yusuke1997/dblp-id-title huggingface dataset:
Weighted Random Cut Forest Algorithm for Anomaly Detections
Optimal Oblivious Algorithms for Multi-way Joins
Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning
Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples
Toward Game Level Generation from Gameplay Videos
On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling
Semantic Communication with Adaptive Universal Transformer
An AI-Based Behavioral Health Safety Filter and Dataset for Identifying Mental Health Crises in Text-Based Conversations
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
Chemlambda, universality and self-multiplication
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques
Algebraic power series and their automatic complexity II: modulo prime powers
Projector Pixel Redirection Using Phase-Only Spatial Light Modulator
Non-local Patch-based Low-rank Tensor Ring Completion for Visual Data
An Intrusion Detection Mechanism for MANETs Based on Deep Learning Artificial Neural Networks (ANNs)
A Theoretical Analysis Of Nearest Neighbor Search On Approximate Near Neighbor Graph
Equilibrium Moment Analysis of Itô SDEs
Will it Crease or Cease? A study of Debulking of Air Pockets in Automated Prepreg Composite Layup
Incidents Are Meant for Learning, Not Repeating: Sharing Knowledge About Security Incidents in Cyber-Physical Systems
Action Chunking with Transformers for Image-Based Spacecraft Guidance and Control
Extracting individual variable information for their decoupling, direct mutual information and multi-feature Granger causality
Developing of a photonic hardware platform for brain-inspired computing based on 5×5 VCSEL arrays
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Spectral Clustering and Block Models: A Review And A New Algorithm
Decomposed Object Manipulation via Dual-Actor Policy
From Accidents to Insights: Leveraging Multimodal Data for Scenario-Driven ADS Testing
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D
Geomagnetic Survey Interpolation with the Machine Learning Approach
New Generation Value Networks for Content Delivery
Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training
Forty hours of declarative programming: Teaching Prolog at the Junior College Utrecht
Gossip on Weighted Networks
Enhancing Reliability across Short and Long-Form QA via Reinforcement Learning
Spectral approximation of ψ-fractional differential equation based on mapped Jacobi functions
A Mathematical Framework for Learning Probability Distributions
State Estimation of Open Dynamical Systems with Slow Inputs: Entropy, Bit Rates, and relation with Switched Systems
An Algorithm for Limited Visibility Graph Searching
Ensembling object detectors for image and video data analysis
Measurement Tampering Detection Benchmark
Computing the Testing Error without a Testing Set
MicroRicci: A Greedy and Local Ricci Flow Solver for Self-Tuning Mesh Smoothing
Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets
Clustered Cell-Free Multi-User MIMO Systems with Rate-Splitting
Tight Dimension Independent Lower Bound on Optimal Expected Convergence Rate for Diminishing Step Sizes in SGD
Towards Better Optimization For Listwise Preference in Diffusion Models
A Full Frequency Masking Vocoder for Legal Eavesdropping Conversation Recording
Effect of Adaptive and Cooperative Adaptive Cruise Control on Throughput of Signalized Arterials
Computing Diameter+2 in Truly Subquadratic Time for Unit-Disk Graphs
Decoupled Alignment for Robust Plug-and-Play Adaptation
Fast computing of velocity field for flows in industrial burners and pumps
The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals
Declutter and Resample: Towards parameter free denoising
Closed-loop control of seizure activity via real-time seizure forecasting by reservoir neuromorphic computing
Comprehensive language-image pre-training for 3D medical image understanding
Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Views
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning
Approximate the k-Set Packing Problem by Local Improvements
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
Solve sparse PCA problem by employing Hamiltonian system and leapfrog method
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs
CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation
Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks
I'm Hearing (Different) Voices: Anonymous Voices to Protect User Privacy
Fast cooling for a system of stochastic oscillators
Masakhane - Machine Translation For Africa
How Real is Real: Evaluating the Robustness of Real-World Super Resolution
Adaptive mixture approximation for target tracking in clutter
Frequency-domain Compressive Channel Estimation for Frequency-Selective Hybrid mmWave MIMO Systems
Massively Deep Artificial Neural Networks for Handwritten Digit Recognition
Pascal-Weighted Genetic Algorithms: A Binomially-Structured Recombination Framework
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
A Case Study on the Effectiveness of LLMs in Verification with Proof Assistants
Problems with the use of Web search engines to find results in foreign languages
Autonomic Model for Self-Configuring C#.NET Applications
An Innovative Attack Modelling and Attack Detection Approach for a Waiting Time-based Adaptive Traffic Signal Controller
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
A General O(n 2 ) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM
Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation
Maximally Extendable Sheaf Codes
An Efficient Approach for Generalized Load Balancing in Multipath Packet Switched Networks
Diversity of Low-Density Lattices
Resilience from Diversity: Population-based approach to harden models against adversarial attacks
