yusuke1997/dblp-id-title huggingface dataset:
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
On the Estimation of the Time-Dependent Transmission Rate in Epidemiological Models
Globalization for Scalable Short-term Load Forecasting
GradientSurf: Gradient-Domain Neural Surface Reconstruction from RGB Video
Deep Learning-based Joint Channel Prediction and Multibeam Precoding for LEO Satellite Internet of Things
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Workforce migration and its economic implications: A perspective from social media in China
Jasmine: A New Active Learning Approach to Combat Cybercrime
An Intrinsic Barrier for Resolving P = NP (2-SAT as Flat, 3-SAT as High-Dimensional Void-Rich)
Linearization Errors in Discrete Goal-Oriented Error Estimation
Efficient Approximation Algorithms for Optimal Large-scale Network Monitoring
Applied Post Quantum Cryptography: A Practical Approach for Generating Certificates in Industrial Environments
Understanding Long Videos via LLM-Powered Entity Relation Graphs
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach
Personalized Federated Learning with Local Attention
SEQ 3 : Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
Lion: Adversarial Distillation of Closed-Source Large Language Model
Probability-constrained Power Optimization for Multiuser MISO Systems with Imperfect CSI: A Bernstein Approximation Approach
Generalization of Graph Neural Networks is Robust to Model Mismatch
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI
Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis
Extending scientific computing system with structural quantum programming capabilities
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
Correlated quantization for distributed mean estimation and optimization
Incentive Schemes for Mobile Peer-to-Peer Systems and Free Riding Problem: A Survey
Robust Precoder Design for 3D Massive MIMO Downlink with A Posteriori Channel Model
Deep Clustering For General-Purpose Audio Representations
A phase field model for high-cycle fatigue: total-life analysis
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks
Multi-Antenna Gaussian Broadcast Channels with Confidential Messages
FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph
On the alternating randomized block Kaczmarz method
A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs
Building Resilient SMEs: Harnessing Large Language Models for Cyber Security in Australia
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification
Context Matters: Comparison of commercial large language tools in veterinary medicine
Indicatements that character language models learn English morpho-syntactic units and regularities
MENYO-20k: A Multi-domain English-Yorùbá Corpus for Machine Translation and Domain Adaptation
Isopignistic Canonical Decomposition via Belief Evolution Network
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems
Cooperative Pseudo Labeling for Unsupervised Federated Classification
Fostering Video Reasoning via Next-Event Prediction
Camera-Based Physiological Sensing: Challenges and Future Directions
Secure Transmission in Amplify and Forward Networks for Multiple Degraded Eavesdroppers
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation
The optimizing mode classification stabilization of sampled stochastic jump systems via an improved hill-climbing algorithm based on Q-learning
EPT-1.5 Technical Report
Logit-Gap Steering: Efficient Short-Suffix Jailbreaks for Aligned Large Language Models
Systematic Method for Path-Complete White Box Testing
Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
Parametric kernel low-rank approximations using tensor train decomposition
WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models
On the widths of regular and context free languages, with an application to information flow
Enhancing Forecasting Accuracy in Dynamic Environments via PELT-Driven Drift Detection and Model Adaptation
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection
Optimizing Multi-Timestep Security-Constrained Optimal Power Flow for Large Power Grids
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation
Computing Similarity between a Pair of Trajectories
Parallax QAMA: Novel Downlink Multiple Access for MISO Systems with Simple Receivers
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning
Theory of the Frequency Principle for General Deep Neural Networks
Hydrogen production from blended waste biomass: pyrolysis, thermodynamic-kinetic analysis and AI-based modelling
Flexible-length Text Infilling for Discrete Diffusion Models
The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation
Multiverse Privacy Theory for Contextual Risks in Complex User-AI Interactions
Towards Measuring and Quantifying the Comprehensibility of Process Models - The Process Model Comprehension Framework
Predicting Music Track Popularity by Convolutional Neural Networks on Spotify Features and Spectrogram of Audio Waveform
Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution
ChatGPT as the Marketplace of Ideas: Should Truth-Seeking Be the Goal of AI Content Governance?
Maritime Search and Rescue Missions with Aerial Images: A Survey
FCHD: A fast and accurate head detector
Model Based Residual Policy Learning with Applications to Antenna Control
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder
Channel-Adaptive Wireless Image Transmission with OFDM
Learning Code Preference via Synthetic Evolution
Adaptively Lighting up Facial Expression Crucial Regions via Local Non-Local Joint Network
Bivariate Estimation-of-Distribution Algorithms Can Find an Exponential Number of Optima
On-Device Learning: A Neural Network Based Field-Trainable Edge AI
Medical Image Analysis for Detection, Treatment and Planning of Disease using Artificial Intelligence Approaches
Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
Optimization of Iterative Blind Detection based on Expectation Maximization and Belief Propagation
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing
Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detection
A Fault Tolerance Improved Majority Voter for TMR System Architectures
A Perspective on Neural Capacity Estimation: Viability and Reliability
Difficult for Whom? A Study of Japanese Lexical Complexity
On non-monimial APcN permutations over finite fields of even characteristic
Experimenting a New Programming Practice with LLMs
EasyTime++: A case study of incremental domain-specific language development
Logistic Regression Augmented Community Detection for Network Data with Application in Identifying Autism-Related Gene Pathways
One algebra for all : Geometric Algebra methods for neurosymbolic XR scene authoring, animation and neural rendering
Language Imbalance Can Boost Cross-lingual Generalisation
One ruler to measure them all: Benchmarking multilingual long-context language models
Traffic Management for Heterogeneous Networks with Opportunistic Unlicensed Spectrum Sharing
3D WaveUNet: 3D Wavelet Integrated Encoder-Decoder Network for Neuron Segmentation
DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving
A Note on Categories about Rough Sets
On the Active Flux scheme for hyperbolic PDEs with source terms
The Group Element of Cybercrime: Types, Dynamics, and Criminal Operations
Deep Ad-hoc Beamforming
Tensor Completion via a Low-Rank Approximation Pursuit
Detecting squarefree numbers
Normalized Maximum Likelihood Coding for Exponential Family with Its Applications to Optimal Clustering
Evaluation of pilot jobs for Apache Spark applications on HPC clusters
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
Sensitivity of Perron and Fiedler eigenpairs to structural perturbations of a network
BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation
GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
Quadrature Photonic Spatial Ising Machine
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection
An asymptotic version of Cobham's theorem
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
MIRA: Medical Time Series Foundation Model for Real-World Health Data
Classification of Spontaneous and Scripted Speech for Multilingual Audio
Contrastive timbre representations for musical instrument and synthesizer retrieval
Proving differential privacy in Hoare logic
LLMs' Leaning in European Elections
On the Arikan Transformations of Binary-Input Discrete Memoryless Channels
Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact
Online Admission Control and Rebalancing in Payment Channel Networks
VoG: Summarizing and Understanding Large Graphs
Improved Prototypical Semi-Supervised Learning with Foundation Models: Prototype Selection, Parametric vMF-SNE Pretraining and Multi-view Pseudolabelling
Taming the Infinite Chase: Query Answering under Expressive Integrity Constraints
Label-Looping: Highly Efficient Decoding for Transducers
Automating Attendance Management in Human Resources: A Design Science Approach Using Computer Vision and Facial Recognition
Fast Arithmetics in Artin-Schreier Towers over Finite Fields
Swarm Robots in Agriculture
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Active Model Aggregation via Stochastic Mirror Descent
Power law in website ratings
Towards a Better Understanding of Predict and Count Models
Uniform estimates for transmission problems in electromagnetism with high contrast in magnetic permeabilities
Automatically Identifying Morphological Relations in = Machine-Readable Dictionaries
Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population
An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
Non-Termination Sets of Simple Linear Loops
Universal Streaming
Natural User Interfaces: Trend in Virtual Interaction
Optimal Stochastic Convex Optimization Through The Lens Of Active Learning
Mouse Movement and Probabilistic Graphical Models Based E-Learning Activity Recognition Improvement Possibilistic Model
Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data
The Quantum Query Complexity of AC0
Enhancing Vulnerable Road User Safety: A Survey of Existing Practices and Consideration for Using Mobile Devices for V2X Connections
diffConv: Analyzing Irregular Point Clouds with an Irregular View
Neural rendering enables dynamic tomography
On the impact of VR/AR applications on optical transport networks: First experiments with Meta Quest 3 gaming and conferencing application
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness
Online Vehicle Trajectory Prediction using Policy Anticipation Network and Optimization-based Context Reasoning
HAPS-Enabled Sustainability Provision in Cellular Networks through Cell-Switching
Investigating the effects of exploration dynamics on stiffness perception
PEL-BERT: A Joint Model for Protocol Entity Linking
Secure k-NN as a Service Over Encrypted Data in Multi-User Setting
NegMerge: Consensual Weight Negation for Strong Machine Unlearning
The notion of "Unimaginable Numbers" in computational number theory
Construction and Decoding of Error-Correcting Codes from Ideal Lattices of Finite Ternary Gamma Semirings
The Design and Implementation of a National AI Platform for Public Healthcare in Italy: Implications for Semantics and Interoperability
Learning Multi-target Tracking with Quadratic Object Interactions
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior
New Results on the Pseudoredundancy
Deep Feature Learning for EEG Recordings
A Variational Time Series Feature Extractor for Action Prediction
Applications of Littlestone dimension to query learning and to compression
Efficient Flow Matching using Latent Variables
Challenges in Architecting Fully Automated Driving; with an Emphasis on Heavy Commercial Vehicles
IntentTuner: An Interactive Framework for Integrating Human Intents in Fine-tuning Text-to-Image Generative Models
Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
Towards Automatic Hands-on-Keyboard Attack Detection Using LLMs in EDR Solutions
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Automatic Differentiation: Theory and Practice
Cognitive Modeling with Scaffolded LLMs: A Case Study of Referential Expression Generation
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
Dynamic Visual SLAM using a General 3D Prior
Decomposition horizons: from graph sparsity to model-theoretic dividing lines
On subgraph complementation to H-free graphs
The Evolution of Rough Sets 1970s-1981
A Comprehensive Dataset for Human vs. AI Generated Text Detection
Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability
Simple curl-curl-conforming finite elements in two dimensions
Longitudinal modeling of MS patient trajectories improves predictions of disability progression
SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation
BC-MPPI: A Probabilistic Constraint Layer for Safe Model-Predictive Path-Integral Control
Agnostically Learning Juntas from Random Walks
Kernel-U-Net: Hierarchical and Symmetrical Framework for Multivariate Time Series Forecasting
Measuring Sample Importance in Data Pruning for Training LLMs from a Data Compression Perspective
Quantum algorithms for abelian difference sets and applications to dihedral hidden subgroups
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring
Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning
Molecular Generative Model Based On Adversarially Regularized Autoencoder
A Threat Modeling Framework for Evaluating Computing Platforms Against Architectural Attacks
Full-stack Comparison of Channel Models for Networks Above 100 GHz in an Indoor Scenario
Stability Regularized Cross-Validation
Two player game variant of the Erdos-Szekeres problem
PRevivor: Reviving Ancient Chinese Paintings using Prior-Guided Color Transformers
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography
Probabilistic Anonymity and Admissible Schedulers
Revisiting Cross Modal Retrieval
Spontaneous Emergence of Agent Individuality through Social Interactions in LLM-Based Communities
An Innovative Human-Robot Cognitive Coupling in Industrial Robot Control and Manufacturing
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
Complexities of Well-Quasi-Ordered Substructural Logics
DOTA-ME-CS: Daily Oriented Text Audio-Mandarin English-Code Switching Dataset
Aggregated Text Transformer for Scene Text Detection
Randomized coupled decompositions
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Comparison of Loss ratios of different scheduling algorithms
Synthesizing Structured Reactive Programs via Deterministic Tree Automata
Detecting Adverse Drug Reactions from Twitter through Domain-Specific Preprocessing and BERT Ensembling
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding
Bidding, Pricing, and User Subscription Dynamics in Asymmetric-valued Korean LTE Spectrum Auction: A Hierarchical Dynamic Game Approach
Scalable nonlinear manifold reduced order model for dynamical systems
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models
Producing a Standard Dataset of Speed Climbing Training Videos Using Deep Learning Techniques
TALLFormer: Temporal Action Localization with Long-memory Transformer
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
E-React: Towards Emotionally Controlled Synthesis of Human Reactions
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training
Manifold-aligned Neighbor Embedding
Performance analysis of modified algorithm for finding multilevel association rules
Error Analysis of a Simple Quaternion Estimator: the Gaussian Case
The Role of Client Isolation in Protecting Wi-Fi Users from ARP Spoofing Attacks
Generic Diagonalizability, Structural Functional Observability and Output Controllability
