yusuke1997/dblp-id-title huggingface dataset:
Deep Reinforcement Learning for 5*5 Multiplayer Go
Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability
Fault and Byzantine Tolerant Self-stabilizing Mobile Robots Gathering - Feasibility Study -
BiofilmQuant: A Computer-Assisted Tool for Dental Biofilm Quantification
Sequentially Sampled Chunk Conformer for Streaming End-to-End ASR
LaneCorrect: Self-supervised Lane Detection
EmoSteer-TTS: Fine-Grained and Training-Free Emotion-Controllable Text-to-Speech via Activation Steering
A particle system with mean-field interaction: Large-scale limit of stationary distributions
Solving Dynamic Optimization Problems to a Specified Accuracy: An Alternating Approach using Integrated Residuals
Evaluation of Interpretability Methods and Perturbation Artifacts in Deep Neural Networks
Object Detection for Comics using Manga109 Annotations
A Noise is Worth Diffusion Guidance
Masked Diffusion Language Models with Frequency-Informed Training
Semantic See-Through Rendering on Light Fields
A spectrally accurate method for the dielectric obstacle scattering problem and applications to the inverse problem
Semi-Supervised Preference Optimization with Limited Feedback
Striving for Simplicity: The All Convolutional Net
An Adaptive ALE Scheme for Non-Ideal Compressible-Fluid Dynamics over Dynamic Unstructured Meshes
Location Identification of Power Line Outages Using PMU Measurements with Bad Data
MMOne: Representing Multiple Modalities in One Scene
Two-sided uniformly randomized GSVD for large-scale discrete ill-posed problems with Tikhonov regularizations
Towards Operating Wind Turbine Inspections using a LiDAR-equipped UAV
Estimation of Ground Contacts from Human Gait by a Wearable Inertial Measurement Unit using machine learning
Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
3D High-Quality Magnetic Resonance Image Restoration in Clinics Using Deep Learning
HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Study of SIC and RLS Channel Estimation for Large-Scale Antenna Systems with 1-Bit ADCs
TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley
ROBBO: An Efficient Method for Pareto Front Estimation with Guaranteed Accuracy
Interscript: A dataset for interactive learning of scripts through error feedback
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image
Metodi Iterativi per Sistemi Lineari
Identifying the Group-Theoretic Structure of Machine-Learned Symmetries
Six Levels of Privacy: A Framework for Financial Synthetic Data
Electric Democracy: Proof of Work to secure Elections
Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition
From r to Q * : Your Language Model is Secretly a Q-Function
A Critical Note on Social Cloud
The state hidden subgroup problem and an efficient algorithm for locating unentanglement
Optimal-size problem kernels for d-Hitting Set in linear time and space
Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training
Supervised Training of Siamese Spiking Neural Networks with Earth's Mover Distance
Exergames for telerehabilitation
Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Managing level of detail through peripheral degradation: Effects on search performance with a head-mounted display
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study
Discrete Gradient Line Fields on Surfaces
Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
Using the Makerspace to Create Educational Open-source Software for Electrical Circuits: A Learning Experience
51% Attack via Difficulty Increase with a Small Quantum Miner
Finite Time Adaptive Stabilization of LQ Systems
RNN-based Generative Model for Fine-Grained Sketching
Multirate Partial Differential Equations for the Efficient Simulation of Low-Frequency Problems with Pulsed Excitations
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages
UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection
Kinematics of A 3-PRP planar parallel robot
FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving
Inexact Alternating Optimization for Phase Retrieval In the Presence of Outliers
Topological Eigenvalue Theorems for Tensor Analysis in Multi-Modal Data Fusion
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes
A Novel BERT-based Classifier to Detect Political Leaning of YouTube Videos based on their Titles
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
Data-driven Operation of the Resilient Electric Grid: A Case of COVID-19
Approximation Algorithms for Clustering with Minimum Sum of Radii, Diameters, and Squared Radii
A polynomial formula for the perspective four points problem
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
2D Eddy Current Boundary Value Problems for Power Cables with Helicoidal Symmetry
Chain Reduction Preserves the Unrooted Subtree Prune-and-Regraft Distance
Upper Bounds to Genome Rearrangement Problem using Prefix Transpositions
Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors
Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
Semantic Rate-Distortion Theory with Applications
A Semi-automatic Cell Tracking Process Towards Completing the 4D Atlas of C. elegans Development
Transactional Partitioning: A New Abstraction for Main-Memory Databases
Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets
Strong-majority bootstrap percolation on regular graphs with low dissemination threshold
Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers
Federated Aggregation of Demand Flexibility
On tradeoffs between width- and fill-like graph parameters
Sigma-MoE-Tiny Technical Report
UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactions
Privacy against Statistical Matching: Inter-User Correlation
Rapid Whole Brain Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation
Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancement
MAVUL: Multi-Agent Vulnerability Detection via Contextual Reasoning and Interactive Refinement
Mass Balance Approximation of Unfolding Improves Potential-Like Methods for Protein Stability Predictions
Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantees via Constrained Mean-Field Reinforcement Learning
Privacy-aware Data Trading
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints
Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates
ReTiCaM: Real-time Human Performance Capture from Monocular Video
Environmental Sound Extraction Using Onomatopoeia
Anti-bullying Adaptive Cruise Control: A proactive right-of-way protection approach
Measurement-based Online Available Bandwidth Estimation employing Reinforcement Learning
Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows
Analysis of a Discontinuous Galerkin Method for Diffusion Problems on Intersecting Domains
Query Interface Integrator For Domain Specific Hidden Web
Axiomatization of an importance index for k-ary games
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
TransCrimeNet: A Transformer-Based Model for Text-Based Crime Prediction in Criminal Networks
Informative Gene Selection for Microarray Classification via Adaptive Elastic Net with Conditional Mutual Information
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
Efficient On-line Computation of Visibility Graphs
Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems
GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
A Survey of Cybersecurity and Resilience of Digital Manufacturing
CountXplain: Interpretable Cell Counting with Prototype-Based Density Map Estimation
Toward a comprehensive simulation framework for hypergraphs: a Python-base approach
Generalized Approximate Message Passing for the Cosparse Analysis Model
Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility
A modified convolution quadrature combined with the method of fundamental solutions and Galerkin BEM for acoustic scattering
On The Fundamental Energy Tradeoffs of Geographical Load Balancing
Stochastic Data-Driven Predictive Control with Equivalence to Stochastic MPC
Face Cartoonisation For Various Poses Using StyleGAN
EcoTransformer: Attention without Multiplication
Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
SOLAS: Superpositioning an Optical Lens in Automotive Simulation
Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
2PS: High-Quality Edge Partitioning with Two-Phase Streaming
Two-Manifold Problems
Mary Astell's words in A Serious Proposal to the Ladies (part I), a lexicographic inquiry with NooJ
Oblivious Transfer using Elliptic Curves
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction
Gaussian Variational Inference with Non-Gaussian Factors for State Estimation: A UWB Localization Case Study
Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips
Quantum and Classical Combinatorial Optimizations Applied to Lattice-Based Factorization
LoSAM: Local Search in Additive Noise Models with Unmeasured Confounders, a Top-Down Global Discovery Approach
Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
Harary polynomials
Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
Average Case Recovery Analysis of Tomographic Compressive Sensing
Machine Learning Extreme Acoustic Non-reciprocity in a Linear Waveguide with Multiple Nonlinear Asymmetric Gates
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework
Surprise maximization reveals the community structure of complex networks
Efficient Neural Task Adaptation by Maximum Entropy Initialization
GPS-DRIFT: Marine Surface Robot Localization using IMU-GPS Fusion and Invariant Filtering
dRTI: Directional Radio Tomographic Imaging
A Fast Monte Carlo algorithm for evaluating matrix functions with application in complex networks
Sensing-Enhanced Handover Criterion for Low-Altitude Wireless Networks (LAWNs)
Smart mobile microscopy: towards fully-automated digitization
Using Model-Theoretic Approaches to Uncover Linguistic Organization
A multicenter study on radiomic features from T 2 -weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics
Automated Workers Ergonomic Risk Assessment in Manual Material Handling using sEMG Wearable Sensors and Machine Learning
LLAMA: Leveraging Learning to Automatically Manage Algorithms
Mapping Subsets of Scholarly Information
A Goemans-Williamson type algorithm for identifying subcohorts in clinical trials
Optimizing Chain-of-Thought Reasoning: Tackling Arranging Bottleneck via Plan Augmentation
Convolutional autoencoder for the spatiotemporal latent representation of turbulence
Understanding Generative AI Capabilities in Everyday Image Editing Tasks
Starting a Dialog between Model Checking and Fault-tolerant Distributed Algorithms
Machine learning and optimization-based approaches to duality in statistical physics
Multiscale Graph Neural Network for Turbulent Flow-Thermal Prediction Around a Complex-Shaped Pin-Fin
Safety Verification of Phaser Programs
Breast Cancer Classification Based on Histopathological Images Using a Deep Learning Capsule Network
Improving Part-of-Speech Tagging for NLP Pipelines
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
Some bounds on the cardinality of the b -symbol weight spectrum of codes
Novelty Detection via Non-Adversarial Generative Network
Relational Division in Rank-Aware Databases
HalCECE: A Framework for Explainable Hallucination Detection through Conceptual Counterfactuals in Image Captioning
Finding Minimal Cost Herbrand Models with Branch-Cut-and-Price
An Efficient Encryption Algorithm for P2P Networks Robust Against Man-in-the-Middle Adversary
M 3 CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition
Knowledge Enhanced Attention for Robust Natural Language Inference
State Anxiety Biomarker Discovery: Electrooculography and Electrodermal Activity in Stress Monitoring
Reconfiguration on nowhere dense graph classes
Field Testing of Software Applications
Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models
Commonsense Knowledge Mining from Term Definitions
Energy consumption of code small language models serving with runtime engines and execution providers
Codifying Natural Langauge Tasks
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans
Geographical Asynchronous Information Access for Distributed Systems
On the suitability of the 2 x 2 games for studying reciprocal cooperation and kin selection
Intriguing Parameters of Structural Causal Models
Tikhonov regularization for polynomial approximation problems in Gauss quadrature points
Adaptive Braking for Mitigating Gradient Delay
Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5
CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage
Dynamic TDD: the Asynchronous Case and the Synchronous Case
Constructive S4 modal logics with the finite birelational frame property
Analysis of ELSA COVID-19 Substudy response rate using machine learning algorithms
Dependable End-to-End Delay Constraints for Real-Time Systems using SDNs
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection
Multi-sensor authentication to improve smartphone security
Evaluation of deep learning architectures for wildlife object detection: A comparative study of ResNet and Inception
Differential Privacy for Functions and Functional Data
Image Moment Models for Extended Object Tracking
Rapid Prototyping of Standard-Compliant Visible Light Communications System
Situation-Aware Integration and Transmission of Safety Information for Smart Railway Vehicles
Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
On the Limits of Innate Planning in Large Language Models
Dirichlet spectral-Galerkin approximation method for the simply supported vibrating plate eigenvalues
Towards Reversible Computation in Erlang
MSSPlace: Multi-Sensor Place Recognition with Visual and Text Semantics
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
Ground Truth Free Denoising by Optimal Transport
Generalized SHAP: Generating multiple types of explanations in machine learning
Modeling Task Mapping for Data-intensive Applications in Heterogeneous Systems
Building a Kannada POS Tagger Using Machine Learning and Neural Network Models
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model
ModelFactory: A Matlab/Octave based toolbox to create human body models
Classification of 4 types of White blood cell images
AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
Nonlinear Sequential Accepts and Rejects for Identification of Top Arms in Stochastic Bandits
Towards Explainable Scientific Venue Recommendations
Resource-Efficient Glioma Segmentation on Sub-Saharan MRI
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning
Unified Video Editing with Temporal Reasoner
A critical appraisal of water table depth estimation: Challenges and opportunities within machine learning
Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods
Towards a General Market for Cloud-Edge-IoT Continuum
Fine-grained Visual Classification with High-temperature Refinement and Background Suppression
TreeFormer: a Semi-Supervised Transformer-based Framework for Tree Counting from a Single High Resolution Image
Learning Diffusion at Lightspeed
Learning invariant features through local space contraction
Higher-order MRFs based image super resolution: MMSE or MAP?
Deploying SIP-based Mobile Exam Application onto Next Generation Network testbed
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning
MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation
Archiving: The Overlooked Spreadsheet Risk
Distributed Self Management for Distributed Security Systems
The "paradox" of computability and a recursive relative version of the Busy Beaver function
Image Deblurring by Exploring In-depth Properties of Transformer
Bridging spatial awareness and global context in medical image segmentation
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Computing weak distances between the 2-sphere and its nonsmooth approximations
TADOC: Text Analytics Directly on Compression
A First-Order Linear Energy Stable Scheme for the Cahn-Hilliard Equation with Dynamic Boundary Conditions under the Effect of Hyperbolic Relaxation
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics
Learned human-agent decision-making, communication and joint action in a virtual reality environment
AI pipeline for accurate retinal layer segmentation using OCT 3D images
On-Off Transmission Policy for Wireless Powered Communication with Energy Storage
Adaptive Spectral Graph Convolutional Networks for Skeleton-Based Action Recognition
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration
Using Videos to Evaluate Image Model Robustness
NaN-Propagation: A Novel Method for Sparsity Detection in Black-Box Computational Functions
Some remarks on the uncolored versions of the original CFI-graphs
Safe Explicable Robot Planning
Semi-Decentralized Network Slicing for Reliable V2V Service Provisioning: A Model-free Deep Reinforcement Learning Approach
Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
Knowledge distillation through geometry-aware representational alignment
Efficient Topology-Controlled Sampling of Implicit Shapes
'Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form
Efficient approximate unitary designs from random Pauli rotations
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions
Multi-Lingual Ontology Server (MOS) for discovering Web services
Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement
Temporal Memory Relation Network for Workflow Recognition from Surgical Video
Modeling IEEE 802.15.4 Networks over Fading Channels
Radical Interpretation Described using Terms from Biological Evolution
Faster Parallel Solver for Positive Linear Programs via Dynamically-Bucketed Selective Coordinate Descent
ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations
Decipher the Modality Gap in Multimodal Contrastive Learning: From Convergent Representations to Pairwise Alignment
Reference Receiver Aided Digital Self-Interference Cancellation in MIMO Full-Duplex Transceivers
GraphCheck: Multi-Path Fact-Checking with Entity-Relationship Graphs
Unveiling Crowdfunding Futures: Analyzing Campaign Outcomes through Distributed Models and Big Data Perspectives
New Online Communities: Graph Deep Learning on Anonymous Voting Networks to Identify Sybils in Polycentric Governance
A Note On Operator-Level Query Execution Cost Modeling
Deux améliorations concurrentes des PID
A Bayesian view of Single-Qubit Clocks, and an Energy versus Accuracy tradeoff
Hardware Accelerators in Autonomous Driving
Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge
Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs
Mel-Band RoFormer for Music Source Separation
Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
Transformers and Their Roles as Time Series Foundation Models
Non-normal modalities in variants of Linear Logic
D-Algebraic Functions
Air-Ground Collaboration for Language-Specified Missions in Unknown Environments
ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations
Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial Training
Online Continual Learning via Spiking Neural Networks with Sleep Enhanced Latent Replay
Tu crois que c'est vrai ? Diversite des regimes d'enonciation face aux fake news et mecanismes d'autoregulation conversationnelle
Concentration in the mobile operating systems market
RMAvatar: Photorealistic Human Avatar Reconstruction from Monocular Video Based on Rectified Mesh-embedded Gaussians
Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
Automated Formal Equivalence Verification of Pipelined Nested Loops in Datapath Designs
The Spatial Complexity of Optical Computing and How to Reduce It
Deeper and Wider Networks for Performance Metrics Prediction in Communication Networks
Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks
Neural Network Renormalization Group
A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions
Under the Skin of Foundation NFT Auctions
BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization
Task-Adaptive Robot Learning from Demonstration under Replication with Gaussian Process Models
Generative AI-enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception
Asynchronous Computation of Tube-based Model Predictive Control
Cyberbullying Detection Using Deep Neural Network from Social Media Comments in Bangla Language
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021
Teacher-Student Architecture for Knowledge Learning: A Survey
Using Deep Neural Network Approximate Bayesian Network
ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting
SAT-DIFF: A Tree Diffing Framework Using SAT Solving
Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild
Numerical Discretization Methods for Linear Quadratic Control Problems with Time Delays