A Fast and Scalable Computational Topology Framework for the Euler Characteristic
A polynomial-time heuristic for Circuit-SAT
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
Learning rich optical embeddings for privacy-preserving lensless image classification
Building a visual semantics aware object hierarchy
Approximating Acceptance Probabilities of CTMC-Paths on Multi-Clock Deterministic Timed Automata
Adaptive Numerical Simulation of a Phase-field Fracture Model in Mixed Form tested on an L-shaped Specimen with High Poisson Ratios
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification
Communication-Efficient Federated Learning via Robust Distributed Mean Estimation
ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things
Toward Dynamic Control of Tendon-Driven Continuum Robots using Clarke Transform
On the ability of monolingual models to learn language-agnostic representations
LAESI: Leaf Area Estimation with Synthetic Imagery
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model
FLNeRF: 3D Facial Landmarks Estimation in Neural Radiance Fields
Mobility-based Traffic Forecasting in a Multimodal Transport System
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Pre 3 : Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns
Estimating Information Flow in Neural Networks
LITE: LLM-Impelled efficient Taxonomy Evaluation
Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification
Late-Binding Scholarship in the Age of AI: Navigating Legal and Normative Challenges of a New Form of Knowledge Production
Towards Agent-based Models of Rumours in Organizations: A Social Practice Theory Approach
Invariant and Dual Invariant Subspaces of $k$-valued Networks
Phenotype Detection in Real World Data via Online MixEHR Algorithm
Understanding Characteristics of Commodity Serverless Computing Platforms
A Review of Designs and Applications of Echo State Networks
AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection
A RISC-V Multicore and GPU SoC Platform with a Qualifiable Software Stack for Safety Critical Systems
Characterizing AI-Generated Misinformation on Social Media
Zero Shot Learning on Simulated Robots
Deep Point Cloud Normal Estimation via Triplet Learning
On data recovery with restraints on the spectrum range and the process range
Interpreting Convolutional Neural Networks Through Compression
Hot or not? Forecasting cellular network hot spots using sector performance indicators
OraPO: Oracle-educated Reinforcement Learning for Data-efficient and Factual Radiology Report Generation
Pushing the limits of cell segmentation models for imaging mass cytometry
On the Derivation of Weights from Incomplete Pairwise Comparisons Matrices via Spanning Trees with Crisp and Fuzzy Confidence Levels
Caching under Content Freshness Constraints
Fragment-synthesis-based multiparty cryptographic key distribution over a public network
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation
Bayesian learning of the optimal action-value function in a Markov decision process
Temporal Action Localization with Variance-Aware Networks
KASportsFormer: Kinematic Anatomy Enhanced Transformer for 3D Human Pose Estimation on Short Sports Scene Video
Bennett and Stinespring, Together at Last
Towards Unified Structured Light Optimization
Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment
An Arithmetic Analogue of Fox's Triangle Removal Argument
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods
High-Degree Splines from Discrete Fourier Transforms: Robust Methods to Obtain the Boundary Conditions
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
Groups, Graphs, Languages, Automata, Games and Second-order Monadic Logic
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks
On the Consistency of k-means++ algorithm
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
On the efficiency of explicit and semi-explicit immersed boundary finite element methods for wave propagation problems
Education for All: Remote testing system with gesture recognition and recording
Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks
Do Vision-Language Pretrained Models Learn Primitive Concepts?
Crowd management, crime detection, work monitoring using aiml
On the real Davies' conjecture
On the joint spectral radius
Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing
Epidemic spreading driven by biased random walks
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design
PST-Bench: Tracing and Benchmarking the Source of Publications
Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning
A Hitchhiker's Guide to Search-Based Software Engineering for Software Product Lines
Station-keeping of L 2 halo orbits under sampled-data model predictive control
Local Distributed Verification
The Opportunity to Regulate Cybersecurity in the EU (and the World): Recommendations for the Cybersecurity Resilience Act
Optimized LTE Data Transmission Procedures for IoT: Device Side Energy Consumption Analysis
Stabilising priors for robust Bayesian deep learning
Discontinuous Grammar as a Foreign Language
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration
Cyber Knowledge Completion Using Large Language Models
An initial-boundary value problem describing moisture transport in porous media: existence of strong solutions and an error estimate for a finite volume scheme
Detection and suppression of epileptiform seizures via model-free control and derivatives in a noisy environment
Quantum computation and real multiplication
Local Model Explanations and Uncertainty Without Model Access
Neuroflight: Next Generation Flight Control Firmware
MM-UAVBench: How Well Do Multimodal Large Language Models See, Think, and Plan in Low-Altitude UAV Scenarios?
Extracting Spooky-activation-at-a-distance from Considerations of Entanglement
Domain-Specific Priors and Meta Learning for Low-shot First-Person Action Recognition
Knowledge Distillation for Federated Learning: a Practical Guide
Robust 2D/3D Vehicle Parsing in CVIS
Simple and Effective Distributed Computing with a Scheduling Service
Deep Neural Networks for Rotation-Invariance Approximation and Learning
Explicit Space-Time Codes Achieving The Diversity-Multiplexing Gain Tradeoff
Object-Centric Multi-View Aggregation
Perturbation analysis of a class of composite optimization problems
Weighted Aggregation of Conformity Scores for Classification
Cooperation and Fairness in Multi-Agent Reinforcement Learning
Visualizing Data using GTSNE
Supervised Feature Selection via Dependence Estimation
Logical Consistency of Large Language Models in Fact-checking
SAP: Syntactic Attention Pruning for Transformer-based Language Models
Weighted Maximum Entropy Inverse Reinforcement Learning
Concise Reasoning in the Lens of Lagrangian Optimization
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation
Smoothed Analysis of Order Types
Data Science Principles for Interpretable and Explainable AI
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning
Decoding and Computing Algorithms for Linear Superposition LDPC Coded Systems
Minimum-Link Paths Revisited
Contrastive Learning-based Multi Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs
Pseudovarieties of semigroups
Cross-lingual Word Embeddings in Hyperbolic Space
Multi-sensorial interaction with a nano-scale phenomenon : the force curve
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Variability of research performance across disciplines within universities in non-competitive higher education systems
Improving Robustness of AlphaZero Algorithms to Test-Time Environment Changes
Centralized and Decentralized Non-Cooperative Load-Balancing Games among Competing Cloudlets
Cross-domain User Preference Learning for Cold-start Recommendation
Loop series for discrete statistical models on graphs
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition
KVCompose: Efficient Structured KV Cache Compression with Composite Tokens
Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling
Curricular Complexity Versus Quality of Computer Science Programs
Locating Information in Large Language Models via Random Matrix Theory
Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning
Towards Robust Deep Reinforcement Learning against Environmental State Perturbation
Machine Learning-based Variability Handling in IoT Agents
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs
Exploring Perceptual Limitation of Multimodal Large Language Models
The perils of being unhinged: On the accuracy of classifiers minimizing a noise-robust convex loss
Message-Passing Protocols for Real-World Parsing - An Object-Oriented Model and its Preliminary Evaluation
Prompt-In-Prompt Learning for Universal Image Restoration
Learning Multiple Levels of Representations with Kernel Machines
Probabilistic programs for inferring the goals of autonomous agents
On Blockers and Transversals of Maximum Independent Sets in Co-Comparability Graphs
The Adaptive Workplace: Orchestrating Architectural Services around the Wellbeing of Individual Occupants
Conversational Intent Understanding for Passengers in Autonomous Vehicles
Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach
A Mobile Robotic Personal Nightstand with Integrated Perceptual Processes
Riemannian gradient descent for spherical area-preserving mappings
Intelligent Perception System for Vehicle-Road Cooperation
Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI
Efficient Model Compression Techniques with FishLeg
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge
On Reconfiguration Graph of Independent Sets under Token Sliding
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics
Approximation of Capacity for ISI Channels with One-bit Output Quantization
A bad 2-dimensional instance for k-means++
Iterative Data Refinement for Self-Supervised MR Image Reconstruction
DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain
Phantom: Training Robots Without Robots Using Only Human Videos
A New Proposed Dynamic Quantum with Re-Adjusted Round Robin Scheduling Algorithm and Its Performance Analysis
InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models
Chameleons on Cloudlets: Elastic Edge Computing Through Microservice Variants
Reinforcement Learning for Photonic Component Design
Recovery of transversely-isotropic elastic material parameters in induction motor rotors
A Python Tool for Reconstructing Full News Text from GDELT
Learning the Universe: Learning to Optimize Cosmic Initial Conditions with Non-Differentiable Structure Formation Models
SETBVE: Quality-Diversity Driven Exploration of Software Boundary Behaviors
GAL: A Global-Attributes Assisted Labeling System for Outdoor Scenes
A DeterministicWorst-Case Message Complexity Optimal Solution for Resource Discovery
Projection Methods for Operator Learning and Universal Approximation
Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
Relative Expressiveness of Defeasible Logics
Quantum key distribution over a 72 dB channel loss using ultralow dark count superconducting single-photon detectors
Attention, Please! Revisiting Attentive Probing for Masked Image Modeling
Distributed Interior Point Methods for Optimization in Energy Networks
Secure Ad-hoc Routing Scheme
Large Margin Discriminative Loss for Classification
Towards Native Generative Model for 3D Head Avatar
Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology
Low-rank Multi-view Clustering in Third-Order Tensor Space
Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
Stability Analysis of a B-Spline Deep Neural Operator for Nonlinear Systems
Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing
ShaRE your Data! Characterizing Datasets for LLM-based Requirements Engineering
Privacy-Preserving XGBoost Inference
Limitation of multi-resolution methods in community detection
A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation
A new benchmark set for Traveling salesman problem and Hamiltonian cycle problem
Formulation Comparison for Timeline Construction using LLMs
Ultimatum game: regret or fairness?
Agile-SD: A Linux-based TCP Congestion Control Algorithm for Supporting High-speed and Short-distance Networks
Fast Bayesian Force Fields from Active Learning: Study of Inter-Dimensional Transformation of Stanene
Optimal User Loading in Massive MIMO Systems with Regularized Zero Forcing Precoding
Monaural Multi-Talker Speech Recognition using Factorial Speech Processing Models
Evolution of NOMA Toward Next Generation Multiple Access (NGMA)
Deep Linear Discriminant Analysis
Securing Speech in GSM Networks using DES with Random Permutation and Inversion Algorithm
LAVA: Language Model Assisted Verbal Autopsy for Cause-of-Death Determination
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks
A General Model for Robust Tensor Factorization with Unknown Noise
An efficient pipeline to compute patient-specific cerebral aneurysm wall tension
Reachability In Simple Neural Networks
Tur[k]ingBench: A Challenge Benchmark for Web Agents
Mathematical analysis and numerical comparison of energy-conservative schemes for the Zakharov equations
Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI
Best-scored Random Forest Classification
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information
Towards Lightweight Error Detection Schemes for Implementations of MixColumns in Lightweight Cryptography
On the Achievability of Interference Alignment for Three-Cell Multi-User MIMO Cellular Networks
Network architecture search of X-ray based scientific applications
The asymptotical error of broadcast gossip averaging algorithms
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
Causally Constrained Data Synthesis for Private Data Release
Cross-modal Deep Metric Learning with Multi-task Regularization
Adversarial Balancing for Causal Inference
A Low-rank Spline Approximation of Planar Domains
PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision-Language Models
Using Software-Defined Networking for Ransomware Mitigation: the Case of CryptoWall
Tensor Ring Decomposition
EveryDayVLA: A Vision-Language-Action Model for Affordable Robotic Manipulation
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
CoHRT: A Collaboration System for Human-Robot Teamwork
Recursive PGFs for BSTs and DSTs
LP approximations to mixed-integer polynomial optimization problems
WM-INS: A Wheel Mounted IMU Based Integrated Navigation System for Wheeled Robots
Thermodynamic characterization of networks using graph polynomials
Optimizing Speech Language Models for Acoustic Consistency
Modified Singly-Runge-Kutta-TASE methods for the numerical solution of stiff differential equations
Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning
PVTv2: Improved Baselines with Pyramid Vision Transformer
A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation
Feature Selection for Better Spectral Characterization or: How I Learned to Start Worrying and Love Ensembles
ContrastDiagnosis: Enhancing Interpretability in Lung Nodule Diagnosis Using Contrastive Learning
Deploying Crowdsourcing for Workflow Driven Business Process
Sparsity-Constrained Games and Distributed Optimization with Applications to Wide-Area Control of Power Systems
Sustaining Cyber Awareness: The Long-Term Impact of Continuous Phishing Training and Emotional Triggers