yusuke1997/dblp-id-title huggingface dataset:
Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
Dynamic Regret of Policy Optimization in Non-stationary Environments
Large Language Models Pass the Turing Test
Fast Integrity Verification for High-Speed File Transfers
Variational Measure Preserving Flows
CCS: Continuous Learning for Customized Incremental Wireless Sensing Services
S-box Security Analysis of NIST Lightweight Cryptography Candidates: A Critical Empirical Study
Intrinsic Voltage Offsets in Memcapacitive Bio-Membranes Enable High-Performance Physical Reservoir Computing
The high-order block RIP for non-convex block-sparse compressed sensing
Geometrically exact isogeometric Bernoulli-Euler beam based on the Frenet-Serret frame
Green HPC: An analysis of the domain based on Top500
Non-Pharmaceutical Intervention Discovery with Topic Modeling
Augmenting Human-Centered Racial Covenant Detection and Georeferencing with Plug-and-Play NLP Pipelines
Language-Guided Long Horizon Manipulation with LLM-based Planning and Visual Perception
Optimal Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency
Privacy in Index Coding: k-Limited-Access Schemes
Self-supervised Graph Neural Networks without explicit negative sampling
A New Analysis of the DS-CDMA Cellular Uplink Under Spatial Constraints
MemInsight: Autonomous Memory Augmentation for LLM Agents
A Framework For Pruning Deep Neural Networks Using Energy-Based Models
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach
Optimally Teaching a Linear Behavior Cloning Agent
Topic Modeling Based Extractive Text Summarization
Risk Assessment Algorithms Based On Recursive Neural Networks
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment
DeltaDQ: Ultra-High Delta Compression for Fine-Tuned LLMs via Group-wise Dropout and Separate Quantization
C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Physics-informed Deep Super-resolution for Spatiotemporal Data
Navigation Pixie: Implementation and Empirical Study Toward On-demand Navigation Agents in Commercial Metaverse
Variational Autoencoders-based Detection of Extremes in Plant Productivity in an Earth System Model
On efficient normal bases over binary fields
Regularized Momentum Iterative Hessian Sketch for Large Scale Linear System of Equations
Relevance ranking for proximity full-text search based on additional indexes with multi-component keys
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
Towards NSFW-Free Text-to-Image Generation via Safety-Constraint Direct Preference Optimization
Dual-label Deep LSTM Dereverberation For Speaker Verification
AIM-Bench: Evaluating Decision-making Biases of Agentic LLM as Inventory Manager
Quantifying Holistic Review: A Multi-Modal Approach to College Admissions Prediction
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations
GuidelineGuard: An Agentic Framework for Medical Note Evaluation with Guideline Adherence
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble Architectures
Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems
Learning solution operators of PDEs defined on varying domains via MIONet
From Shapley back to Pearson: Hypothesis Testing via the Shapley Value
Maximum Sum Rate of Slotted Aloha with Successive Interference Cancellation
Multilevel Stochastic Gradient Descent for Optimal Control Under Uncertainty
Get rid of inline assembly through trustable verification-oriented lifting
Hardness as randomness: a survey of universal derandomization
Profiling Software Developers with Process Mining and N-Gram Language Models
PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection
Toward Data-Driven Radar STAP
Multiple-Choice Question Generation: Towards an Automated Assessment Framework
Data augmentation and image understanding
Visualization and Selection of Dynamic Mode Decomposition Components for Unsteady Flow
Faster Discovery of Faster System Configurations with Spectral Learning
A polynomial approximation scheme for nonlinear model reduction by moment matching
Riemannian-based Discriminant Analysis for Feature Extraction and Classification
Efficient Entropy for Policy Gradient with Multidimensional Action Space
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems
Learn to Unlearn: A Survey on Machine Unlearning
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
Decomposition of RSA modulus applying even order elliptic curves
Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric
Constructing Behavior Trees from Temporal Plans for Robotic Applications
Exploring Unseen Environments with Robots using Large Language and Vision Models through a Procedurally Generated 3D Scene Representation
Dynamic locational marginal emissions via implicit differentiation
Enhancing the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
Rethinking the Upsampling Layer in Hyperspectral Image Super Resolution
Decentralised Traffic Incident Detection via Network Lasso
Usage of Porous Al2O3 Layers for RH Sensing
Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information
EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion
Technical Report: Accelerating Dynamic Graph Analytics on GPUs
Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics
An Event Based Approach To Situational Representation
Neural Architecture Search in operational context: a remote sensing case-study
AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
SEA-SafeguardBench: Evaluating AI Safety in SEA Languages and Cultures
Adaptive Machine Learning-Driven Multi-Fidelity Stratified Sampling for Failure Analysis of Nonlinear Stochastic Systems
Exploring wav2vec 2.0 on speaker verification and language identification
Identifiability of Deep Polynomial Neural Networks
A numerical algorithm for computing the zeros of parabolic cylinder functions in the complex plane
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation
Charting Coordination Needs in Large-Scale Agile Organisationswith Boundary Objects and Methodological Islands
PWG-IDS: An Intrusion Detection Model for Solving Class Imbalance in IIoT Networks Using Generative Adversarial Networks
PDO-eS 2 CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings
Functional Magnetic Resonance Imaging and the Challenge of Balancing Human Security with State Security
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
Pushdown automata, lambda-graph systems and C*-algebras
Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation
NationalMood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Some Remarks on Counting Propositional Logic
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors
Text-to-SQL Task-oriented Dialogue Ontology Construction
Measuring affective states from technical debt: A psychoempirical software engineering experiment
A Bi-clustering Framework for Consensus Problems
Continual Hyperbolic Learning of Instances and Classes
𝓁 p Slack Norm Support Vector Data Description
Nonlinear Approximation via Compositions
Clinical Risk Prediction Using Language Models: Benefits And Considerations
UAV-based Maritime Communications: Relaying to Enhance the Link Quality
Coresets for Multiple ℓ p Regression
A Survey of Large Language Models for Arabic Language and its Dialects
Nonlinear Moment Matching for the Simulation-Free Reduction of Structural Systems
FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization
Control of bilinear systems using gain-scheduling: Stability and performance guarantees
Epidemic modelling requires knowledge of the social network
Preserving The Safety And Confidentiality Of Data Mining Information In Health Care: A literature review
PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models
Op-Fed: Opinion, Stance, and Monetary Policy Annotations on FOMC Transcripts Using Active Learning
One Model to Forecast Them All and in Entity Distributions Bind Them
Control-Oriented Modeling and Layer-to-Layer Spatial Control of Powder Bed Fusion Processes
Associative Memory Model with Neural Networks: Memorizing multiple images with one neuron
Modular approach to data preprocessing in ALOHA and application to a smart industry use case
PanoGAN A Deep Generative Model for Panoramic Dental Radiographs
Tight is better: Performance Improvement of the Compressive Classifier Using Equi-Norm Tight Frames
Sample Complexity of Linear Quadratic Regulator Without Initial Stability
Stateful Behavioral Types for ABS
Deep Learning based 3D Segmentation: A Survey
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process
On Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics
Minimum Labelling bi-Connectivity
Image-To-Mesh Conversion for Biomedical Simulations
A direct formulation for sparse PCA using semidefinite programming
Fair clustering via equitable group representations
A Total Fractional-Order Variation Model for Image Restoration with Non-homogeneous Boundary Conditions and its Numerical Solution
Singularity of Sparse Circulant Matrices is NP-complete
OccRobNet : Occlusion Robust Network for Accurate 3D Interacting Hand-Object Pose Estimation
Efficient Sampling for Predictor-Based Neural Architecture Search
Time Transitive Functions for Zero Knowledge Proofs
Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach
Functional Tucker approximation using Chebyshev interpolation
306-321 GHz Wideband Channel Measurement and Analysis in an Indoor Lobby
Multi-Scale Correlation-Aware Transformer for Maritime Vessel Re-Identification
Interference and Congestion Aware Gradient Broadcasting Routing for Wireless Sensor Networks
On Solving Structured SAT on Ising Machines: A Semiprime Factorization Study
Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment
Learning how to Prove: From the Coq Proof Assistant to Textbook Style
On the convergence of gradient descent for two layer neural networks
State Estimation - The Role of Reduced Models
Algebraic Notions of Termination
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise
Retinal Ganglion Cell Stimulation with an Optically Powered Retinal Prosthesis
Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development
Circle detection using isosceles triangles sampling
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout
Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
Learning Anthropometry from Rendered Humans
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications
Increasing Air Traffic: What is the Problem?
ConSens: Assessing context grounding in open-book question answering
Large Language Models for Behavioral Economics: Internal Validity and Elicitation of Mental Models
A Deep Learning-Driven Pipeline for Differentiating Hypertrophic Cardiomyopathy from Cardiac Amyloidosis Using 2D Multi-View Echocardiography
Octave-YOLO: Cross frequency detection network with octave convolution
Recent Advances in Computational Methods for the Power Flow Equations
Biometric Identification Systems With Both Chosen and Generated Secret Keys by Allowing Correlation
Sum Capacity of the Gaussian Interference Channel in the Low Interference Regime
Prosocial Media
Dynamically Optimal Unraveling Schemes for Simulating Lindblad Equations
Identifying Mixtures of Bayesian Network Distributions
Diffusion Models for Generating Ballistic Spacecraft Trajectories
Blind-date Conversation Joining
Solvability of HornSAT and CNFSAT
Accelerated Multiple Precision Direct Method and Mixed Precision Iterative Refinement on Python Programming Environment
Post-Training Quantization for Cross-Platform Learned Image Compression
Non-polynomial divided difference and blossoming
Propeller damage detection, classification and estimation in multirotor vehicles
Asphalt Concrete Characterization Using Digital Image Correlation: A Systematic Review of Best Practices, Applications, and Future Vision
Test Case Generation and Test Oracle Support for Testing CPSs using Hybrid Models
Reductive MDPs: A Perspective Beyond Temporal Horizons
CryptoEval: Evaluating the Risk of Cryptographic Misuses in Android Apps with Data-Flow Analysis
PRETRUST: A Framework for Fast Payments in Blockchain System
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation
Metall: A Persistent Memory Allocator For Data-Centric Analytics
Systematic Hazard Analysis for Frontier AI using STPA
Graph edit distance : a new binary linear programming formulation
Power Allocation for Secure SWIPT Systems with Wireless-Powered Cooperative Jamming
An Adaptive Markov Process for Robot Deception
Tsallis and Rényi deformations linked via a new λ-duality
The mathematical law of evolutionary information dynamics and an observer's evolution regularities
A Survey of Foundation Models for Music Understanding
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignment
An attention-based deep learning network for predicting Platinum resistance in ovarian cancer
How to Train Text Summarization Model with Weak Supervisions
Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions
SWIFT: A Monotonic, Flux-Form Semi-Lagrangian Tracer Transport Scheme for Flow with Large Courant Numbers
Completion ≠ Collaboration: Scaling Collaborative Effort with Agents
Unsupervised language models for disease variant prediction
Multi-agent coordination for data gathering with periodic requests and deliveries
Detection and Mitigation of Rare Subclasses in Neural Network Classifiers
Natural Language Processing for Requirements Traceability
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games
Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution
Perspectives on neural proof nets
Denoising Diffusion Restoration Tackles Forward and Inverse Problems for the Laplace Operator
Safe Navigation in Dynamic Environments using Density Functions
Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads
Research and Analysis of Employers' Opinion on the Necessary Skills that Students in the Field of Web Programming Should Possess
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine
ε-VAE: Denoising as Visual Decoding
Lifting Datalog-Based Analyses to Software Product Lines
Enabling NAS with Automated Super-Network Generation
Rethinking embedding coupling in pre-trained language models
An active curve approach for tomographic reconstruction of binary radially symmetric objects
Non-maximal sensitivity to synchronism in periodic elementary cellular automata: exact asymptotic measures
Approximation of SDEs - a stochastic sewing approach
Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization
A BERT Baseline for the Natural Questions
Opening the black box of language acquisition
Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports
Self-supervised self-supervision by combining deep learning and probabilistic logic
Think out of the package: Recommending package types for e-commerce shipments
A highly maneuverable flying squirrel drone with agility-improving foldable wings
Enhanced DeepONet for 1-D consolidation operator learning: an architectural investigation
Near-Lossless Model Compression Enables Longer Context Inference in DNA Large Language Models
Transformer-based Ranking Approaches for Keyword Queries over Relational Databases
Mercury: QoS-Aware Tiered Memory System
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone
A Dataset and Benchmark for Consumer Healthcare Question Summarization
A Multi-agent Framework for Performance Tuning in Distributed Environment
Resource-constrained stereo singing voice cancellation
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection
Sequential Information Guided Sensing
GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation
Robotic Tankette for Intelligent BioEnergy Agriculture: Design, Development and Field Tests
Online Learning and Planning in Partially Observable Domains without Prior Knowledge
Judging by the Look: The Impact of Robot Gaze Strategies on Human Cooperation
Ultracoarse Equilibria and Ordinal-Folding Dynamics in Operator-Algebraic Models of Infinite Multi-Agent Games
ACE-SLAM: Scene Coordinate Regression for Neural Implicit Real-Time SLAM
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata
FREE: Uncertainty-Aware Autoregression for Parallel Diffusion Transformers
Generalizing in the Real World with Representation Learning
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
Adaptive Transformer Attention and Multi-Scale Fusion for Spine 3D Segmentation
A discontinuous Galerkin method for one-dimensional nonlocal wave problems
Comparing Two Different Approaches in Big Data and Business Analysis for Churn Prediction with the Focus on How Apache Spark Employed
Scheduling and Tiling Reductions on Realistic Machines
Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
A Non-Blind Watermarking Scheme for Gray Scale Images in Discrete Wavelet Transform Domain using Two Subbands
Recursive and non-recursive filters for sequential smoothing and prediction with instantaneous phase and frequency estimation applications (extended version)
A finite difference method for the variational p-Laplacian
Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy
Strategic Bidding in an Accumulating Priority Queue: Equilibrium Analysis
Using PCA and Factor Analysis for Dimensionality Reduction of Bio-informatics Data
Renewable Energy Integration in Distribution System - Synchrophasor Sensor based Big Data Analysis, Visualization, and System Operation
Privacy-Preserving Distributed Control for a Networked Battery Energy Storage System
Mobile phone data for public health: towards data-sharing solutions that protect individual privacy and national security
Unveiling Malicious Logic: Towards a Statement-Level Taxonomy and Dataset for Securing Python Packages
Complexity of the Game Domination Problem
Dynamic Switched Quantum Key Distribution Network with PUF-based authentication
Faster Smarter Induction in Isabelle/HOL with SeLFiE
Kuroda's Translation for Higher-Order Logic
Scatterbrain: Unifying Sparse and Low-rank Attention Approximation
Revisiting the Message Passing in Heterophilous Graph Neural Networks
Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images
First-order store and visibility in name-passing calculi
A collection of definitions and fundamentals for a design-oriented inductor model
Simple exponential acceleration of the power iteration algorithm
Context-aware Fine-tuning of Self-supervised Speech Models
ImageR: Enhancing Bug Report Clarity by Screenshots
Communication complexity and the reality of the wave-function
Outage Capacity of Rayleigh Product Channels: a Free Probability Approach
A Near-Real-Time Reduction-Based Algorithm for Coloring Massive Graphs
LaneDiffusion: Improving Centerline Graph Learning via Prior Injected BEV Feature Generation
Memory-Augmented Architecture for Long-Term Context Handling in Large Language Models
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction
The Edge of Depth: Explicit Constraints between Segmentation and Depth
A Novel Scattered Pilot Design for FBMC/OQAM Systems
eFedLLM: Efficient LLM Inference Based on Federated Learning
A comparative study for interpreting deep learning prediction of the Parkinson's disease diagnosis from SPECT imaging
Self-supervised Contrastive Learning for Volcanic Unrest Detection
A fast reduced order method for linear parabolic inverse source problems
An Energy-Stable Parametric Finite Element Method for Simulating Solid-state Dewetting Problems in Three Dimensions
Optimal Power Allocation for Distributed BLUE Estimation with Linear Spatial Collaboration
BiLO: Bilevel Local Operator Learning for PDE inverse problems
Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection
Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming
Novelty-Prepared Few-Shot Classification
A data science approach to drug safety: Semantic and visual mining of adverse drug events from clinical trials of pain treatments
Total variation with overlapping group sparsity for image deblurring under impulse noise
An Empirical Study of the Relationships between Code Readability and Software Complexity
Enhancing Self-Training Methods
Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning
H 2 Optimal Model Order Reduction over a Finite Time Interval
Efficiently Processing Workflow Provenance Queries on SPARK
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
CreativeVR: Diffusion-Prior-Guided Approach for Structure and Motion Restoration in Generative and Real Videos
'Memory States' from Almost Nothing: Representing and Computing in a Non-associative Algebra
Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth
Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy
nD-PDPA: nDimensional Probability Density Profile Analysis
Automated Text Scoring in the Age of Generative AI for the GPU-poor
Making Sense of Learning Log Data
Forecasting Foreign Exchange Rates With Parameter-Free Regression Networks Tuned By Bayesian Optimization
A multi-modal representation of El Niño Southern Oscillation Diversity
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data
Exact Algorithms for 0-1 Integer Programs with Linear Equality Constraints
Linguistic features for sentence difficulty prediction in ABSA