yusuke1997/dblp-id-title huggingface dataset:
An FMM Accelerated Poisson Solver for Complicated Geometries in the Plane using Function Extension
EasyCalib: Simple and Low-Cost In-Situ Calibration for Force Reconstruction with Vision-Based Tactile Sensors
Complex Networks: New Concepts and Tools for Real-Time Imaging and Vision
Solutions for Subset Sum Problems with Special Digraph Constraints
ExpNet: A unified network for Expert-Level Classification
CTR Prediction on Alibaba's Taobao Advertising Dataset Using Traditional and Deep Learning Models
MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM
Diversity and Adjudication
Local SGD for Saddle-Point Problems
Robust Learning of Diffusion Models with Extremely Noisy Conditions
Zero-shot Singing Technique Conversion
Compact Convolutional Neural Network Cascade for Face Detection
Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention
Formalising Surveillance and Identity
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Application of Deep Learning for Factor Timing in Asset Management
Subspace Node Pruning
Properties of Stochastic Kronecker Graph
Whole-Body Exploration with a Manipulator Using Heat Equation
VLM-PL: Advanced Pseudo Labeling approach Class Incremental Object Detection with Vision-Language Model
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
From Reports to Reality: Testing Consistency in Instagram's Digital Services Act Compliance Data
Two SVDs produce more focal deep learning representations
Proceedings 14th International Workshop on Non-Classical Models of Automata and Applications (NCMA 2024), NCMA 2024, Göttingen, Germany, 12-13 August 2024
Real-Time Face & Eye Tracking and Blink Detection using Event Cameras
Almost Optimal Distribution-free Junta Testing
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models
Update the Root of Integrity Tree in Secure Non-Volatile Memory Systems with Low Overhead
Loss-calibrated expectation propagation for approximate Bayesian decision-making
Prediction of Delirium Risk in Mild Cognitive Impairment Using Time-Series data, Machine Learning and Comorbidity Patterns - A Retrospective Study
PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
Ripple : Simplified Large-Scale Computation on Heterogeneous Architectures with Polymorphic Data Layout
Tracking Motion and Proxemics using Thermal-sensor Array
Leveraging inductive bias of neural networks for learning without explicit human annotations
Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
EuroGEST: Investigating gender stereotypes in multilingual language models
Digital Calibration Method for High Resolution in Analog/RF Designs
Phonetically rich corpus construction for a low-resourced language
XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
Entropy, neutro-entropy and anti-entropy for neutrosophic information
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?
Test Metrics for Recurrent Neural Networks
Market forecasting using Hidden Markov Models
A Performance Study of Data Mining Techniques: Multiple Linear Regression vs. Factor Analysis
Topic Model Based Multi-Label Classification from the Crowd
Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
Multilinear extension of k-submodular functions
Photo-realistic Image Super-resolution with Fast and Lightweight Cascading Residual Network
End-to-end Story Plot Generator
Hand Tracking based on Hierarchical Clustering of Range Data
Optimal Complexity and Certification of Bregman First-Order Methods
Training Saturation in Layerwise Quantum Approximate Optimisation
A class of equivalent idle-time-order-based routing policies for heterogeneous multi-server systems
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN
Data-driven sensor scheduling for remote estimation in wireless networks
Variational Depth from Focus Reconstruction
Error analysis of the Lie splitting for semilinear wave equations with finite-energy solutions
A loopless and branchless $O(1)$ algorithm to generate the next Dyck word
Adapting to unknown noise level in sparse deconvolution
Drone-based Object Counting by Spatially Regularized Regional Proposal Network
AFDI: A Virtualization-based Accelerated Fault Diagnosis Innovation for High Availability Computing
Neural Collision Clearance Estimator for Fast Robot Motion Planning
Multilayer Network of Cardiovascular Diseases and Depression via Multipartite Projection
Joint Distributed Generation Maximization and Radial Distribution Network Reconfiguration
Modeling Programs Hierarchically with Stack-Augmented LSTM
Helios 2.0: A Robust, Ultra-Low Power Gesture Recognition System Optimised for Event-Sensor based Wearables
A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles
Embodied Tactile Perception of Soft Objects Properties
MaterialFusion: High-Quality, Zero-Shot, and Controllable Material Transfer with Diffusion Models
Insights from Interviews with Teachers and Students on the Use of a Social Robot in Computer Science Class in Sixth Grade
On the Size of Balls and Anticodes of Small Diameter under the Fixed-Length Levenshtein Metric
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds
Are crossing dependencies really scarce?
EnKode: Active Learning of Unknown Flows with Koopman Operators
An Improvement on the Hasse-Weil Bound and applications to Character Sums, Cryptography and Coding
Kripke Semantics of the Perfectly Transparent Equilibrium
Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities
Empowering Language Models with Active Inquiry for Deeper Understanding
Bias as a Virtue: Rethinking Generalization under Distribution Shifts
Towards objectively evaluating the quality of generated medical summaries
Personalized Prediction Models for Changes in Knee Pain among Patients with Osteoarthritis Participating in Supervised Exercise and Education
Extending counterfactual accounts of intent to include oblique intent
Syntax-Aware Language Modeling with Recurrent Neural Networks
MediChainTM: A Secure Decentralized Medical Data Asset Management System
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms
Parallel Greedy Spanners
Redesigning the Open Mobile Alliance License Choice Algorithm
Intelligent Cross-layer and Reliable Opportunistic Routing Algorithm for Internet of Things
Experimental Analysis of Machine Learning Techniques for Finding Search Radius in Locality Sensitive Hashing
Adaptive Lyapunov-constrained MPC for fault-tolerant AUV trajectory tracking
BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations
Automatic Analog Beamforming Transceiver for 60 GHz Radios
A New Metric on Symmetric Group and Application to Block Permutation Codes
Learning Deep Representations By Distributed Random Samplings
Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators
An Active Approach for Model Interpretation
Improved Counting under Continual Observation with Pure Differential Privacy
Discretization and Optimization using Graphs: One-Dimensional Algorithm
Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Hybrid transforms of constructible functions
Generic criticality of community structure in random graphs
Cross-Sequence Semi-Supervised Learning for Multi-Parametric MRI-Based Visual Pathway Delineation
PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network
Optimal finite element approximation of unique continuation
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
Parareal Algorithms for Stochastic Maxwell Equations Driven by Multiplicative Noise
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
Variational Quantum Harmonizer: Generating Chord Progressions and Other Sonification Methods with the VQE Algorithm
An Algorithm to Self-Extract Secondary Keywords and Their Combinations Based on Abstracts Collected using Primary Keywords from Online Digital Libraries
Stabbing Faces By a Convex Curve
PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method
Evaluating Zero-Shot Scoring for In Vitro Antibody Binding Prediction with Experimental Validation
Submodularity In Machine Learning and Artificial Intelligence
Almost Shortest Paths and PRAM Distance Oracles in Weighted Graphs
Scientometric analysis of Condensed Matter Physics journal
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
Open Access does not increase citations for research articles from The Astrophysical Journal
A Case Study on Logical Relations using Contextual Types
$k$-Position, Follow, Equation and $k$-C-Continuation Tree Automata Constructions
Predicting the Gender of Indonesian Names
Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search
NeuriCam: Video Super-Resolution and Colorization Using Key Frames
Offer Personalization using Temporal Convolution Network and Optimization
Robust Hypothesis Testing with a Relative Entropy Tolerance
Improved Methods for Computing Distances between Unordered Trees Using Integer Programming
Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering
Multimodal Gaze Stabilization of a Humanoid Robot based on Reafferences
Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization
Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
On The Connection of Benford's Law and Neural Networks
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
Biometric Template Storage with Blockchain: A First Look into Cost and Performance Tradeoffs
A Decision Support System for Communication Network Analysis Based on Hybrid Petri Net Models
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
JSAnalyzer: A Web Developer Tool for Simplifying Mobile Pages Through JavaScript Optimizations
A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater Robotics
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks
Probability density derivation and analysis of SINR in massive MIMO systems with MF beamformer
Enhancing Computational Cognitive Architectures with LLMs: A Case Study
Leveraging Graph Embeddings for Opinion Leader Detection
Automated Objective Surgical Skill Assessment in the Operating Room Using Unstructured Tool Motion
GTIRB: Intermediate Representation for Binaries
Designing AI for Online-to-Offline Safety Risks with Young Women: The Context of Social Matching
The Role of Pragmatics in Legal Norm Representation
Efficient Stochastic Differential Equation for DEM Super Resolution with Void Filling
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting
Logical Maneuvers: Detecting and Mitigating Adversarial Hardware Faults in Space
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation
Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty
QuanAnts Machine: A Quantum Algorithm for Biomarker Discovery
Entropy-based Pruning for Learning Bayesian Networks using BIC
Masked Pretraining for Multi-Agent Decision Making
Predicting The Stock Trend Using News Sentiment Analysis and Technical Indicators in Spark
Graphical Models for Decision-Making: Integrating Causality and Game Theory
Generalized Control Functions via Variational Decoupling
Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021
Learning to Structure Long-term Dependence for Sequential Recommendation
NOA: a versatile, extensible tool for AI-based organoid analysis
Fault-Tolerant Locating-Dominating sets with Error-correction
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
FIRP: Faster LLM inference via future intermediate representation prediction
Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4: 4: 4 Data
CrossVTON: Mimicking the Logic Reasoning on Cross-category Virtual Try-on guided by Tri-zone Priors
On Addressing Isolation in Blockchain-Based Self-Sovereign Identity
Bias-Corrected Data Synthesis for Imbalanced Learning
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference
KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought
The Effect of Communication on Noncooperative Multiplayer Multi-Armed Bandit Problems
A Comprehensive Survey on Aspect Based Sentiment Analysis
A Computation-Efficient CNN System for High-Quality Brain Tumor Segmentation
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Anytime Ellipsoidal Over-approximation of Forward Reach Sets of Uncertain Linear Systems
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Better Language Model Inversion by Compactly Representing Next-Token Distributions
Multi-Stage Residual-Aware Unsupervised Deep Learning Framework for Consistent Ultrasound Strain Elastography
Event-triggered Consensus Control of Heterogeneous Multi-agent Systems: Model- and Data-based Analysis
Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales
Local discontinuous Galerkin method for the Backward Feynman-Kac Equation
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research
An Operational Framework for Specifying Memory Models using Instantaneous Instruction Execution
Partially Recursive Acceptance Rejection
Joint source-channel coding for a quantum multiple access channel
Learning Human-Object Interaction as Groups
Uniform observability of the one-dimensional wave equation for non-cylindrical domains. Application to the control's support optimization
Diversity-induced resonance in the response to social norms
Self-Supervised Object-Level Deep Reinforcement Learning
Are Hitting Formulas Hard for Resolution?
Full Abstraction for Free
A Fast Distributed Algorithm for (Δ+1)-Edge-Coloring
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
HuMoT: Human Motion Representation using Topology-Agnostic Transformers for Character Animation Retargeting
Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
Learning Logic Rules for Document-level Relation Extraction
Node Subsampling for Multilevel Meshfree Elliptic PDE Solvers
MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design
Metadata Management for AI-Augmented Data Workflows
EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments
Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs
Justifications for Generalizations of Approval Voting
ERA Revisited: Theoretical and Experimental Evaluation
Superconducting Optoelectronic Neurons V: Networks and Scaling
A Comprehensive Overview of Fish-Eye Camera Distortion Correction Methods
Graph Neural Network approaches for single-cell data: A recent overview
Social Structure of Facebook Networks
Architectural Resilience to Foreground-and-Background Adversarial Noise
An Accurate and Robust Eulerian Finite Element Method for Partial Differential Equations on Evolving Surfaces
Two Birds with One Stone: Improving Factuality and Faithfulness of LLMs via Dynamic Interactive Subspace Editing
Tripartite Perspective on the Copyright-Sharing Economy in China
MIMO with 1-bit Pre/Post-Coding Resolution: A Quantum Annealing Approach
Automatic Structural Scene Digitalization
Self-supervised Pre-training for Transferable Multi-modal Perception
What is NP? - Interpretation of a Chinese paradox "white horse is not horse"
Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning
Electoral Competition under Best-Worst Voting Rules
Multi-level Memristive Memory with Resistive Networks
Hyperdimensional computing as a framework for systematic aggregation of image descriptors
VOGCLUSTERS: an example of DAME web application
Communication Tradeoffs in Wireless Networks
SP 3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation
T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method
Incentive Engineering Framework for Crowdsourcing Systems
On Composition and Implementation of Sequential Consistency (Extended Version)
Weakly supervised deep learning-based intracranial hemorrhage localization
Bioinspired SLAM Approach for Unmanned Surface Vehicle
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
Deep Reinforcement Learning for Multi-Agent Interaction
A Robust Task-Level Control Architecture for Learned Dynamical Systems
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
Investigating Diffusion of Scientific Knowledge on Twitter: A Study of Topic Networks of Opioid Publications
MerGen: Micro-electrode recording synthesis using a generative data-driven approach
Adversarial Multimodal Network for Movie Question Answering
Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay
SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation
UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data
Prototyping Virtual Reality Serious Games for Building Earthquake Preparedness: The Auckland City Hospital Case Study
Hadamard-Hitchcock decompositions: identifiability and computation
The Quadratic Graver Cone, Quadratic Integer Minimization, and Extensions
Modular Techniques For Noncommutative Gröbner Bases
Some observations on computer lip-reading: moving from the dream to the reality
Limits of Risk Predictability in a Cascading Alternating Renewal Process Model
Self Configurable Re-link Establishment using Continuous Neighbor Discovery in Asynchronous Sensor Networks
AgriGPT-Omni: A Unified Speech-Vision-Text Framework for Multilingual Agricultural Intelligence
Task Oriented Conversational Modelling With Subjective Knowledge
An interpretable neural network model through piecewise linear approximation
Variational Inference for Scalable 3D Object-centric Learning
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
I3: A Non-Parametric Alternative to the Journal Impact Factor
Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments]
Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models
How the symbol grounding of living organisms can be realized in artificial agents
Recognising Biomedical Names: Challenges and Solutions
WM-NET: Robust Deep 3D Watermarking with Limited Data
Prediction accuracy versus rescheduling flexibility in elective surgery management
Synthesis and Optimization of Reversible Circuits - A Survey
Query strategy for sequential ontology debugging
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
TGC-Net: A Structure-Aware and Semantically-Aligned Framework for Text-Guided Medical Image Segmentation
Optimizing Dysarthria Wake-Up Word Spotting: An End-to-End Approach for SLT 2024 LRDWWS Challenge
Preregistering NLP Research
Recognition of All Categories of Entities by AI
Renyi entropies as a measure of the complexity of counting problems
IM-based Pilot-assisted Channel Estimation for FTN Signaling HF Communications
ConCLVD: Controllable Chinese Landscape Video Generation via Diffusion Model
How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias
A modified Genetic Algorithm for continuous estimation of CPR quality parameters from wrist-worn inertial sensor data
Some Efficient Solutions to Yao's Millionaire Problem
High-Precision Fruit Localization Using Active Laser-Camera Scanning: Robust Laser Line Extraction for 2D-3D Transformation
Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling
Recursive Neural Language Architecture for Tag Prediction
ADAMANT: A Pipeline for Adaptable Manipulation Tasks
HueManity: Probing Fine-Grained Visual Perception in MLLMs
A Shooting Formulation of Deep Learning
Cognition Chain for Explainable Psychological Stress Detection on Social Media
Multiple-Relaxation-Time Lattice Boltzmann Approach to Compressible Flows with Flexible Specific-Heat Ratio and Prandtl Number
Big Data Application for Network Level Travel Time Prediction
Automated Argument Generation from Legal Facts
DNA Linear Block Codes: Generation, Error-detection and Error-correction of DNA Codeword
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks
LF: Online Multi-Robot Path Planning Meets Optimal Trajectory Control
Procedural Fairness in Machine Learning
Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions
Analysis of 1-bit Output Noncoherent Fading Channels in the Low SNR Regime
Performance evaluation of a NDN forwarder using statistical model checking
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges
High-level Synthesis
Geometry based heuristics for unit disk graphs
MPO: An Efficient and Low-cost Peer-to-Peer Overlay for Autonomic Communications
WebRTC Metadata and IP Leakage in Modern Browsers: A Cross-Platform Measurement Study
Learnable wavelet neural networks for cosmological inference
Finite Expression Method for Learning Dynamics on Complex Networks
SpiRit-LM: Interleaved Spoken and Written Language Model
Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation Parsing
Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
Step and Search Control Method to Track the Maximum Power in Wind Energy Conversion Systems A Study
Color Sails: Discrete-Continuous Palettes for Deep Color Exploration
Success factors for Crowdfunding founders and funders
Adjusting Pretrained Backbones for Performativity
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification
Hierarchical Multi-Agent DRL Based Dynamic Cluster Reconfiguration for UAV Mobility Management
AttentionLut: Attention Fusion-based Canonical Polyadic LUT for Real-time Image Enhancement
Shifted HSS preconditioners for the indefinite Helmholtz equation
Normalization and sub-formula property for Lambek with product and PCMLL - Partially Commutative Multiplicative Linear Logic
An Efficient Multi-Indicator and Many-Objective Optimization Algorithm based on Two-Archive
SyncDreamer for 3D Reconstruction of Endangered Animal Species with NeRF and NeuS
A Review on Bio-Cyber Interfaces for Intrabody Molecular Communications Systems
autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks