yusuke1997/dblp-id-title huggingface dataset:
Influence of concentration-dependent material properties on the fracture and debonding of electrode particles with core-shell structure
Hybrid Supervised Reinforced Model for Dialogue Systems
Reinforcement learning for Quantum Tiq-Taq-Toe
Cheap Talking Algorithms
Physics-informed machine learning: A mathematical framework with applications to time series forecasting
G3Reg: Pyramid Graph-based Global Registration using Gaussian Ellipsoid Model
Optimal Detection in Training Assisted SIMO Systems with Phase Noise Impairments
Finding a HIST: Chordality, Structural Parameters, and Diameter
On Methods for the Formal Specification of Fault Tolerant Systems
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
DE/RM-MEDA: A New Hybrid Multi-Objective Generator
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup
The Illusion of Anonymity: Uncovering the Impact of User Actions on Privacy in Web3 Social Ecosystems
Analysis of Multistage Feedforward Operational Transconductance Amplifiers using Single-Pole Approximation
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
Performance Analysis of Internet of Vehicles Mesh Networks Based on Actual Switch Models
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition
Feature Map Testing for Deep Neural Networks
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
Emergence of Leadership in Communication
Root Repulsion and Faster Solving for Very Sparse Polynomials Over p-adic Fields
End-to-end training of Multimodal Model and ranking Model
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods
FuseCodec: Semantic-Contextual Fusion and Supervision for Neural Codecs
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Remote State Estimation with Privacy Against Eavesdroppers
Identifying Data And Information Streams In Cyberspace: A Multi-Dimensional Perspective
Behavioral Compatibility of Simulink Models for Product Line Maintenance and Evolution
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
Trends on Computer Security: Cryptography, User Authentication, Denial of Service and Intrusion Detection
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning
LR-WaveHoltz: A Low-Rank Helmholtz Solver
MIMO Capacity with Average Total and Per-Antenna Power Constraints
DOA Parameter Estimation with 1-bit Quantization - Bounds, Methods and the Exponential Replacement
Metastability of Potential Games
Generating News Headlines with Recurrent Neural Networks
A simple and efficient dichotomic search algorithm for multi-objective mixed integer linear programs
DoctorAgent-RL: A Multi-Agent Collaborative Reinforcement Learning System for Multi-Turn Clinical Dialogue
Pancreas Part Segmentation under Federated Learning Paradigm
Application of Homomorphic Encryption in Medical Imaging
XFEVER: Exploring Fact Verification across Languages
Restless dependent bandits with fading memory
HistComp : bibliographic analysis and visualization of 'The Biological Bulletin'
Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso
Space Efficient Secret Sharing
The Impact of Local Information on the Performance of Multiagent Systems
Label Budget Allocation in Multi-Task Learning
Versatile Filamentary Resistive Switching Model
Discrete anisotropic curve shortening flow in higher codimension
Fixed-sized representation learning from Offline Handwritten Signatures of different sizes
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization
A relaxed version of Šoltés's problem and cactus graphs
FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction
Deflating Deflationism: A Critical Perspective on Debunking Arguments Against LLM Mentality
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns
FATNN: Fast and Accurate Ternary Neural Networks
IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations
Distributed Estimation for Adaptive Networks Based on Serial-Inspired Diffusion
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique
Harnessing the Power of Artificial Intelligence to Vitalize Endangered Indigenous Languages: Technologies and Experiences
STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading
The virtual reality framework for engineering objects
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots
Complex Network Analysis of Men Single ATP Tennis Matches
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient
HEMA: A Hands-on Exploration Platform for MEMS Sensor Attacks
The Capacity of Private Information Retrieval with Private Side Information
GUI-360 \° : A Comprehensive Dataset and Benchmark for Computer-Using Agents
JSClassFinder: A Tool to Detect Class-like Structures in JavaScript
Learning to Follow Language Instructions with Compositional Policies
Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations
Evolving Domain Adaptation of Pretrained Language Models for Text Classification
Commuting Conditional GANs for Robust Multi-Modal Fusion
State Space Analysis of Memristor Based Series and Parallel RLCM Circuits
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer
A constructive proof of the Lovasz Local Lemma
myAURA: Personalized health library for epilepsy management via knowledge graph sparsification and visualization
Content Based Image Retrieval Using Exact Legendre Moments and Support Vector Machine
A Novel Approach for Secure Data Aggregation in Wireless Sensor Networks
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation
Nationally Scalable Hydrogen Fueling Infrastructure Deployment: A Megaregion Analysis and Optimization Approach
Well-Connected Communities in Real-World Networks
Investigating Emotion-Color Association in Deep Neural Networks
Addressing Model Inaccuracies in Transmission Network Reconfiguration via Diverse Alternatives
Foundations for Risk Assessment of AI in Protecting Fundamental Rights
Graph and distributed extensions of the Douglas-Rachford method
RAVE Checklist: Recommendations for Overcoming Challenges in Retrospective Safety Studies of Automated Driving Systems
Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
Balanced-chromatic number and Hadwiger-like conjectures
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing
Asynchronous multi-class traffic management in wide area networks
Multiphase Aluminum A356 Foam Formation Process Simulation Using Lattice Boltzmann Method
Beware of the Ostrich Policy: End-Users' Perceptions Towards Data Transparency and Control
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation
DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition
Interacting Random Trajectories: a Discussion
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
Transformations for accelerator-based quantum circuit simulation in Haskell
Compositional Model based Fisher Vector Coding for Image Classification
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks
LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
Diffusion Nets
Prescribed-Time Fully Distributed Nash Equilibrium Seeking in Noncooperative Games
University-industry research collaboration: a model to assess university capability
Hyperbolic Fine-tuning for Large Language Models
Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
Monomial-agnostic computation of vanishing ideals
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
Towards more Contextual Agents: An extractor-Generator Optimization Framework
How Close are Other Computer Vision Tasks to Deepfake Detection?
Optimization of Energy Consumption Forecasting in Puno using Parallel Computing and ARIMA Models: An Innovative Approach to Big Data Processing
Continuous Artificial Prediction Markets as a Syndromic Surveillance Technique
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
A Novel Intrinsic Measure of Data Separability
Real-Reward Testing for Probabilistic Processes (Extended Abstract)
Anticipatory Ethics and the Role of Uncertainty
In-place associative permutation sort
Social Learning with Network Externalities
Is it Time to Replace CNNs with Transformers for Medical Images?
Node-based Generalized Friendship Paradox fails
Imagining and building wise machines: The centrality of AI metacognition
Minimal Learning Machine for Multi-Label Learning
BELL: Benchmarking the Explainability of Large Language Models
Fine-grained ECG Classification Based on Deep CNN and Online Decision Fusion
Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge
Solving Poisson's Equation using Deep Learning in Particle Simulation of PN Junction
Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge
Contextual Markov Decision Processes
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach
FUSION: Forecast-Embedded Agent Scheduling with Service Incentive Optimization over Distributed Air-Ground Edge Networks
SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling
Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion
Convex Relaxation Based Locational Marginal Prices
An Exploratory Study of Debugging Episodes
Policy Gradients Beyond Expectations: Conditional Value-at-Risk
Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering
Transport Quasi-Monte Carlo
Comprehensive Study on Railway Communications Systems to Support Hyperloop
Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment
Watchlist Challenge: 3rd Open-set Face Detection and Identification
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Detect Adverse Drug Reactions for Drug Aspirin
A Subexponential Reduction from Product Partition to Subset Sum
Proof of Concept of Wireless TERS Monitoring
Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
Meta Reasoning for Large Language Models
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions
Retrieval Augmented Generation (RAG) for Fintech: Agentic Design and Evaluation
Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors
An Empirical Evaluation of AI-Powered Non-Player Characters' Perceived Realism and Performance in Virtual Reality Environments
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Binary Feature Mask Optimization for Feature Selection
Guided Facial Skin Color Correction
Decomposition of Industrial Systems for Energy Efficiency Optimization with OptTopo
Two-weight codes over the integers modulo a prime power
PRISM: Perspective Reasoning for Integrated Synthesis and Mediation as a Multi-Perspective Framework for AI Alignment
A splitting scheme for the coupled Saint-Venant-Exner model
Interactions of Computational Complexity Theory and Mathematics
A visão da BBChain sobre o contexto tecnológico subjacente à adoção do Real Digital
Causality and Decision-making: A Logical Framework for Systems and Security Modelling
A note on transformed Fourier systems for the approximation of non-periodic signals
Danoliteracy of Generative, Large Language Models
A blockchain-based Forensic Model for Financial Crime Investigation: The Embezzlement Scenario
Cascade Subspace Clustering for Outlier Detection
Change Patterns for Model Creation: Investigating the Role of Nesting Depth
A probability-conserving cross-section biasing mechanism for variance reduction in Monte Carlo particle transport calculations
An Approach to Symbolic Regression Using Feyn
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning
Detecting Patch Adversarial Attacks with Image Residuals
Data-driven distributed MPC of dynamically coupled linear systems
Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices
Convergence of the randomized Kaczmarz method for phase retrieval
A rigged model of the breast for preoperative surgical planning
Quaternion Gradient and Hessian
A Solution Strategy to the Unit Commitment Problem Incorporating Manifold Uncertainties
DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection
Universal approximation of symmetric and anti-symmetric functions
The Effect of Network and Infrastructural Variables on SPDY's Performance
A Novel Approach for Intrinsic Dimension Estimation
Prognostic and Health Management (PHM) tool for Robot Operating System (ROS)
Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings
A Survey of Coded Distributed Computing
Supplementary Results of a Comparative Syntactic and Semantic Study of Terms for Software Testing Glossaries
Hyperspectral Unmixing via Turbo Bilinear Approximate Message Passing
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification
On Optimality of Adaptive Linear-Quadratic Regulators
Proactive Query Expansion for Streaming Data Using External Source
A Quick Repair Facility for Debugging
Embodied Self-supervised Learning by Coordinated Sampling and Training
Uncovering Factor Level Preferences to Improve Human-Model Alignment
Oogway: Designing, Implementing, and Testing an AUV for RoboSub 2023
Cycles Communities from the Perspective of Dendrograms and Gradient Sampling
The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)
Discovery through Gossip
The economic trade-offs of large language models: A case study
LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration
Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models
Implementation of a Service-Oriented Architecture for a e-WALLET System for Cashless Transactions in the Democratic Republic of Congo
Vibration of Soft, Twisted Beams for Under-Actuated Quadrupedal Locomotion
MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention
Conquery: an open source application to analyze high content healthcare data
cuTeSpMM: Accelerating Sparse-Dense Matrix Multiplication using GPU Tensor Cores
Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
Algorithmic Fairness and Color-blind Racism: Navigating the Intersection
A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insights
Optimal Asynchronous Rendezvous for Mobile Robots with Lights
Learning noisy tissue dynamics across time scales
NeuCLIRBench: A Modern Evaluation Collection for Monolingual, Cross-Language, and Multilingual Information Retrieval
PriveShield: Enhancing User Privacy Using Automatic Isolated Profiles in Browsers
The Naming Game in Social Networks: Community Formation and Consensus Engineering
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
Characterization of the Arithmetic Complexity of the Secrecy Capacity of Fast-Fading Gaussian Channels
PredDiff: Explanations and Interactions from Conditional Expectations
Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
Just say what you want: only-prompting self-rewarding online preference optimization
Subspace Codes based on Graph Matchings, Ferrers Diagrams and Pending Blocks
Aria: An Open Multimodal Native Mixture-of-Experts Model
SUrgical PRediction GAN for Events Anticipation
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption
RobotSeg: A Model and Dataset for Segmenting Robots in Image and Video
A convex lifting approach for the Calderón problem
Using machine learning to construct velocity fields from OH-PLIF images
Reconstruction on Trees: Exponential Moment Bounds for Linear Estimators
A-3PO: Accelerating Asynchronous LLM Training with Staleness-aware Proximal Policy Approximation
Improving Deep Learning Model Robustness Against Adversarial Attack by Increasing the Network Capacity
On the extremal values of the cyclic continuants of Motzkin and Straus
Refinement for community structures of bipartite networks
A Tight Runtime Analysis of the $(1+(λ, λ))$ Genetic Algorithm on OneMax
Fairness in ad auctions through inverse proportionality
Mixbiotic society measures: Assessment of community well-going as living system
Capacity: Cryptographically-Enforced In-Process Capabilities for Modern ARM Architectures (Extended Version)
Distributed Sketching Methods for Privacy Preserving Regression
A Knowledge-poor Pronoun Resolution System for Turkish
Parallel Chip Firing Game associated with n-cube orientations
Towards the Neuromorphic Computing for Offroad Robot Environment Perception and Navigation
Pandemic Control, Game Theory and Machine Learning
Unmasking unlearnable models: a classification challenge for biomedical images without visible cues
Which topics are best represented by science maps? An analysis of clustering effectiveness for citation and text similarity networks
Attention Boosted Autoencoder for Building Energy Anomaly Detection
Robust beamforming and jamming for enhancing the physical layer security of full duplex radios
Online Experimental Design for Network Tomography
Automated Discovery and Classification of Training Videos for Career Progression
Plug-In Diffusion Model for Embedding Denoising in Recommendation System
Image Interpolation Using Kriging Technique for Spatial Data
Graph-based Modeling of Online Communities for Fake News Detection
Design of Reconfigurable Intelligent Surfaces for Wireless Communication: A Review
Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
Multi-view redescription mining using tree-based multi-target prediction models
Vision Transformer based Random Walk for Group Re-Identification
A Critical Assessment of Cost-Based Nash Methods for Demand Scheduling in Smart Grids
Increasing the relative smoothness of stochastically sampled data
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation
ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access
TPCNet: Triple physical constraints for Low-light Image Enhancement
"COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation
Universal optimal configurations for the $p$-frame potentials
Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
Inherent limitations of LLMs regarding spatial information
Enhancing Semi-supervised Learning with Noisy Zero-shot Pseudolabels
ITVTON:Virtual Try-On Diffusion Transformer Model Based on Integrated Image and Text
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
Implementation of a Didactic Compiler for a superset of PL/0
A CDMA multiuser detection algorithm based on survey propagation
Advances in Scaling Community Discovery Methods for Large Signed Graph Networks
Words That Stick: Predicting Decision Making and Synonym Engagement Using Cognitive Biases and Computational Linguistics
Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data
Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond
Comparing two- and three-view Computer Vision
Countermeasures Against L0 Adversarial Examples Using Image Processing and Siamese Networks
The Problem of Analogical Inference in Inductive Logic
DisCoCLIP: A Distributional Compositional Tensor Network Encoder for Vision-Language Understanding
The clustered Sparrow algorithm
Monitoring the energy consumed by a network infrastructure to detect and isolate faults in communication architecture
Light Logics and Higher-Order Processes
An Iterative Decoupled Algorithm with Unconditional Stability for Biot Model
Decidability in Robot Manipulation Planning
On the Intersection of Self-Correction and Trust in Language Models
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
Lightweight RGB-T Tracking with Mobile Vision Transformers
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification
On Reciprocity in Massively Multi-player Online Game Networks
On the two-step estimation of the cross-power spectrum for dynamical inverse problems
NP-completeness of anti-Kekulé and matching preclusion problems
Learning Deep Neural Networks by Iterative Linearisation
How Far Are AI Scientists from Changing the World?
Understanding Mechanistic Role of Structural and Functional Connectivity in Tau Propagation Through Multi-Layer Modeling
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
TOSS: Real-time Tracking and Moving Object Segmentation for Static Scene Mapping
DEXTER: An end-to-end system to extract table contents from electronic medical health documents
Byzantine-Resilient Gradient Coding through Local Gradient Computations
The Minimal Compression Rate for Similarity Identification
Packet-oblivious stable routing in multi-hop wireless networks
Analysis of Digital Sovereignty and Identity: From Digitization to Digitalization
GANiry: Bald-to-Hairy Translation Using CycleGAN
Problems of search and pursuit of unmanned aerial vehicles using the game-theoretic approach
Jackpot! Alignment as a Maximal Lottery
Chronocept: Instilling a Sense of Time in Machines
Distributed Resources for the Earth System Grid Advanced Management (DREAM)
Energy-Efficient Communication over Gaussian Interference Networks with Processing Energy Cost
Automata Describing Object Behavior
RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems
Neural Fluidic System Design and Control with Differentiable Simulation
Malign Overfitting: Interpolation Can Provably Preclude Invariance
IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement
Unsupervised Learning for Pilot-free Transmission in 3GPP MIMO Systems
Modularity and Architecture of PLC-based Software for Automated Production Systems: An analysis in industrial companies
Towards Effective Depthwise Convolutions on ARMv8 Architecture
Controllability and Tracking of Ensembles: An Optimal Transport Theory Viewpoint
Automatic Belief Revision in SNePS
Rank Generalized Subsapce subcode
Polynomial Identity Testing and the Ideal Proof System: PIT is in NP if and only if IPS can be p-simulated by a Cook-Reckhow proof system