yusuke1997/dblp-id-title huggingface dataset:
Using LLMs for Explaining Sets of Counterfactual Examples to Final Users
Match and Reweight Strategy for Generalized Target Shift
Dagger Behind Smile: Fool LLMs with a Happy Ending Story
Stateless Model Checking under a Reads-Value-From Equivalence
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning
On optimal multiplexing of an ensemble of discrete-time constrained control systems on matrix Lie groups
State observation and sensor selection for nonlinear networks
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model
On the Benefits of Inoculation, an Example in Train Scheduling
Bit-Metric Decoding of Non-Binary LDPC Codes with Probabilistic Amplitude Shaping
Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire
Why informatics and general science need a conjoint basic definition of information
Recurrent Transformer Encoders for Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions
Turbo Coded Single User Massive MIMO
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative LLM Inference
Field trial on Ocean Estimation for Multi-Vessel Multi-Float-based Active perception
Evaluating the Effects of Control Surfaces Failure on the GTM
Design of a Low-Power High-Gain Bio-Medical Operational Amplifier in 65nm Technology using gm/ID Methodology
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model
On Fairness Concerns in the Blockchain Ecosystem
Shannon capacity of nonlinear regenerative channels
Brain Drain and Brain Gain in Russia: Analyzing International Migration of Researchers by Discipline using Scopus Bibliometric Data 1996-2020
Growing a Twig to Accelerate Large Vision-Language Models
First-order swap structures semantics for some Logics of Formal Inconsistency
Fast Perfect Simulation of Vervaat Perpetutities
Multi-Armed Bandits on Unit Interval Graphs
Memory Vulnerability: A Case for Delaying Error Reporting
Optimal Routing and Scheduling of Charge for Electric Vehicles: Case Study
Subquadratic Dynamic Path Reporting in Directed Graphs Against an Adaptive Adversary
Algorithms for Similarity Search and Pseudorandomness
EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images
Resilient State Recovery using Prior Measurement Support Information
Beyond Our Behavior: The GDPR and Humanistic Personalization
Pushdown Systems for Monotone Frameworks
Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation
Adversarial Distortion Learning for Medical Image Denoising
Artificial Intelligence and Human Geography
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
Intrusion Detection using Machine Learning Techniques: An Experimental Comparison
Task-oriented Communication System Design in Cyber-Physical Systems: A Survey on Theory and Applications
Privately Estimating Black-Box Statistics
A Probabilistic Algorithm for Reducing Broadcast Redundancy in Ad Hoc Wireless Networks
Learning about Data, Algorithms, and Algorithmic Justice on TikTok in Personally Meaningful Ways
Reaching Resilient Leader-Follower Consensus in Time-Varying Networks via Multi-Hop Relays
Monitoring Shortcut Learning using Mutual Information
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection
A Robust Optimization Approach to Deep Learning
Complexity and Philosophy
Multisensory Learning Framework for Robot Drumming
Is This a Good Title?
Unified Implementation of Adaptive Finite Element Methods in Matlab
SA-3DGS: A Self-Adaptive Compression Method for 3D Gaussian Splatting
RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation
On the development of an application for the compilation of global sea level changes
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation
Subsystem-Based Control with Modularity for Strict-Feedback Form Nonlinear Systems
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V
World Model-based Perception for Visual Legged Locomotion
A structure-preserving and thermodynamically compatible cell-centered Lagrangian finite volume scheme for continuum mechanics
Analysis of Quickselect under Yaroslavskiy's Dual-Pivoting Algorithm
Decompositional Quantum Graph Neural Network
Investigating self-supervised learning for lyrics recognition
The Sparse Principal Component of a Constant-rank Matrix
Evidential distance measure in complex belief function theory
Bandit Optimal Transport
Breast Ultrasound Tumor Generation via Mask Generator and Text-Guided Network:A Clinically Controllable Framework with Downstream Evaluation
A New cryptanalysis model based on random and quantum walks
Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs
Creating an AI Observer: Generative Semantic Workspaces
Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit
Entropy, Computing and Rationality
A probabilistic branching bisimulation for quantum processes
SubGrapher: Visual Fingerprinting of Chemical Structures
Grad-CAM++ is Equivalent to Grad-CAM With Positive Gradients
Automating Defeasible Reasoning in Law
A CT-Based Airway Segmentation Using U 2 -net Trained by the Dice Loss Function
AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
Backward Learning for Goal-Conditioned Policies
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond
PoS-CoPOR: Proof-of-Stake Consensus Protocol with Native Onion Routing Providing Scalability and DoS-Resistance
Smooth Mathematical Function from Compact Neural Networks
Choreographing Trash Cans: On Speculative Futures of Weak Robots in Public Spaces
Performance Analysis of Random Linear Network Coding in Two-Source Single-Relay Networks
Benchmarking Open-Source Large Language Models for Persian in Zero-Shot and Few-Shot Learning
Median Shapes
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Karl Marx and the Blockchain
Designing an Automated Vehicle: Strategies for Handling Tasks of a Previously Required Accompanying Person
Full discretization and regularization for the Calderón problem
Natural Gradient Methods: Perspectives, Efficient-Scalable Approximations, and Analysis
Contextual Bandits under Delayed Feedback
A Game-Theoretic Analysis of Competitive Editing in Wikipedia: Contributors' Effort to Influence Articles and the Community's Attempt to Ensure Neutrality
A Novel Compressive Sensing based Enhanced Multiplexing Scheme for MIMO System
Interference Suppression and Group-Based Power Adjustment via Alternating Optimization for DS-CDMA Networks with Multihop Relaying
Kinematics and Dynamics Modeling of 7 Degrees of Freedom Human Lower Limb Using Dual Quaternions Algebra
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback
Linear-Threshold Network Models for Describing and Analyzing Brain Dynamics
Single and Multi-Frequency Path Loss Models for Indoor Hotspot Scenario Based on Measurements Conducted at 6.75, 16.95, 28, 73 and 142 GHz
When does OMP achieve support recovery with continuous dictionaries?
Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
Intelligent Healthcare Ecosystems: Optimizing the Iron Triangle of Healthcare (Access, Cost, Quality)
A Database with Directivities of Musical Instruments
Incompressibility of classical distributions
Mode-Assisted Joint Training of Deep Boltzmann Machines
SafeRESTScript: Statically Checking REST API Consumers
Sim-MEES: Modular End-Effector System Grasping Dataset for Mobile Manipulators in Cluttered Environments
A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona
Phase Retrieval via Incremental Truncated Wirtinger Flow
Logic Column 16: Higher-Order Abstract Syntax: Setting the Record Straight
Preference as Reward, Maximum Preference Optimization with Importance Sampling
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
A Brief Introduction to Temporality and Causality
Impossible Triangle: What's Next for Pre-trained Language Models?
Deep Learning for the Approximation of a Shape Functional
Image-Text Multi-Modal Representation Learning by Adversarial Backpropagation
Extending Clause Learning SAT Solvers with Complete Parity Reasoning (extended version)
Energy-based Autoregressive Generation for Neural Population Dynamics
Predicting Requests in Large-Scale Online P2P Ridesharing
Interpretable Graph Anomaly Detection using Gradient Attention Maps
Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
Constructions of MDS Self-dual Codes from Short length
Periodic-MAE: Periodic Video Masked Autoencoder for rPPG Estimation
Fault-tolerant multipath routing scheme for energy efficient wireless sensor networks
Analysis of Citizens Acceptance for E-government Services: Applying the UTAUT Model
Risk Limiting Dispatch with Fast Ramping Storage
Improving Tweet Representations using Temporal and User Context
REMEDI: Relative Feature Enhanced Meta-Learning with Distillation for Imbalanced Prediction
VASS reachability in three steps
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture
RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
Post-FEC BER Prediction for Bit-Interleaved Coded Modulation with Probabilistic Shaping
Intrinsic cell factors that influence tumourigenicity in cancer stem cells - towards hallmarks of cancer stem cells
Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search
Emergence of Hierarchical Emotion Organization in Large Language Models
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction
Dendritic trafficking regulation: homeostasis and distributed adaptation
Verification of Quantum Programs
Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy
Does AlphaGo actually play Go? Concerning the State Space of Artificial Intelligence
Appropriation of social media for knowledge sharing by patients with chronic illness
A fast spectral overlapping domain decomposition method with discretization-independent conditioning bounds
A Normative approach to Attest Digital Discrimination
Analyzing Walksat on random formulas
Diagrammatic Rules for Triad Census
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
CNN Feature boosted SeqSLAM for Real-Time Loop Closure Detection
Distributed Stochastic Subgradient Optimization Algorithms Over Random and Noisy Networks
The Shapley value and the strength of weak players in Big Boss games
Platoon trajectories generation: A unidirectional interconnected LSTM-based car following model
Imitation Learning for Obstacle Avoidance Using End-to-End CNN-Based Sensor Fusion
TCLOUD: Challenges and Best Practices for Cloud Computing
Automatic Generation of Topology Diagrams for Strongly-Meshed Power Transmission Systems
Private key and password protection by steganographic image encryption
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray Images
Connecting Large Language Model Agent to High Performance Computing Resource
Multi-Agent Collaboration Framework for Recommender Systems
Edit-Your-Interest: Efficient Video Editing via Feature Most-Similar Propagation
XBF: Scaling up Bloom-filter-based Source Routing
Coordinated Receding-Horizon Control of Battery Electric Vehicle Speed and Gearshift Using Relaxed Mixed Integer Nonlinear Programming
Emotion Recognition in Audio and Video Using Deep Neural Networks
Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method
Weakly Supervised Object Detection with Segmentation Collaboration
Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design
Neural MP: A Generalist Neural Motion Planner
On problematic practice of using normalization in Self-modeling/Multivariate Curve Resolution (S/MCR)
Intertwining of Complementary Thue-Morse Factors
Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillation
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming
Dynamic Index NAT as a Mobility Solution in OMNeT++
Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions
Gender Bias in Password Managers
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation
Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations
PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
Ain't How You Deploy: An Analysis of BGP Security Policies Performance Against Various Attack Scenarios with Differing Deployment Strategies
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
Dual Based DSP Bidding Strategy and its Application
A Formally Specified Program Logic for Higher-Order Procedural Variables and non-local Jumps
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
Impact of Dietary Habits and Opinionated Lifestyle during COVID-19 Pandemic : A Case Study on Engineering Students
Klein Model for Hyperbolic Neural Networks
Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering
Adaptive Knowledge Transfer for Cross-Disciplinary Cold-Start Knowledge Tracing
UniGlyph: A Seven-Segment Script for Universal Language Representation
Multi-phase Word Sense Embedding Learning Using a Corpus and a Lexical Ontology
Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech
Information-Theoretic Bounds and Task-Centric Learning Complexity for Real-World Dynamic Nonlinear Systems
CodeClash: Benchmarking Goal-Oriented Software Engineering
Towards Understanding Analytics in Software Startups
CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion
Object-oriented semantics of English in natural language understanding system
Neural Physicist: Learning Physical Dynamics from Image Sequences
LD-SDS: Towards an Expressive Spoken Dialogue System based on Linked-Data
Enhanced BICM Receiver Metrics for Ultra-Reliable Low-Latency Short Block Channel Communications
Deterministic Genericity for Polynomial Ideals
Core organization of directed complex networks
Denoising Low-dose Images Using Deep Learning of Time Series Images
Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback
Fast Maximum-Likelihood Decoder for 4*4 Quasi-Orthogonal Space-Time Block Code
A Non-Anatomical Graph Structure for isolated hand gesture separation in continuous gesture sequences
Relation Detection for Indonesian Language using Deep Neural Network - Support Vector Machine
Quantum-Classical Hybrid Quantized Neural Network
Engineering Long Range Distance Independent Entanglement through Kondo Impurities in Spin Chains
4KDehazeFlow: Ultra-High-Definition Image Dehazing via Flow Matching
Particle Mean Field Variational Bayes
LG-Traj: LLM Guided Pedestrian Trajectory Prediction
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Helicality: An Isomap-based Measure of Octave Equivalence in Audio Data
On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality
Anatomical Mesh-Based Virtual Fixtures for Surgical Robots
Full-ECE: A Metric For Token-level Calibration on Large Language Models
Note on generalized group testing
On the probabilistic approach to the random satisfiability problem
A Layered Intuition - Method Model with Scope Extension for LLM Reasoning
IMPACT: Investigation of Mobile-user Patterns Across University Campuses using WLAN Trace Analysis
Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices
Plug-and-Play Multi-Concept Adaptive Blending for High-Fidelity Text-to-Image Synthesis
IRSA-based Unsourced Random Access over the Gaussian Channel
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
HaRiM + : Evaluating Summary Quality with Hallucination Risk
Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency
Modulating function based algebraic observer coupled with stable output predictor for LTV and sampled-data systems
Network Summarization with Preserved Spectral Properties
Controlled Generation for Private Synthetic Text
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
Duplex: Dual Prototype Learning for Compositional Zero-Shot Learning
Connectionism, Complexity, and Living Systems: a comparison of Artificial and Biological Neural Networks
Locally-Adaptive Quantization for Streaming Vector Search
Can LLM Annotations Replace User Clicks for Learning to Rank?
Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention
Measuring the evolution of contemporary western popular music
FORLA:Federated Object-centric Representation Learning with Slot Attention
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data
Succinct Determinisation of Counting Automata via Sphere Construction (Technical Report)
Robust Exponential Stability and Invariance Guarantees with General Dynamic O'Shea-Zames-Falb Multipliers
Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences
Symmetries of weighted networks: weight approximation method and its application to food webs
Atomic Smart Contract Interoperability with High Efficiency via Cross-Chain Integrated Execution
Homogenization of discrete diffusion models by asymptotic expansion
When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning
Aspect-oriented linearizability proofs
Hidden in Plain Sound: Environmental Backdoor Poisoning Attacks on Whisper, and Mitigations
Training a Fully Convolutional Neural Network to Route Integrated Circuits
Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey
Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach
AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots
AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?
Désentrelacement Fréquentiel Doux pour les Codecs Audio Neuronaux
Traveling Waves Encode the Recent Past and Enhance Sequence Learning
Approximate better, Attack stronger: Adversarial Example Generation via Asymptotically Gaussian Mixture Distribution
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy
An F5 Algorithm for Tropical Gröbner Bases in the Weyl Algebras
(Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment
Probabilistic thermal stability prediction through sparsity promoting transformer representation
MoA-Off: Adaptive Heterogeneous Modality-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
HydroelasticTouch: Simulation of Tactile Sensors with Hydroelastic Contact Surfaces
Enhancing PLS of Indoor IRS-VLC Systems for Colluding and Non-Colluding Eavesdroppers
Identifiability and minimality bounds of quantum and post-quantum models of classical stochastic processes
User Experience Estimation in Human-Robot Interaction Via Multi-Instance Learning of Multimodal Social Signals
On the notion of number in humans and machines
Target-independent XLA optimization using Reinforcement Learning
Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History
Cooperative epidemic spreading on a two-layered interconnected network
Open-World Learning Without Labels
Soft GPGPUs for Embedded FPGAs: An Architectural Evaluation
Correlated Interference from Uncorrelated Users in Bounded Ad Hoc Networks with Blockage
Code-free development and deployment of deep segmentation models for digital pathology
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
Structural results for the Tree Builder Random Walk
Parallel Higher-order Boundary Integral Electrostatics Computation on Molecular Surfaces with Curved Triangulation
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery
Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms
How Far Are We from Genuinely Useful Deep Research Agents?
Fast Encoding and Decoding of Flexible-Rate and Flexible-Length Polar Codes
Optimal Constellations for the Low SNR Noncoherent MIMO Rayleigh Fading Channel
SubTrack your Grad: Gradient Subspace Tracking for Memory and Time Efficient Full-Parameter LLM Training
A fast-convolution based space-time Chebyshev spectral method for peridynamic models
Infant brain MRI segmentation with dilated convolution pyramid downsampling and self-attention
Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement
A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance
Fast Free-text Authentication via Instance-based Keystroke Dynamics
An Irredundant Decomposition of Data Flow with Affine Dependences
Variance based Scheduling to Improve the QoS Performance at the Cell Edge
A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras
Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not
Sparse Optimistic Information Directed Sampling
A Critical Evaluation of Failure in a Nearshore Outsourcing Project: What dilemma analysis can tell us
CUIfy the XR: An Open-Source Package to Embed LLM-powered Conversational Agents in XR
A Neural Beam Filter for Real-time Multi-channel Speech Enhancement
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
A methodology for internal Web ethics
On the Period of a Periodic-Finite-Type Shift
Appearance Consensus Driven Self-Supervised Human Mesh Recovery
A Chaotic Dynamical System that Paints
A Visual Modeling Method for Spatiotemporal and Multidimensional Features in Epidemiological Analysis: Applied COVID-19 Aggregated Datasets
Applying the Residue Number System to Network Inference
Uncertainty quantification for mineral precipitation and dissolution in fractured porous media
Defending Multimodal Fusion Models against Single-Source Adversaries
Image-based Textile Decoding
Understanding Filter Bubbles and Polarization in Social Networks
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom Translation
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations