yusuke1997/dblp-id-title huggingface dataset:
Two-Port Feedback Analysis On Miller-Compensated Amplifiers
Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
Conditioning on Time is All You Need for Synthetic Survival Data Generation
A Novel Double Pruning method for Imbalanced Data using Information Entropy and Roulette Wheel Selection for Breast Cancer Diagnosis
Serving Deep Learning Model in Relational Databases
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample - Application in Gomoku Reinforcement Learning
Pirogov-Sinai Theory Beyond Lattices
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction
Region-Adaptive Video Sharpening via Rate-Perception Optimization
Parallelized Reverse Curriculum Generation
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Strong Regularities in Growth and Decline of Popularity of Social Media Services
Network-Realized Model Predictive Control Part II: Distributed Constraint Management
A Total Error Framework for Digital Traces of Humans
DG-IMEX Method for a Two-Moment Model for Radiation Transport in the O(v/c) Limit
Stable reconstructions for the analysis formulation of ℓ p -minimization using redundant systems
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
Dynamic DNNs Meet Runtime Resource Management on Mobile and Embedded Platforms
A Solution for Controlling and Managing User Profiles based on Data Privacy for IoT Applications
ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
Reconfigurable nanoscale spin wave majority gate with frequency-division multiplexing
First-Order Sparse Convex Optimization: Better Rates with Sparse Updates
Newton-based Policy Optimization for Games
Fuzzy Logic Classification of Imaging Laser Desorption Fourier Transform Mass Spectrometry Data
Active Source Free Domain Adaptation
IoT-Based Water Quality Monitoring System in Philippine Off-Grid Communities
An Exact Cutting Plane Algorithm to Solve the Selective Graph Coloring Problem in Perfect Graphs
A Shallow High-Order Parametric Approach to Data Visualization and Compression
Big Data: Challenges, Opportunities and Realities
Utilizing Synchronous Flooding for Reliable and Scalable SDN in Low-Power Wireless Networks
UXsim: An open source macroscopic and mesoscopic traffic simulator in Python - a technical overview
Robust mass lumping and outlier removal strategies in isogeometric analysis
Microservice-based edge platform for AI services
Tree Transducers, Machine Translation, and Cross-Language Divergences
Multi-view Characterization of Stories from Narratives and Reviews using Multi-label Ranking
Approximation for Probability Distributions by Wasserstein GAN
PointNet4D: A Lightweight 4D Point Cloud Video Backbone for Online and Offline Perception in Robotic Applications
MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving
In-Context Symbolic Regression: Leveraging Language Models for Function Discovery
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
Probabilistic Modelling of the Impact on Bus Punctuality of a Speed Limit Proposal in Edinburgh (Extended Version)
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
Lie symmetry analysis of (2+1)-dimensional time fractional Kadomtsev-Petviashvili equation
Refracting Reality: Generating Images with Realistic Transparent Objects
DT-LSD: Deformable Transformer-based Line Segment Detection
Asynchronous Deterministic Leader Election in Three-Dimensional Programmable Matter
Decentralization Paradox: A Study of Hegemonic and Risky ERC-20 Tokens
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation
Adversarially trained LSTMs on reduced order models of urban air pollution simulations
BRIDGE: Budget-aware Reasoning via Intermediate Distillation with Guided Examples
Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments
UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment
Multistep feature aggregation framework for salient object detection
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening
Curvature-Constrained Vector Field for Motion Planning of Nonholonomic Robots
Policy Newton Algorithm in Reproducing Kernel Hilbert Space
Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model
Challenges of Next-Generation Wireless Sensor Networks and its impact on Society
Simplifying heterogeneous migration between x86 and ARM machines
Function Alignment: A New Theory of Mind and Intelligence, Part I: Foundations
Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data
Gymnasium: A Standard Interface for Reinforcement Learning Environments
A Roles-based Competency Framework for Integrating Artificial Intelligence (AI) in Engineering Courses
Bypassing Prompt Guards in Production with Controlled-Release Prompting
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
A quest to unravel the metric structure behind perturbed networks
Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
Unified estimation framework for unnormalized models with statistical efficiency
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery
A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy
Defending against Adversarial Images using Basis Functions Transformations
MMRQA: Signal-Enhanced Multimodal Large Language Models for MRI Quality Assessment
Grad-CAM: Why did you say that?
Ontology-guided Semantic Composition for Zero-Shot Learning
Few-Shot Demonstration-Driven Task Coordination and Trajectory Execution for Multi-Robot Systems
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study
Realizability Interpretation and Normalization of Typed Call-by-Need λ-calculus With Control
Can Electromagnetic Information Theory Improve Wireless Systems? A Channel Estimation Example
Simulated LiDAR Repositioning: a novel point cloud data augmentation method
Simple client-side encryption of personal information with Web Assembly
Towards a Robust Quality Assurance Framework for Cloud Computing Environments
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media
Knowing What's Missing: Assessing Information Sufficiency in Question Answering
Improving the Plausibility of Pressure Distributions Synthesized from Depth through Generative Modeling
Tensor-based framework for training flexible neural networks
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection
Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes
Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering
A meta-analysis on the performance of machine-learning based language models for sentiment analysis
On Affinity Measures for Artificial Immune System Movie Recommenders
Investigation Into the Viability of Neural Networks as a Means for Anomaly Detection in Experiments Like Atlas at the LHC
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
Comparison of D-Wave Quantum Annealing and Markov Chain Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine
Theoretical Foundations for Semantic Cognition in Artificial Intelligence
Accurate Autism Spectrum Disorder prediction using Support Vector Classifier based on Federated Learning (SVCFL)
Ontology, Ontologies, and Science
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites
Identifying Likely-Reputable Blockchain Projects on Ethereum
Developing Educational Computer Animation Based on Human Personality Types
Helping Software Developers through Offline Repository Based API Searching in Data MiningIntegrated Environment
Metamathematics of Algorithmic Composition
Can Large Language Models Detect Real-World Android Software Compliance Violations?
Representation and duality of the
New Evidence of the Two-Phase Learning Dynamics of Neural Networks
IQNet: Image Quality Assessment Guided Just Noticeable Difference Prefiltering For Versatile Video Coding
Backscatter Communications for Internet-of-Things: Theory and Applications
Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving
Identity Document and banknote security forensics: a survey
Dual JPEG Compatibility: a Reliable and Explainable Tool for Image Forensics
Sensitivity analysis of fractional linear systems based on random walks with negligible memory usage
Covariance Dynamics and Entanglement in Translation Invariant Linear Quantum Stochastic Networks
Replay-free Online Continual Learning with Self-Supervised MultiPatches
Robust Group LASSO Over Decentralized Networks
Mathematical modeling of thermal stabilization of vertical wells on high performance computing systems
Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks
Late-time transition of M B inferred via neural networks
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog
COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models
A horizon line annotation tool for streamlining autonomous sea navigation experiments
A new edge selection heuristic for computing the Tutte polynomial of an undirected graph
FoldToken2: Learning compact, invariant and generative protein structure language
Generative machine learning methods for multivariate ensemble post-processing
Exploring the high dimensional geometry of HSI features
A Robust Model for Trust Evaluation during Interactions between Agents in a Sociable Environment
Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers
Identifying the Risks of Chronic Diseases Using BMI Trajectories
Collocational Grammar
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation
Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container
Graph-Driven Multimodal Feature Learning Framework for Apparent Personality Assessment
The Development of a Comprehensive Spanish Dictionary for Phonetic and Lexical Tagging in Socio-phonetic Research (ESPADA)
Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects
Use of Agile Practices in Start-ups
Reconstruction of Worm Propagation Path Using a Trace-back Approach
Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models
SemHe: A Generalised Two-Level System
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
SensAI+Expanse Emotional Valence Prediction Studies with Cognition and Memory Integration
Test & Evaluation Best Practices for Machine Learning-Enabled Systems
Monte Carlo Q-learning for General Game Playing
Synthesising Choreographies from Local Session Types (extended version)
On Sets of Lines Not-Supporting Trees
LaMM: Semi-Supervised Pre-Training of Large-Scale Materials Models
Enabling Physical AI through Biological Principles
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data
Message spreading in networks with stickiness and persistence: Large clustering does not always facilitate large-scale diffusion
Data Stream Clustering: A Review
TeluguST-46: A Benchmark Corpus and Comprehensive Evaluation for Telugu-English Speech Translation
Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects
Reducing catastrophic forgetting when evolving neural networks
Lateral Ventricle Shape Modeling using Peripheral Area Projection for Longitudinal Analysis
Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm
Blind Image Deblurring using FFT-ReLU with Deep Learning Pipeline Integration
Ultrafast photo-magnetic recording in transparent medium
Side Effects of Erasing Concepts from Diffusion Models
POINTS - Playful objects for inclusive, personalized movement games
A New Underdetermined Framework for Sparse Estimation of Fault Location for Transmission Lines Using Limited Current Measurements
PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
Novel Rewiring Mechanism for Restoration of the Fragmented Social Networks after Attacks
NAUTILUS: boosting Bayesian importance nested sampling with deep learning
On the Generalization of Agricultural Drought Classification from Climate Data
Computing the action ground state for the rotating nonlinear Schrödinger equation
A statistical theory of out-of-distribution detection
Least Squares Policy Iteration with Instrumental Variables vs. Direct Policy Search: Comparison Against Optimal Benchmarks Using Energy Storage
Bundled fragments of first-order modal logic: (un)decidability
SELF: A Robust Singular Value and Eigenvalue Approach for LLM Fingerprinting
MC-NEST - Enhancing Mathematical Reasoning in Large Language Models with a Monte Carlo Nash Equilibrium Self-Refine Tree
Minkowski sum of polytopes defined by their vertices
Sharing Hash Codes for Multiple Purposes
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems
Spectral Machine Learning for Pancreatic Mass Imaging Classification
An autonomous swarm of micro flying robots with range-based relative localization
Learned In Speech Recognition: Contextual Acoustic Word Embeddings
vSkyConf: Cloud-assisted Multi-party Mobile Video Conferencing
Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition
Notes on the Sum-Rank Weight of a Matrix with Restricted Rank
Improving Cybercrime Detection and Digital Forensics Investigations with Artificial Intelligence
Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Non-Parametric Detection of Network Communities; The Natural Way; A Cascaded Stackelberg Game
Likelihood Ratio Exponential Families
Spectral Ranking
Understanding Code Patterns - Analysis, Interpretation & Measurement
Polyra Swarms: A Shape-Based Approach to Machine Learning
High-Accuracy Multi-Node Ranging For Coherent Distributed Antenna Arrays
Reachable Sets of Classifiers & Regression Models: (Non-)Robustness Analysis and Robust Training
Beyond the Worst Case: Extending Differential Privacy Guarantees to Realistic Adversaries
Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI
Probabilistic Analysis of Least Squares, Orthogonal Projection, and QR Factorization Algorithms Subject to Gaussian Noise
Cooperative Sequential Spectrum Sensing Based on Level-triggered Sampling
Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference
Studying Strategically: Learning to Mask for Closed-book QA
Solar multi-object multi-frame blind deconvolution with a spatially variant convolution neural emulator
In-Vehicle PLC: In-Car and In-Ship Channel Characterization
Human-like machine thinking: Language guided imagination
Call-By-Name Is Just Call-By-Value with Delimited Control
Reversible Truly Concurrent Process Algebra
Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need
MAVIS: Multi-Objective Alignment via Value-Guided Inference-Time Search
Fast Learning of Non-Cooperative Spacecraft 3D Models through Primitive Initialization
Reply to arXiv: 2102.11963, An experimental demonstration of the memristor test, Y. V. Pershin, J. Kim, T. Datta, M. Di Ventra, 23 Feb 2021. Does an ideal memristor truly exist?
