yusuke1997/dblp-id-title huggingface dataset:
Robust Reinforcement Learning under Diffusion Models for Data with Jumps
Multi-Resolution Audio-Visual Feature Fusion for Temporal Action Localization
Design strategies for controlling neuron-connected robots using reinforcement learning
Cyberattack on the Microgrids Through Price Modification
Tight entropy bound based on p-quasinorms
Achieving the Desired Dynamic Behavior in Multi-Robot Systems Interacting with the Environment
The deal.II finite element library
Block shuffling learning for Deepfake Detection
Enriching a CP-Net by Asymmetric Merging
Online Social Networks and Terrorism 2.0 in Developing Countries
A Cost-Sensitive Visual Question-Answer Framework for Mining a Deep And-OR Object Semantics from Web Images
Data-Consistent Local Superresolution for Medical Imaging
Optimal coupling functions for fast and global synchronization of weakly coupled limit-cycle oscillators
Distributed and Decentralized Control and Task Allocation for Flexible Swarms
Scalable Oriented-Service Architecture for Heterogeneous and Ubiquitous IoT Domains
Exploring Artistic Visualization of Physiological Signals for Mindfulness and Relaxation: A Pilot Study
Speaker Identification using MFCC-Domain Support Vector Machine
First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions - A study using agent based modeling
Characterization Of A Class Of Graphs Related To Pairs Of Disjoint Matchings
Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability
MIDAS - An Influence Diagram for Management of Mildew in Winter Wheat
Query-Based Selection of Optimal Candidates under the Mallows Model
Lowering the Error Floor of Error Correction Code Transformer
Things Bayes can't do
A Wavelet Based Sparse Row-Action Method for Image Reconstruction in Magnetic Particle Imaging
Language Modelling for Source Code with Transformer-XL
Multi-Agent Deep Reinforcement Learning-Driven Mitigation of Adverse Effects of Cyber-Attacks on Electric Vehicle Charging Station
Advanced Algorithms for Autonomous Guidance of Solar-powered UAVs
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
Optimal Binary LCD Codes
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain
Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory
Gain scaling for multirate filter banks
The Latent Space Hypothesis: Toward Universal Medical Representation Learning
Expanding the Resolution Boundary of Outcome-Based Imperfect-Recall Abstraction in Games with Ordered Signals
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition
A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations
Action Spotting using Dense Detection Anchors Revisited: Submission to the SoccerNet Challenge 2022
Exploiting Variable Impedance for Energy Efficient Sequential Movements
A Note on an Inferentialist Approach to Resource Semantics
Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration
Technical notes: Syntax-aware Representation Learning With Pointer Networks
General Anomaly Detection of Underwater Gliders Validated by Large-scale Deployment Dataset
Real-time Dynamic-Mode Scheduling Using Single-Integration Hybrid Optimization for Linear Time-Varying Systems
Open-set Adversarial Defense
GM3: A General Physical Model for Micro-Mobility Vehicles
Analyzing Compression Techniques for Computer Vision
gen CNN: A Convolutional Architecture for Word Sequence Prediction
A low complexity approach of combining cooperative diversity and multiuser diversity in multiuser cooperative networks
Towards a Magnetically Actuated Laser Scanner for Endoscopic Microsurgeries
Soul: Breathe Life into Digital Human for High-fidelity Long-term Multimodal Animation
Application of Microgrids in Addressing Distribution Network Net-Load Ramping
Evaluation for Uncertain Image Classification and Segmentation
gec-metrics: A Unified Library for Grammatical Error Correction Evaluation
Simulation-based Evaluation of a Synchronous Transaction Model for Time-Sensitive Software-Defined Networks
Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays
Institutional Similarity Drives Cultural Similarity among Online Communities
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
Kahler: An Implementation of Discrete Exterior Calculus on Hermitian Manifolds
Approximate information state for approximate planning and reinforcement learning in partially observed systems
Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games
Are Large Language Models Chronically Online Surfers? A Dataset for Chinese Internet Meme Explanation
ExploitFlow, cyber security exploitation routes for Game Theory and AI research in robotics
Audio Attacks and Defenses against AED Systems - A Practical Study
Throwing Away Data Improves Worst-Class Error in Imbalanced Classification
Adaptation Algorithms for Speech Recognition: An Overview
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition
On a Generic Security Game Model
Human irrationality: both bad and good for reward inference
Conspiracy to Commit: Information Pollution, Artificial Intelligence, and Real-World Hate Crime
f-Divergence Inequalities via Functional Domination
MagicEdit: High-Fidelity and Temporally Coherent Video Editing
Sparse Norm Filtering
A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control
SPHERE: Spherical partitioning for large-scale routing optimization
Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus
Attention-Based Keyword Localisation in Speech using Visual Grounding
A family of metrics from the truncated smoothing of Reeb graphs
Learning to generalize to new compositions in image understanding
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
Middle History of Logic Programming
The Littlewood-Offord Problem for Markov Chains
Impact of Spectrum Sharing on the Efficiency of Faster-Than-Nyquist Signaling
Counterfactual Reciprocal Recommender Systems for User-to-User Matching
Minimizing Task Space Frechet Error via Efficient Incremental Graph Search
Global hard thresholding algorithms for joint sparse image representation and denoising
Hep Cluster First Step Towards Grid Computing
Composite Self-Concordant Minimization
MIA-3DCNN: COVID-19 Detection Based on a 3D CNN
Active Noise Control in The New Century: The Role and Prospect of Signal Processing
Low-Resource Clickbait Spoiling for Indonesian via Question Answering
Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, modularity, diversity explosions, and mass extinction
How to Train an Accurate and Efficient Object Detection Model on Any Dataset
Resolving Confusion Over Third Order Accuracy of U-MUSCL
Quantum Graph Transformer for NLP Sentiment Classification
CGELBank: CGEL as a Framework for English Syntax Annotation
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue
Parameter fine-tuning method for MMG model using real-scale ship data
VMAS: Video-to-Music Generation via Semantic Alignment in Web Music Videos
Minimum Tournaments with the Strong S k -Property and Implications for Teaching
Features for Building CSP Portfolio Solvers
Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies
The maximum entropy state
Improving Fairness of AI Systems with Lossless De-biasing
Maximum number of zeroes of polynomials on weighted projective spaces over a finite field
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
Distribution of the search of evolutionary product unit neural networks for classification
HyperCAN: Hypernetwork-Driven Deep Parameterized Constitutive Models for Metamaterials
The Future of Artificial Intelligence (AI) and Machine Learning (ML) in Landscape Design: A Case Study in Coastal Virginia, USA
A Compact Coupling Interface Method with Accurate Gradient Approximation for Elliptic Interface Problems
ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths
Playing log(N)-Questions over Sentences
Strategic Storage Investment in Electricity Markets
Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning
Near-Optimal Pool Testing under Urgency Constraints
Identity-Link IRT for Label-Free LLM Evaluation: Preserving Additivity in TVD-MI Scores
CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition
Toward L ∞ -recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields
Leveraging Physical Layer Capabilites: Distributed Scheduling in Interference Networks with Local Views
Probing Structured Semantics Understanding and Generation of Language Models via Question Answering
ATM Fraud Detection using Streaming Data Analytics
Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings
Adapt before Continual Learning
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs
A Compact Model of Interface-Type Memristors Linking Physical and Device Properties
Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization
VecTrans: LLM Transformation Framework for Better Auto-vectorization on High-performance CPU
SynthLens: Visual Analytics for Facilitating Multi-step Synthetic Route Design
Need for Speed: A Comprehensive Benchmark of JPEG Decoders in Python
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware
SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate
Security of Deep Learning Methodologies: Challenges and Opportunities
Randomization yields simple O(n log star n) algorithms for difficult Omega(n) problems
A Neural Network Based Method with Transfer Learning for Genetic Data Analysis
What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics
Optimal Attitude Control of Large Flexible Space Structures with Distributed Momentum Actuators
A Unified Framework for Online Data-Driven Predictive Control with Robust Safety Guarantees
An Innovative Attention-based Ensemble System for Credit Card Fraud Detection
Dynamic Compressing Prompts for Efficient Inference of Large Language Models
Predicting New Research Directions in Materials Science using Large Language Models and Concept Graphs
Self-Supervised Representation Learning for Astronomical Images
The Popularity Hypothesis in Software Security: A Large-Scale Replication with PHP Packages
Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards
Poincaré Inequality for Local Log-Polyak-Lojasiewicz Measures : Non-asymptotic Analysis in Low-temperature Regime
Constructing Folksonomies from User-specified Relations on Flickr
UDUC: An Uncertainty-driven Approach for Learning-based Robust Control
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound
Fast Distributed Algorithms for Maximal Matching and Maximal Independent Set
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
Augmenting Dialog with Think-Aloud Utterances for Modeling Individual Personality Traits by LLM
A Path Integral Monte Carlo Method based on Feynman-Kac Formula for Electrical Impedance Tomography
Early Stopping for Interleaver Recovering of Turbo Codes
A complete language for faceted dataflow programs
Shortest Paths with Pairwise-Distinct Edge Labels: Finding Biochemical Pathways in Metabolic Networks
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
A Convenient Generalization of Schlick's Bias and Gain Functions
Video2StyleGAN: Encoding Video in Latent Space for Manipulation
AI Governance for Businesses
StyleWaveGAN: Style-based synthesis of drum sounds with extensive controls using generative adversarial networks
Deep Embedded Clustering with Distribution Consistency Preservation for Attributed Networks
Privacy Labelling and the Story of Princess Privacy and the Seven Helpers
Surface Defect Classification in Real-Time Using Convolutional Neural Networks
Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks
An Automated Data Engineering Pipeline for Anomaly Detection of IoT Sensor Data
Direct dissipation-based arc-length approach for the cracking elements method
Cost-effective and performant virtual WANs with CORNIFER
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics
Practical Newton-Type Distributed Learning using Gradient Based Approximations
Wait-free Replicated Data Types and Fair Reconciliation
SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders
Binary Signed-Digit Integers, the Stern Diatomic Sequence and Stern Polynomials
The Efficient Frontier in Randomized Social Choice
Reference-based Controllable Scene Stylization with Gaussian Splatting
Simultaneous Energy Harvesting and Hand Gesture Recognition in Large Area Monolithic Dye-Sensitized Solar Cells
Active Learning of Quantum System Hamiltonians yields Query Advantage
Cost-Effective Optimization and Implementation of the CRT-Paillier Decryption Algorithm for Enhanced Performance
A Learning-based Adaptive Compliance Method for Symmetric Bi-manual Manipulation
Integrated Green Cloud Computing Architecture
GA-SVM for Evaluating Heroin Consumption Risk
M4: Multi-Proxy Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image Analysis
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
Soft-Input Soft-Output Sphere Decoding
DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy
Finding Root Causes of Floating Point Error with Herbgrind
Alternating minimization algorithms for graph regularized tensor completion
A Language-Agnostic Logical Relation for Message-Passing Protocols
Mere account mein kitna balance hai? - On building voice enabled Banking Services for Multilingual Communities
A Unified Framework for Training Neural Networks
A constructive proof of the general Lovasz Local Lemma
New Lower Bounds for the Minimum Singular Value in Matrix Selection
Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems
Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization
Loss-analysis via Attention-scale for Physiologic Time Series
Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI
Towards AI-enabled Cyber Threat Assessment in the Health Sector
Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling
PhenoProfiler: Advancing Phenotypic Learning for Image-based Drug Discovery
A numerical damped oscillator approach to constrained Schrödinger equations
Joint model for intent and entity recognition
A Representation of Explicit Knowledge and Epistemic Indistinguishability in a Logic of Awareness
Algorithmic Aspects of Strategic Trading
LS-CS: Compressive Sensing on Least Squares Residual
A Modified de Casteljau Subdivision that Supports Smooth Stitching with Hierarchically Organized Bicubic Bezier Patches
Text Summarization Techniques: A Brief Survey
FOSSIL: Harnessing Feedback on Suboptimal Samples for Data-Efficient Generalisation with Imitation Learning for Embodied Vision-and-Language Tasks
Adaptive Nesterov Accelerated Distributional Deep Hedging for Efficient Volatility Risk Management
Space of Data through the Lens of Multilevel Graph
Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit
Bullseye: Structured Passage Retrieval and Document Highlighting for Scholarly Search
Agents Play Thousands of 3D Video Games
On Theoretical Limits of Learning with Label Differential Privacy
OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
An Over Complete Deep Learning Method for Inverse Problems
On the rank functions of $\mathcal{H}$-matroids
From Data-Driven to Purpose-Driven Artificial Intelligence: Systems Thinking for Data-Analytic Automation of Patient Care
Counting Solutions to Binomial Complete Intersections
A Computational Design and Evaluation Tool for 3D Structures with Planar Surfaces
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
Scalable Differentially Private Sketches under Continual Observation
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems
A general-purpose AI assistant embedded in an open-source radiology information system
Symmetries: From Proofs To Algorithms And Back
STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence
Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm
MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence
Unlocking Transfer Learning for Open-World Few-Shot Recognition
Do Answers to Boolean Questions Need Explanations? Yes
Order-2 Delaunay Triangulations Optimize Angles
Exploring Generalized Gait Recognition: Reducing Redundancy and Noise within Indoor and Outdoor Datasets
