reinforcement Learning in Metric Spaces
Resilient Control under Denial-of-Service
VerilogMonkey: Exploring Parallel Scaling for Automated Verilog Code Generation with LLMs
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation
David and Goliath: Privacy Lobbying in the European Union
Graph Edge Representation via Tensor Product Graph Convolutional Representation
A Diffusion-Based Generative Equalizer for Music Restoration
Obstacle avoidance via B-spline parameterizations of flat trajectories
Introducing a novel Location-Assignment Algorithm for Activity-Based Transport Models: CARLA
Analytical Study and Efficient Evaluation of the Josephus Function
Using AI to replicate human experimental results: a motion study
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation
A Mirroring Theorem and its Application to a New Method of Unsupervised Hierarchical Pattern Classification
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models
Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents
Estimation of priors in natural images
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"
Quantifying coherence in terms of Fisher information
The current state of affairs in 5G security and the main remaining security challenges
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
Automated document processing system for government agencies using DBNET++ and BART models
A nonconforming P2 and discontinuous P1 mixed finite element on tetrahedral grids
It's All in the Mix: Wasserstein Machine Learning with Mixed Features
CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation
Patent Representation Learning via Self-supervision
Approximate Nearest Neighbor Search of Large Scale Vectors on Distributed Storage
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception
Learning Mechanism Underlying NLP Pre-Training and Fine-Tuning
Self reference in word definitions
Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
An Overview of Color Transfer and Style Transfer for Images and Videos
Multi-teacher knowledge distillation as an effective method for compressing ensembles of neural networks
SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text Images
Cloaker Catcher: A Client-based Cloaking Detection System
Robotic Arm Manipulation to Perform Rock Skipping in Simulation
Generative Image Modeling using Style and Structure Adversarial Networks
On the Internal Semantics of Time-Series Foundation Models
MM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction
ARC: Leveraging Compositional Representations for Cross-Problem Learning on VRPs
L-JacobiNet and S-JacobiNet: An Analysis of Adaptive Generalization, Stabilization, and Spectral Domain Trade-offs in GNNs
EPL: Empirical Prototype Learning for Deep Face Recognition
Similarity Decomposition Approach to Leader-Follower Oscillatory Synchronization of Networked Mechanical Systems
Multi-dimensional Skyline Query to Find Best Shopping Mall for Customers
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
Types, Tokens, and Hapaxes: A New Heap's Law
Extended Labeled Faces in-the-Wild (ELFW): Augmenting Classes for Face Segmentation
Fairness in the Multi-Secretary Problem
An Analysis of Attacks on Blockchain Consensus
One Epoch Is All You Need
Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications
What Does It Take to Get Guarantees? Systematizing Assumptions in Cyber-Physical Systems
High-Precision Online Markerless Stereo Extrinsic Calibration
Optimizing Length Compression in Large Reasoning Models
GLAN: A Graph-based Linear Assignment Network
token2vec: A Joint Self-Supervised Pre-training Framework Using Unpaired Speech and Text
MolecularWebXR: Multiuser discussions about chemistry and biology in immersive and inclusive VR
NICE-SLAM with Adaptive Feature Grids
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems
Predicting Geographic Information with Neural Cellular Automata
How can AI reduce wrist injuries in the workplace?
Sparse Detection of Non-Sparse Signals for Large-Scale Wireless Systems
Marlin: Efficient Coordination for Autoscaling Cloud DBMS (Extended Version)
denet, a lightweight command-line tool for process monitoring in benchmarking and beyond
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization
Effect of intervention policies in an agent based spatial epidemic model of Gwalior
DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF
F 2 AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns
VHDL Implementation of different Turbo Encoder using Log-MAP Decoder
An Empirical Study of DeFi Liquidations: Incentives, Risks, and Instabilities
Magnetic skyrmion artificial synapse for neuromorphic computing
Fresh-Variable Automata for Service Composition
Finetuning Generative Trajectory Model with Reinforcement Learning from Human Feedback
Dependability of UAV-Based Networks and Computing Systems: A Survey
Offsetting Unequal Competition through RL-assisted Incentive Schemes
On the security of subspace subcodes of Reed-Solomon codes for public key encryption
SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
Providing a way to create balance between reliability and delays in SDN networks by using the appropriate placement of controllers
Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities
Controllable Image Captioning
Asymptotics of Fingerprinting and Group Testing: Capacity-Achieving Log-Likelihood Decoders
Integrating Motion into Vision Models for Better Visual Prediction
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
Quantum Algorithm for Multiplicative Linear Logic
MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench
Privacy - an Issue for eLearning? A Trend Analysis Reflecting the Attitude of European eLearning Users
NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images
COVID-19 Classification Using Deep Learning Two-Stage Approach
Mitigating Large Language Model Hallucination with Faithful Finetuning
Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause
Optimal sizing of solar photovoltaic and lithium battery storage to reduce grid electricity reliance in buildings