yusuke1997/dblp-id-title huggingface dataset:
LaPlaSS: Latent Space Planning for Stochastic Systems
EC^2: Emergent Communication for Embodied Control
Accelerating a fluvial incision and landscape evolution model with parallelism
LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editing
Attending to Future Tokens For Bidirectional Sequence Generation
Annotated Stack Trees
Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
Few-shot Classification with Shrinkage Exemplars
Upper and Lower Bounds for the Ergodic Capacity of MIMO Jacobi Fading Channels
Improving the performance of Bandwidth Efficient Acknowledgement based Multicast (BEAM) protocol in VANET for Urban environment
Comparing Properties of Massively Multiplayer Online Worlds and the Internet of Things
Assessing the true role of coauthors in the h-index measure of an author scientific impact
From Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes
Video Summarization using Keyframe Extraction and Video Skimming
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies
Principles for Evaluation of AI/ML Model Performance and Robustness
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching
Accuracy of the Uzbek stop words detection: a case study on "School corpus"
HAWQV3: Dyadic Neural Network Quantization
EasyTUS: A Comprehensive Framework for Fast and Accurate Table Union Search across Data Lakes
Convolutional encoding of 60, 64, 68, 72-bit self-dual codes
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements
Reward Models are Metrics in a Trench Coat
Multi-Objective-Optimization Multi-AUV Assisted Data Collection Framework for IoUT Based on Offline Reinforcement Learning
Resilient Infrastructure Network: Sparse Edge Change Identification via L1-Regularized Least Squares
FeatureFool: Zero-Query Fooling of Video Models via Feature Map
Massive MIMO in real propagation environments
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Optimizing Peak Age of Information in MEC Systems: Computing Preemption and Non-preemption
POLARIS: Projection-Orthogonal Least Squares for Robust and Adaptive Inversion in Diffusion Models
Comparision and analysis of photo image forgery detection techniques
Ruling Out Static Latent Homophily in Citation Networks
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Three-Way Joins on MapReduce: An Experimental Study
Causality-based Neural Network Repair
Divide et Impera: Learning impedance families for peg-in-hole assembly
Unsupervisedly Learned Representations: Should the Quest be Over?
A O(E) Time Shortest Path Algorithm For Non Negative Weighted Undirected Graphs
Exploration of carbonate aggregates in road construction using ultrasonic and artificial intelligence approaches
Automation of Trimming Die Design Inspection by Zigzag Process Between AI and CAD Domains
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics
Batched Stochastic Bandit for Nondegenerate Functions
Semantic Extraction Model Selection for IoT Devices in Edge-assisted Semantic Communications
Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis
Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning
Type-Directed Synthesis of Visualizations from Natural Language Queries
A Novel Hierarchical Co-Optimization Framework for Coordinated Task Scheduling and Power Dispatch in Computing Power Networks
Measurement-Based Parameter Identification of DC-DC Converters with Adaptive Approximate Bayesian Computation
InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding
Logit Clipping for Robust Learning against Label Noise
The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups
Learning Hyperbolic Representations for Unsupervised 3D Segmentation
Blade: A Data Center Garbage Collector
Robustness to Adversarial Attacks in Learning-Enabled Controllers
Multimodal contrastive learning for remote sensing tasks
Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
Authorized Subject Headings in the Online Automatic catalog Environment An Empirical Study on a Sample of Arabic Records
A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model
Prefix tuning for automated audio captioning
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
Rate-Independent Gradient Crystal Plasticity Theory - Robust Algorithmic Formulations based on Incremental Energy Minimization
Multilinear Discriminant Analysis using a new family of tensor-tensor products
PID Optimization Using Lagrangian Mechanics
How and Why do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles
Futility Analysis in the Cross-Validation of Machine Learning Models
Multilingual BERT language model for medical tasks: Evaluation on domain-specific adaptation and cross-linguality
A higher order nonconforming virtual element method for the Cahn-Hilliard equation
Phase Reduction and Synchronization of Coupled Noisy Oscillators
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering
An applied spatial agent-based model of administrative boundaries using SEAL
Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity
Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements
Setting Up the Beam for Human-Centered Service Tasks
Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning
Realising the Right to Data Portability for the Domestic Internet of Things
From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence
Rate-Splitting Multiple Access for Enhanced URLLC and eMBB in 6G
Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions
AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree
Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks
Visualizing data augmentation in deep speaker recognition
Simple Type Theory is not too Simple: Grothendieck's Schemes without Dependent Types
Garden-Path Traversal within GPT-2
MergePrint: Robust Fingerprinting against Merging Large Language Models
Enhancing the long-term performance of recommender system
Robust W-GAN-Based Estimation Under Wasserstein Contamination
DPL: Decoupled Prompt Learning for Vision-Language Models
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
Predicting Real-time Crash Risks during Hurricane Evacuation Using Connected Vehicle Data
From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
Network comparison and the within-ensemble graph distance
Fast Cell Discovery in mm-wave 5G Networks with Context Information
Is the P300 Speller Independent?
Optimization Based Solutions for Control and State Estimation in Non-holonomic Mobile Robots: Stability, Distributed Control, and Relative Localization
Positive Planar Satisfiability Problems under 3-Connectivity Constraints
Secure Lossy Source-Channel Wiretapping with Side Information at the Receiving Terminals
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems
Causal relationship between eWOM topics and profit of rural tourism at Japanese Roadside Stations "MICHINOEKI"
Label-Efficient Interactive Time-Series Anomaly Detection
BackTrack: Robust template update via Backward Tracking of candidate template
Redundant feature screening method for human activity recognition based on attention purification mechanism
Set Systems and Families of Permutations with Small Traces
MaskBeat: Loopable Drum Beat Generation
A fuzzy reward and punishment scheme for vehicular ad hoc networks
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging
Resilient Containment Control of Heterogeneous Multi-Agent Systems Against Unbounded Sensor and Actuator Attacks
New Method for Localization and Human Being Detection using UWB Technology: Helpful Solution for Rescue Robots
Underwater robot guidance, navigation and control in fish net pens
Hyperbolic Optimization
A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration
"Did I Say Something Wrong?" A Word-Level Analysis of Wikipedia Articles for Deletion Discussions
A Baseline Analysis for Podcast Abstractive Summarization
Efficient and effective training of language and graph neural network models
Estimating galaxy masses from kinematics of globular cluster systems: a new method based on deep learning
Duality for Several Families of Evaluation Codes
A Deep Convolutional Neural Network for the Detection of Polyps in Colonoscopy Images
Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs
Zero-delay Consistent and Smooth Trainable Interpolation
MonSter: Awakening the Mono in Stereo
The entropy power inequality for quantum systems
Max-Flow on Regular Spaces
Modification Problems toward Proper (Helly) Circular-arc Graphs
Bayesian optimization for sparse neural networks with trainable activation functions
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection
A Distributed Reinforcement Learning Solution With Knowledge Transfer Capability for A Bike Rebalancing Problem
Physics-Informed Deep Learning for Traffic State Estimation
Reactive Task and Motion Planning for Robust Whole-Body Dynamic Locomotion in Constrained Environments
A precise bare simulation approach to the minimization of some distances. Foundations
model-based script synthesis for fuzzing
Boundaries can Enhance Physical Layer Security at High Data Rates
A Robot Teleoperation Framework for Human Motion Transfer
Adaptive Threshold Sampling and Estimation
Generalized Erdos Numbers
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
MRNet: Multiple-Input Receptive Field Network for Large-Scale Point Cloud Segmentation
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
AntiDeepFake: AI for Deep Fake Speech Recognition
LLaMCAT: Optimizing Large Language Model Inference with Cache Arbitration and Throttling
DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection
Iterative Decoding of LDPC Codes over the q-ary Partial Erasure Channel
How to Discern Important Urgent News?
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage
Data Exfiltration via Multipurpose RFID Cards and Countermeasures
United States Road Accident Prediction using Random Forest Predictor
Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments
Oriented histogram-based vector field embedding for characterizing 4D CT data sets in radiotherapy
Integration of returns and decomposition of customer orders in e-commerce warehouses
GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR
Community Learning: Understanding A Community Through NLP for Positive Impact
Towards Provable Secure Neighbor Discovery in Wireless Networks
Federated Hypergradient Descent
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts
Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things
Learning Inverse Mappings with Adversarial Criterion
Binary Stochastic Filtering: feature selection and beyond
Big Data Representation as High Dimensional Configuration
Local energy estimates for the fractional Laplacian
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
Clustering - Basic concepts and methods
Effective Rate Analysis of MISO Systems over α-μ Fading Channels
What Can Spatiotemporal Characteristics of Movements in RAMIS Tell Us?
RelTriple: Learning Plausible Indoor Layouts by Integrating Relationship Triples into the Diffusion Process
A Functionally Connected Element Method for Solving Boundary Value Problems
Maximin Analysis of Message Passing Algorithms for Recovering Block Sparse Signals
Upper bounds for inverse domination in graphs
Structure-preserving finite element methods for computing dynamics of rotating Bose-Einstein condensate
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation
Model-specific Data Subsampling with Influence Functions
How to Raise a Robot - A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots
Multi-View Conformal Learning for Heterogeneous Sensor Fusion
Construction and redundancy of codes for correcting deletable errors
A meshless geometric conservation weighted least square method for solving the shallow water equations
Elsevier Arena: Human Evaluation of Chemistry/Biology/Health Foundational Large Language Models
In-memory hyperdimensional computing
Improved normal-boundary intersection algorithm: a method for energy optimization strategy in smart buildings
IPFS - Content Addressed, Versioned, P2P File System
KeNet: Knowledge-enhanced Doc-Label Attention Network for Multi-label text classification
The xmuspeech system for multi-channel multi-party meeting transcription challenge
Individual Communication Complexity
Generalize Your Face Forgery Detectors: An Insertable Adaptation Module Is All You Need
Early Stage Influenza Detection from Twitter
AI Powered Urban Green Infrastructure Assessment Through Aerial Imagery of an Industrial Township
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization
Optimistic Q-learning for average reward and episodic reinforcement learning
Font Acknowledgment and Character Extraction of Digital and Scanned Images
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs
Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnaires
Autoregressive Language Models For Estimating the Entropy of Epic EHR Audit Logs
Design and Mathematical Modelling of Inter Spike Interval of Temporal Neuromorphic Encoder for Image Recognition
Benchmarking 6DOF Urban Visual Localization in Changing Conditions
On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
Text Summarization with Latent Queries
'Negotiated Liberalization': Stakeholder Politics and Communication Sector Reform in South Africa
EMFS: Repurposing SMTP and IMAP for Data Storage and Synchronization
AI Agent-Driven Framework for Automated Product Knowledge Graph Construction in E-Commerce
AI and the Sense of Self
Visually Grounded Keyword Detection and Localisation for Low-Resource Languages
From Stability to Inconsistency: A Study of Moral Preferences in LLMs
Maximum Margin Principal Components
Large-Margin Learning of Submodular Summarization Methods
AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models
How to explain grokking
Human-AI Safety: A Descendant of Generative AI and Control Systems Safety
Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization
Analytical Solution of Covariance Evolution for Regular LDPC Codes
Testing Reactive Probabilistic Processes
CornerFormer: Boosting Corner Representation for Fine-Grained Structured Reconstruction
Challenges for an Ontology of Artificial Intelligence
Modeling of mixed-mechanism stimulation for the enhancement of geothermal reservoirs
Stochastic Low-Rank Bandits
Approximate Differential Privacy of the ℓ 2 Mechanism
Scalable Analysis for Covid-19 and Vaccine Data
Dimension Reduction for time series with Variational AutoEncoders
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
Optimal Polynomial Approximation to Rational Matrix Functions Using the Arnoldi Algorithm
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism
A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
Weakly Supervised Top-down Salient Object Detection
Mind the Gap: A Well Log Data Analysis
KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response
Noise Controlled CT Super-Resolution with Conditional Diffusion Model
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
OLIVAW: Mastering Othello with neither Humans nor a Penny
Random Linear Fountain Code with Improved Decoding Success Probability
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
Nonlinear and Linearised Primal and Dual Initial Boundary Value Problems: When are they Bounded? How are they Connected?
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-in Hybrid Electric Buses
Single-stream Policy Optimization
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
A survey on Human Computer Interaction Mechanism Using Finger Tracking
Mitigation of relative intensity noise of Quantum Dash mode-locked lasers for PAM4 based optical interconnects using encoding techniques
Artificial intelligence and cybersecurity in banking sector: opportunities and risks
A Note on Bias to Complete
MG-Skip: Random Multi-Gossip Skipping Method for Nonsmooth Distributed Optimization
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift
Co-evolutionary Dynamics of Attack and Defence in Cybersecurity
Challenges of Large Language Models for Mental Health Counseling
Trainable Adaptive Activation Function Structure (TAAFS) Enhances Neural Network Force Field Performance with Only Dozens of Additional Parameters
Estimating Lower Body Kinematics using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey
The entropy rate of a binary channel with slowly switching input
Adaptive Influence Maximization under General Feedback Models
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Non-Identical Diffusion Models in MIMO-OFDM Channel Generation
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation
PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution
Using Quantifier Elimination to Enhance the Safety Assurance of Deep Neural Networks
Beamspace Channel Estimation in mmWave Systems via Cosparse Image Reconstruction Technique
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking
MLHOps: Machine Learning for Healthcare Operations
ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity
MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction
MIMONet: Multi-Input Multi-Output On-Device Deep Learning
Multiresolution Search of the Rigid Motion Space for Intensity Based Registration
Self-calibrating Neural Networks for Dimensionality Reduction
A Low-Cost, High-Speed, and Robust Bin Picking System for Factory Automation Enabled by a Non-Stop, Multi-View, and Active Vision Scheme
Infinite horizon for symetric strategy population game
A Multilayer Model of Computer Networks
TGGLinesPlus: A robust topological graph-guided computer vision algorithm for line detection from images
Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation
Improved dependency management for issue trackers in large collaborative projects
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding
FocalComm: Hard Instance-Aware Multi-Agent Perception
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes
A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms
Hearing Loss Detection from Facial Expressions in One-on-one Conversations
Frenet-Serret-Based Trajectory Prediction
Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy
Dynamic Graph Representation Learning with Neural Networks: A Survey
Recursively Undecidable Properties of NP
The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception
Interpretable contrastive word mover's embedding
Deontic Action Logics: A Modular Algebraic Perspective
Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications
Taking Linear Logic Apart
A Graph Engine for Guitar Chord-Tone Soloing Education
Quasi-Random Discrete Ordinates Method for Transport Problems
Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration
Power System Differential-Algebraic Equations
Physics Informed Token Transformer
Convex optimization over a probability simplex
Reducing the complexity of computing the values of a Nash equilibrium
Utilitarian Guarantees for the Method of Equal Shares
Plasma Cash: Towards more efficient Plasma constructions
Operads for complex system design specification, analysis and synthesis
A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers
ITLingo Research Initiative in 2022
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
A framework for quantum homomorphic encryption with experimental demonstration
Convolutional Signature for Sequential Data
Large Language Models for Multi-Choice Question Classification of Medical Subjects
Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers
Representation Tuning
A virtual element method on polyhedral meshes for the sixth-order elliptic problem
Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example
Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks
A Multi-Tier Wireless Spectrum Sharing System Leveraging Secure Spectrum Auctions
The stability of the multivariate geometric Brownian motion as a bilinear matrix inequality problem
Comparison of different nonlinear solvers for 2D time-implicit stellar hydrodynamics
CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks
Brain Responses During Robot-Error Observation
A Deep Learning framework for building damage assessment using VHR SAR and geospatial data: demonstration on the 2023 Turkiye Earthquake