Nasal Patches and Curves for Expression-robust 3D Face Recognition
Synchronization and multi-cluster capabilities of oscillatory networks with adaptive coupling
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series
Training Progressively Binarizing Deep Networks Using FPGAs
Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation
A Faster LZ77-Based Index
Interpretable Clustering via Optimal Trees
DCASE 2018 Challenge: Solution for Task 5
List of Results on the Černý Conjecture and Reset Thresholds for Synchronizing Automata
The common ground of DAE approaches. An overview of diverse DAE frameworks emphasizing their commonalities
FwNet-ECA: Facilitating Window Attention with Global Receptive Fields through Fourier Filtering Operations
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation
Time-series Scenario Forecasting
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks
Seam360GS: Seamless 360° Gaussian Splatting from Real-World Omnidirectional Images
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection
A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data
LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs
Guiding Word Equation Solving using Graph Neural Networks (Extended Technical Report)
DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex
4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
Rook Theory of the Etzion-Silberstein Conjecture
A Next-Generation Data Language Proposal
Farewell to Westphalia: Crypto Sovereignty and Post-Nation-State Governaance
Succinct Choice Dictionaries
Speech Emotion Recognition Using Multi-Hop Attention Mechanism
Two Phases Leakage Detection Strategy Supported by DMAs
STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
A Graph Partitioning Algorithm for Leak Detection in Water Distribution Networks
Smartphone apps usage patterns as a predictor of perceived stress levels at workplace
AACC: Asymmetric Actor-Critic in Contextual Reinforcement Learning
LDMol: Text-Conditioned Molecule Diffusion Model Leveraging Chemically Informative Latent Space
Multitask Learning with Single Gradient Step Update for Task Balancing
Vibroacoustic simulations of acoustic damping materials using a fictitious domain approach
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Linear-time string indexing and analysis in small space
Automated Speaking Assessment of Conversation Tests with Novel Graph-based Modeling on Spoken Response Coherence
Functional Decision Theory in an Evolutionary Environment
Compiling LATEX to computer algebra-enabled HTML5
Conditioning Large Language Models on Legal Systems? Detecting Punishable Hate Speech
5G Multimedia Massive MIMO Communications Systems
Neural FIM for learning Fisher Information Metrics from point cloud data
Weierstrass Semigroups From a Tower of Function Fields Attaining the Drinfeld-Vladut Bound
Exploring Image Generation via Mutually Exclusive Probability Spaces and Local Correlation Hypothesis
Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
A hybrid volume-surface integral equation method for rapid electromagnetic simulations in MRI
Data Protection and Corporate Reputation Management in the Digital Era
Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol Ecosystem
On the Approximability of Stationary Processes using the ARMA Model
Improved integrality gap upper bounds for TSP with distances one and two
Decision making in cancer: Causal questions require causal answers
On Randomness of Goldbach Sequences
Underwater Object Detection Enhancement via Channel Stabilization
Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network
On GitHub's Programming Languages
On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks
Exploiting Selection Bias on Underspecified Tasks in Large Language Models
Colorisation et texturation temps réel d'environnements urbains par système mobile avec scanner laser et caméra fish-eye
Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems
Exactness of quadrature formulas
Eye-gaze Guided Multi-modal Alignment Framework for Radiology
Data Multiplexing in Radio Interferometric Calibration
Import of ENZYME data into the ConceptWiki and its representation as RDF
Second weight codewords of generalized Reed-Muller codes in some cases
New Image Captioning Encoder via Semantic Visual Feature Matching for Heavy Rain Images
Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval
EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation
A Novel Bluetooth Man-In-The-Middle Attack Based On SSP using OOB Association model
Low-Rank Approximation from Communication Complexity
Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM
Single Family Algebra Operation on ZDDs Leads To Exponential Blow-Up
Deictic Codes, Demonstratives, and Reference: A Step Toward Solving the Grounding Problem
Moderation in instant runoff voting
An Implementation of the Finite Element Method in Hybrid Classical/Quantum Computers
Exploring Multi-Dimensional Events Characterizing Tech Start-Up Emergence in the Nigerian Entrepreneurial Ecosystem
SEAN-EP: A Platform for Collecting Human Feedback for Social Robot Navigation at Scale
Interface Theories for (A)synchronously Communicating Modal I/O-Transition Systems
Enhanced uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems