yusuke1997/dblp-id-title huggingface dataset:
Representation Learning for Point Cloud Understanding
An Effective Deep Learning Based Multi-Class Classification of DoS and DDoS Attack Detection
Stratified regression Monte-Carlo scheme for semilinear PDEs and BSDEs with large scale parallelization on GPUs
Baidu Apollo EM Motion Planner
Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters
Retrieval Augmentation to Improve Robustness and Interpretability of Deep Neural Networks
Memory Transformer
Deep Riemannian Networks for EEG Decoding
Semirings for temporal network analysis
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image
Ransomware Detection Using Federated Learning with Imbalanced Datasets
An implemented model of punning riddles
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning
Development and Application of a Decentralized Domain Name Service
Probabilistic Perron's method and verification without smoothness using viscosity comparison: the linear case
From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding
Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
Lists of Top Artists to Watch computed algorithmically
The Geometry of Tokens in Internal Representations of Large Language Models
A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images
Neural Data Augmentation via Example Extrapolation
Restarts subject to approximate sharpness: A parameter-free and optimal scheme for first-order methods
Two-Manifold Problems with Applications to Nonlinear System Identification
Advances in Bandits with Knapsacks
Adapting the DMTCP Plugin Model for Checkpointing of Hardware Emulation
Accomplish the Application Area in Cloud Computing
Reversible Logic Elements with Memory and Their Universality
Relationship between Uncertainty in DNNs and Adversarial Attacks
Cross-Gramian Based Combined State and Parameter Reduction
Electric Vehicle Charge Scheduling on Highway Networks from an Aggregate Cost Perspective
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model
A Miniature Biological Eagle-Eye Vision System for Small Target Detection
Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms
Conjunction Data Messages behave as a Poisson Process
Modeling and Detection of Future Cyber-Enabled DSM Data Attacks using Supervised Learning
Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
The YouTube-8M Kaggle Competition: Challenges and Methods
Towards causal benchmarking of bias in face analysis algorithms
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms
Architecture-Aware Minimization (A 2 M): How to Find Flat Minima in Neural Architecture Search
Large Language Model-based Nonnegative Matrix Factorization For Cardiorespiratory Sound Separation
Leveraging Well-Conditioned Bases: Streaming \& Distributed Summaries in Minkowski p-Norms
Towards a characterization of stretchable aligned graphs
Simulation-based inference with the Python Package sbijax
Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation
Toward Cross-Layer Energy Optimizations in Machine Learning Systems
YGGDRASIL - A Statistical Package for Learning Split Models
Analysis of MiniJava Programs via Translation to ML
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation
Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?
LLM Agents Beyond Utility: An Open-Ended Perspective
CoAPI: An Efficient Two-Phase Algorithm Using Core-Guided Over-Approximate Cover for Prime Compilation of Non-Clausal Formulae
Scientific Impact of Graph-Based Approaches in Deep Learning Studies - A Bibliometric Comparison
Mind the Gap: Entity-Preserved Context-Aware ASR Structured Transcriptions
Scaling Truth: The Confidence Paradox in AI Fact-Checking
Extended Formulations for Online Linear Bandit Optimization
Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids
Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings
Multilingual textual data: an approach through multiple factor analysis
Four Formal Models of IEEE 1394 Link Layer
Real-Time Trash Detection for Modern Societies using CCTV to Identifying Trash by utilizing Deep Convolutional Neural Network
Faster Algorithms for RNA-folding using the Four-Russians method
Preventing the Generation of Inconsistent Sets of Classification Rules
Separating Geometric Data with Minimum Cost: Two Disjoint Convex Hulls
Weakly displaying trees in temporal tree-child network
TIDE: Two-Stage Inverse Degradation Estimation with Guided Prior Disentanglement for Underwater Image Restoration
The Importance of Accurate Alignments in End-to-End Speech Synthesis
A quantitative Robbins-Siegmund theorem
A quantitative approach to evolution of music and philosophy
Novel sparse matrix algorithm expands the feasible size of a self-organizing map of the knowledge indexed by a database of peer-reviewed medical literature
Feature Generation for Robust Semantic Role Labeling
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models
Computing the Scope of Applicability for Acquired Task Knowledge in Experience-Based Planning Domains
Development and Deployment of Fixed Wireless Access in South West Nigeria: Performance and Evaluation
A risk profile for information fusion algorithms
CBIM: object-level cloud collaboration platform for supporting across-domain asynchronous design
Decision problems on unary probabilistic and quantum automata
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory
Performance Analysis of Large Intelligent Surfaces (LISs): Uplink Spectral Efficiency and Pilot Training
Nonlinear Markov Processes in Big Networks
Text Information Aggregation with Centrality Attention
Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm for Observation of Accuracies for Various Hidden Layers
Entity Image and Mixed-Modal Image Retrieval Datasets
Decentralizing Test-time Adaptation under Heterogeneous Data Streams
Role-Augmented Intent-Driven Generative Search Engine Optimization
PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling
Characterizing the process of reaching consensus for social systems
Robustness and Contagion in the International Financial Network
Carbon Per Transistor (CPT): The Golden Formula for Green Computing Metrics
FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning
Stochastic recursive inclusions with two timescales
Multiple Word Embeddings for Increased Diversity of Representation
IMACT-CXR - An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretation
Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem
SEAGraph: Unveiling the Whole Story of Paper Review Comments
A Survey of PPAD-Completeness for Computing Nash Equilibria
Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity
Symbolic Representation of Algorithmic Game Semantics
Analysis of Urban Visitor's Walkability Based On Mobile Data: The Case of Daejeon, Korea
Konzepte zur Effizienzsteigerung von Traktionsmotoren in batterieelektrischen Fahrzeugen durch den Einsatz neuartiger teillastoptimierbarer Motor- und Invertertopologien
On testing uni-connectivity in directed graphs and some related problems
Malicious User Detection in Spectrum Sensing for WRAN Using Different Outliers Detection Techniques
Digital Player: Evaluating Large Language Models based Human-like Agent in Games
Mean Field Games of Controls: Finite Difference Approximations
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC
Testing Global Constraints
Virtual Interviewers, Real Results: Exploring AI-Driven Mock Technical Interviews on Student Readiness and Confidence
Pipelined Dense Symmetric Eigenvalue Decomposition on Multi-GPU Architectures
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff
Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding
Query Focused Multi-Document Summarization with Distant Supervision
In-Context Iterative Policy Improvement for Dynamic Manipulation
DAG it off: Latency Prefers No Common Coins
MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement
Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement
A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets
Zero-Shot Belief: A Hard Problem for LLMs
Molecular Transformer for Chemical Reaction Prediction and Uncertainty Estimation
Equivalent Distance Geometry Error for Molecular Conformation Comparison
Towards Clinical AI Fairness: Filling Gaps in the Puzzle
PALE: Partially Asynchronous Agile Leader Election
Object-Oriented Intensional Programming: Intensional Classes Using Java and Lucid
Enumeration of Row-Column Designs
Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks
M 3 T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild
CountZES: Counting via Zero-Shot Exemplar Selection
Stochastic quantization with Weighted distribution in discrete time for Filtering and Control
A Zero-Shot Learning application in Deep Drawing process using Hyper-Process Model
Primal-dual weak Galerkin finite element methods for linear convection equations in non-divergence form
Machine Psychology: Integrating Operant Conditioning with the Non-Axiomatic Reasoning System for Advancing Artificial General Intelligence Research
Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia
Throughput analysis in networks of WLANs
Robust Q-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty
Low-degree lower bounds via almost orthonormal bases
Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling
On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation
A Sequence of Relaxations Constraining Hidden Variable Models
Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)
Software Engineering for Serverless Computing
Impacts of Weather Conditions on District Heat System
Physics-based Shading Reconstruction for Intrinsic Image Decomposition
Federated Unlearning via Active Forgetting
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models
Sample-Efficient Policy Constraint Offline Deep Reinforcement Learning based on Sample Filtering
Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions
A Stable Explicit Scheme for Solving Non-Homogeneous Constant Coefficients Equation using Green's Function
Teaching Result Analysis Using Rough Sets and Data Mining
Opponent Shaping for Antibody Development
The thermodynamic temperature of a rhythmic spiking network
Where to Begin: Efficient Pretraining via Subnetwork Selection and Distillation
PEtra: A Flexible and Open-Source PE Loop Tracer for Polymer Thin-Film Transducers
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System
CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcare
Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool
Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond
Controllable risk scenario generation from human crash data for autonomous vehicle testing
How to design a network architecture using availability
QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification
Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios
Mobile Location Update using Distance Method
A classification of S-boxes generated by Orthogonal Cellular Automata
Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
A Model-driven Approach for Grid Services Engineering
The Effect of Pets on Happiness: A Large-scale Multi-Factor Analysis using Social Multimedia
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
A New Analysis for Support Recovery with Block Orthogonal Matching Pursuit
Characterizing and Finding the Pareto Optimal Equitable Allocation of Homogeneous Divisible Goods Among Three Players
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
A Novel Architecture for Antenna Arrangement in Wireless Cellular CDMA Systems
CIFAR-10 Image Classification Using Feature Ensembles
Universal Adversarial Examples and Perturbations for Quantum Classifiers
SoS Fault Modelling at the Architectural Level in an Emergency Response Case Study
Self-reinforcing Unsupervised Matching
Fractional Laplacian - Quadrature rules for singular double integrals in 3D
COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval
Phase retrieval with a multivariate Von Mises prior: from a Bayesian formulation to a lifting solution
Enhancing the Vertical Mobility of a Robot Hexapod Using Microspines
Compressive Subspace Learning with Antenna Cross-correlations for Wideband Spectrum Sensing
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?
Machine learning models and facial regions videos for estimating heart rate: a review on Patents, Datasets and Literature
Accurate computation of Galerkin double surface integrals in the 3-D boundary element method
Representation gaps of rigid planar diagram monoids
Torsion Resistant Strain Limiting Layers Enable High Grip Strength of Electrically-Driven Handed Shearing Auxetic Grippers
Constructing Forest Biomass Prediction Maps from Radar Backscatter by Sequential Regression with a Conditional Generative Adversarial Network
Criteria for assessing grant applications: A systematic review
Ulam Sphere Size Analysis for Permutation and Multipermutation Codes Correcting Translocation Errors
Amplifying the Kinematics of Origami Mechanisms With Spring Joints
Basilic: Resilient Optimal Consensus Protocols With Benign and Deceitful Faults
JointMotion: Joint Self-supervision for Joint Motion Prediction
SQLaser: Detecting DBMS Logic Bugs with Clause-Guided Fuzzing
From symmetry break to Poisson point process in 2D Voronoi tessellations: the generic nature of hexagons
Cyclic dominance in evolutionary games: A review
Opinion Dynamics in Two-Step Process: Message Sources, Opinion Leaders and Normal Agents
A Framework for Learning and Reusing Robotic Skills
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows
Intergenerational Preferences and Continuity: Reconciling Order and Topology
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks and Analysis
TUBERAIDER: Attributing Coordinated Hate Attacks on YouTube Videos to their Source Communities
Generative downscaling of PDE solvers with physics-guided diffusion models
Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems
Invariant Representations of Embedded Simplicial Complexes
A Multi-Gene Genetic Programming Application for Predicting Students Failure at School
Introduction of Intellectual Property Courses in STEM Curriculum
Liouville PDE-based sliced-Wasserstein flow for fair regression
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training
Is 'Hope' a person or an idea? A pilot benchmark for NER: comparing traditional NLP tools and large language models on ambiguous entities
Real-time Quadrotor Navigation Through Planning in Depth Space in Unstructured Environments
AI and Core Electoral Processes: Mapping the Horizons
Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images
Iterative Prompt Relabeling for diffusion model with RLDF
Phase diagram of matrix compressed sensing
Quantifying Uncertainty in Risk Assessment using Fuzzy Theory
When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities
A New Kind of Hopfield Networks for Finding Global Optimum
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology
Vision-Based Terrain Relative Navigation on High-Altitude Balloon and Sub-Orbital Rocket
DeepQMLP: A Scalable Quantum-Classical Hybrid DeepNeural Network Architecture for Classification
Finite element interpolated neural networks for solving forward and inverse problems
Emulation of Complex Matrix Multiplication based on the Chinese Remainder Theorem
Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving
A Framework of Landsat-8 Band Selection based on UMDA for Deforestation Detection
Edge-Disjoint Node-Independent Spanning Trees in Dense Gaussian Networks
On the convergence of FOCUSS algorithm for sparse representation
Case-Based Decision-Theoretic Decoding with Quality Memories
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Excitable crawling
The automatic detection of the information operations event basis
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy
Enumeration of linear codes with different hulls
Multi-scenario deep learning for multi-speaker source separation
Practical Analysis of Codebook Design and Frequency Offset Estimation for Virtual-MIMO Systems
DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning
Adam: Dense Retrieval Distillation with Adaptive Dark Examples
Dual UAV Cluster-Assisted Maritime Physical Layer Secure Communications via Collaborative Beamforming
Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data
Constrained-Context Conditional Diffusion Models for Imitation Learning
Diffusion L0-norm constraint improved proportionate LMS algorithm for sparse distributed estimation
On Axiomatization of Lewis' Conditional Logics
FootFormer: Estimating Stability from Visual Input
Unsupervised Learning and Segmentation of Complex Activities from Video
A Deep, Information-theoretic Framework for Robust Biometric Recognition
How To Cook The Fragmented Rug Pull?
HIVMedQA: Benchmarking large language models for HIV medical decision support
Asymptotic structure of cosmological Burgers flows in one and two space dimensions: a numerical study
On Designing Multi-UAV aided Wireless Powered Dynamic Communication via Hierarchical Deep Reinforcement Learning
Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions
Arrival Control in Quasi-Reversible Queueing Systems: Optimization and Reinforcement Learning
Safer Traffic Recovery from the Pandemic in London - Spatiotemporal Data Mining of Car Crashes
eDisco: Discovering Edge Nodes Along the Path
Who Gets Cited Most? Benchmarking Long-Context Language Models on Scientific Articles
Link Based Session Reconstruction: Finding All Maximal Paths
Object Concepts Emerge from Motion
ProUM: Projection-based Utility Mining on Sequence Data
Thou Shalt is not You Will
Exploration of Evolving Quantum Key Distribution Network Architecture Using Model-Based Systems Engineering
AipanVR: A Virtual Reality Experience for Preserving Uttarakhand's Traditional Art Form
COVID-19 Epidemic Study II: Phased Emergence From the Lockdown in Mumbai
Fairer LP-based Online Allocation
Group Interventions on Deep Networks for Causal Discovery in Subsystems
Exploiting Sublanguage and Domain Characteristics in a Bootstrapping Approach to Lexicon and Ontology Creation
The Differentiation Between MIMO With Other Antennas
A national-scale cross-time analysis of university research performance
Aperiodic two-layer energy management system for community microgrids based on blockchain strategy
Visualizing Convolutional Neural Network Protein-Ligand Scoring
Iterated Ontology Revision by Reinterpretation
Polymorphic Higher-order Termination
Streamlined Data Fusion: Unleashing the Power of Linear Combination with Minimal Relevance Judgments
An Exterior-Embedding Neural Operator Framework for Preserving Conservation Laws
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition
Regression-based Monte Carlo Integration
The Scientific Prize Network Predicts Who Pushes the Boundaries of Science
Evaluating Conversational Recommender Systems
Progressively-connected Light Field Network for Efficient View Synthesis
A Deep Generative Framework for Joint Households and Individuals Population Synthesis
VisualEchoes: Spatial Image Representation Learning through Echolocation
Characterising Bias in Compressed Models
Canonical Consolidation Fields: Reconstructing Dynamic Shapes from Point Clouds
Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging
Deal: Distributed End-to-End GNN Inference for All Nodes
lamBERT: Language and Action Learning Using Multimodal BERT
MALOnt: An Ontology for Malware Threat Intelligence
Some application examples of minimization based formulations of inverse problems and their regularization
Rack-aware minimum-storage regenerating codes with optimal access
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading
A Compositional Treatment of Iterated Open Games
MAGIX: Model Agnostic Globally Interpretable Explanations
Project MPG: towards a generalized performance benchmark for LLM capabilities
How Facial Features Convey Attention in Stationary Environments
STN-Homography: estimate homography parameters directly
Organizing Encyclopedic Knowledge based on the Web and its Application to Question Answering
Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models
4-Doodle: Text to 3D Sketches that Move!
CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations
Background Prompt for Few-Shot Out-of-Distribution Detection
SimDETR: Simplifying self-supervised pretraining for DETR
CITS: Coherent Ising Tree Search Algorithm Towards Solving Combinatorial Optimization Problems
Regularization by architecture: A deep prior approach for inverse problems
Beyond static AI evaluations: advancing human interaction evaluations for LLM harms and risks