Smart Contract Migration: Security Analysis and Recommendations from Ethereum to Arbitrum
An Analytics-based Decision Support System for Resource Planning under Heterogeneous Service Demand of Nursing Home Residents
Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines
Network-Level Cooperation in Energy Harvesting Wireless Networks
Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence
Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems
From 4G to 5G: Self-organized Network Management meets Machine Learning
InRanker: Distilled Rankers for Zero-shot Information Retrieval
The dynamic nature of trust: Trust in Human-Robot Interaction revisited
Automatic elimination of the pectoral muscle in mammograms based on anatomical features
Parameterized Complexity of Generalized Domination Problems on Bounded Tree-Width Graphs
Fast estimation of approximate matrix ranks using spectral densities
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of Multi-armed Bandits
Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements - the multivariate case
Constructing Receiver Signal Points using Constrained Massive MIMO Arrays
Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods
Language-Guided Invariance Probing of Vision-Language Models
A dissemination workshop for introducing young Italian students to NLP
Learning and Information in Stochastic Networks and Queues
Cascaded 3D Full-body Pose Regression from Single Depth Image at 100 FPS
XTile: An Error-Correction Package for DNA Self-Assembly
DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar
Knowledge-guided Semantic Computing Network
Suicide Classificaction for News Media Using Convolutional Neural Network
Guidance and Control Neural Network Acceleration using Memristors
Filtering with Confidence: When Data Augmentation Meets Conformal Prediction
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems
On formally undecidable propositions in nondeterministic languages
Vision based range and bearing algorithm for robot swarms
Countable Tensor Products of Hermite Spaces and Spaces of Gaussian Kernels
A $(2 + ε)$-approximation for precedence constrained single machine scheduling with release dates and total weighted completion time objective
Point-Separable Classes of Simple Computable Planar Curves
Task Elimination may Actually Increase Throughput Time
Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms
Learning Personalized Optimal Control for Repeatedly Operated Systems
Quantum Machine Learning for Secure Cooperative Multi-Layer Edge AI with Proportional Fairness
On the Sample Complexity of Rank Regression from Pairwise Comparisons
Outage Effective Capacity of Buffer-Aided Diamond Relay Systems Using HARQ with Incremental Redundancy
Exploration via Sample-Efficient Subgoal Design
Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction
Question answering: from partitions to Prolog
Data-Enabled Predictive Repetitive Control
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation
FlattenQuant: Breaking Through the Inference Compute-bound for Large Language Models with Per-tensor Quantization
Towards Query Optimization for SPARQL Property Paths
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions
Wireless End-to-End Image Transmission System using Semantic Communications
SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model
Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
RoMo-HER: Robust Model-based Hindsight Experience Replay
The Challenge of Believability in Video Games: Definitions, Agents Models and Imitation Learning
DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching
Towards Exploring the Code Reuse from Stack Overflow during Software Development
An Adaptive Design Methodology for Reduction of Product Development Risk
Temporal Autoencoding Improves Generative Models of Time Series
Rethinking Probabilistic Circuit Parameter Learning
Correlation-powered Information Engines and the Thermodynamics of Self-Correction
Two-colorings of finite grids: variations on a theorem of Tibor Gallai
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Exploiting Inexact Computations in Multilevel Sampling Methods
The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof
People on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities
Learning Contact-Rich Manipulation Skills with Guided Policy Search
Discriminative Segmentation Tracking Using Dual Memory Banks
Early learning of the optimal constant solution in neural networks and humans
Algebraic Independence in Positive Characteristic -- A p-Adic Calculus
Uncertainty Prediction for Deep Sequential Regression Using Meta Models
Direct Multi-Token Decoding
Measurable & Scalable NFRs using Fuzzy Logic and Likert Scale
Domain-Adversarial Neural Network and Explainable AI for Reducing Tissue-of-Origin Signal in Pan-cancer Mortality Classification
Emergence of Quantised Representations Isolated to Anisotropic Functions
Universal MIMO Jammer Mitigation
Understanding Counting Mechanisms in Large Language and Vision-Language Models
Political network of central power agents: case of missi dominici
Sparsity Regularization For Cold-Start Recommendation
Model order reduction for parametric high dimensional models in the analysis of financial risk
Deploying Large Language Models With Retrieval Augmented Generation