Proof Simplification and Automated Theorem Proving
An Effectful Treatment of Dependent Types
On discrete-time polynomial dynamical systems on hypergraphs
Decentralised and collaborative machine learning framework for IoT
A Mutation-based Text Generation for Adversarial Machine Learning Applications
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
Spherical polar coordinate transformation for integration of singular functions on tetrahedra
Recursive Secret Sharing for Distributed Storage and Information Hiding
Composite Classifier-Free Guidance for Multi-Modal Conditioning in Wind Dynamics Super-Resolution
VMV: Augmenting an Internet Voting System with Selene Verifiability
Hyperbolic embedding of multilayer networks
Achieving Optimal Tissue Repair Through MARL with Reward Shaping and Curriculum Learning
On the sensitivity of linear resource sharing problems to the arrival of new agents
Learning stabilising policies for constrained nonlinear systems
Mistake Analyses on Proof about Perfect Secrecy of One-time-pad
Sequence adaptive field-imperfection estimation (SAFE): retrospective estimation and correction of B 1 + and B 0 inhomogeneities for enhanced MRF quantification
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments
Programmable Packet Scheduling
MAGIC: Achieving Superior Model Merging via Magnitude Calibration
A novel algorithm for online inexact string matching and its FPGA implementation
From job titles to jawlines: Using context voids to study generative AI systems
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection
Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning
Near-Field Beam Training of Intelligent Reflecting Surface: A Novel Two-Layer Codebook
A Very Low Complexity Successive Symbol-by-Symbol Sequence Estimator for Faster-than-Nyquist Signaling
REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding
Identifying the perceived local properties of networks reconstructed from biased random walks
Large Language Models on Lexical Semantic Change Detection: An Evaluation
Faster parameterized algorithm for Bicluter Editing
Online Networks of Support in Distressed Environments: Solidarity and Mobilization during the Russian Invasion of Ukraine
High-Frequency Enhanced Hybrid Neural Representation for Video Compression
Phase transitions of extremal cuts for the configuration model
AssertMiner: Module-Level Spec Generation and Assertion Mining using Static Analysis Guided LLMs
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming
Integrating Planning and Interpretable Goal Recognition for Autonomous Driving
Robustness Evaluation of Machine Learning Models for Fault Classification and Localization In Power System Protection
Gradient constrained sharpness-aware prompt learning for vision-language models
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation
Different Spectral Representations in Optimized Artificial Neural Networks and Brains
Exponential Decay of Matrix $Φ$-Entropies on Markov Semigroups with Applications to Dynamical Evolutions of Quantum Ensembles
On the entailment problem for DL-Lite core ontologies and conjunctive queries with negation
Improvement of conformal maps combined with the Sinc approximation for derivatives over infinite intervals
How Artificial Intelligence Leads to Knowledge Why: An Inquiry Inspired by Aristotle's Posterior Analytics
A Relay-Chain-Powered Ciphertext-Policy Attribute-Based Encryption in Intelligent Transportation Systems
Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters
The Alpha-Beta-Symetric Divergence and their Positive Definite Kernel
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks
How does mobility affect the connectivity of interference-limited ad-hoc networks?
Identifying 3 moss species by deep learning, using the "chopped picture" method
On the equivalence of game and denotational semantics for the probabilistic mu-calculus
Variational Quantum Classifiers Through the Lens of the Hessian
Topology-aware Serverless Function-Execution Scheduling
Style4D-Bench: A Benchmark Suite for 4D Stylization
Direct initial orbit determination
Optimizing Deep Reinforcement Learning for American Put Option Hedging
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition
PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Harmonious Coexistence between Aloha and CSMA: Novel Dual-channel Modeling and Throughput Optimization
Did They Really Tweet That? Querying Fact-Checking Sites and Politwoops to Determine Tweet Misattribution
Social Network Analysis Inspired Content Placement with QoS in Cloud-based Content Delivery Networks
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
{\sigma}-GPTs: A New Approach to Autoregressive Models
Collision Avoidance for Unmanned Aerial Vehicles in the Presence of Static and Moving Obstacles
Range-based Coordinate Alignment for Cooperative Mobile Sensor Network Localization
Multi-Pair D2D Communications Aided by An Active RIS over Spatially Correlated Channels with Phase Noise
Open-Set Language Identification
Memformer: The Memory-Augmented Transformer
Image Classification with CondenseNeXt for ARM-Based Computing Platforms
Racial Bias in the Beautyverse
Geometric properties of graph layouts optimized for greedy navigation
Enhancing Crime Scene Investigations through Virtual Reality and Deep Learning Techniques
Sensitivity analysis with a 3D mixed-dimensional code for DC geoelectrical investigations of landfills: synthetic tests
On some tensor tubal-Krylov subspace methods via the T-product
Optimum Multi-Antenna Ambient Backscatter Receiver for General Binary-Modulated Signal
Visualizations Relevant to The User By Multi-View Latent Variable Factorization
Joint Computing, Pushing, and Caching Optimization for Mobile Edge Computing Networks via Soft Actor-Critic Learning
AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling
Performance Evaluation of IEEE 802.11bf Protocol in the sub-7 GHz Band
Uplink Grant-Free Random Access Solutions for URLLC services in 5G New Radio
Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition
Semantic F1 Scores: Fair Evaluation Under Fuzzy Class Boundaries
Generative AI in Medicine
Exploring the power of GPU's for training Polyglot language models
LoAdaBoost: Loss-Based AdaBoost Federated Machine Learning on medical Data
Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring