yusuke1997/dblp-id-title huggingface dataset:
ALPACA - Adaptive Learning Pipeline for Comprehensive AI
SE-Sync: A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group
Hybrid Fuzzy-Linear Programming Approach for Multi Criteria Decision Making Problems
Scalable K-Medoids via True Error Bound and Familywise Bandits
The map equation for link community
A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset
The Insecurity of Home Digital Voice Assistants - Amazon Alexa as a Case Study
Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning
Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM
Towards radio astronomical imaging using an arbitrary basis
$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search
Sample Complexity of Learning Mixtures of Sparse Linear Regressions
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning
Efficient Channel-Hopping Rendezvous Algorithm Based on Available Channel Set
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training
Cross-Domain Collaborative Filtering via Translation-based Learning
Learning and Planning in Feature Deception Games
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
The broader spectrum of in-context learning
THIR: Topological Histopathological Image Retrieval
Diff 2 I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior
Controlling identical linear multi-agent systems over directed graphs
A Class of Exponential Sequences with Shift-Invariant Discriminators
SQuARE: Structured Query & Adaptive Retrieval Engine For Tabular Formats
Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies
Axodraw Version 2
Improving Entity Resolution with Global Constraints
Log-concavity of the independence polynomials of W p graphs
Toward Humanoid Brain-Body Co-design: Joint Optimization of Control and Morphology for Fall Recovery
Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer
ContentFlow: Mapping Content to Flows in Software Defined Networks
Conflict Adaptation in Vision-Language Models
Ising Model Optimization Problems on a FPGA Accelerated Restricted Boltzmann Machine
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning
Adaptive Polling in Hierarchical Social Networks using Blackwell Dominance
Exchanging Lessons Between Algorithmic Fairness and Domain Generalization
Simple O(1) Query Algorithm for Level Ancestors
Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model
Identity-Preserving Image-to-Video Generation via Reward-Guided Optimization
Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs
Fibonacci and digit-by-digit computation; An example of reverse engineering in computational mathematics
Unsupervised Structural Scene Decomposition via Foreground-Aware Slot Attention with Pseudo-Mask Guidance
A Unified Analysis Method for Online Optimization in Normed Vector Space
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
IFS: Information Flow Structure for Multi-agent Ad Hoc System
Invariance assumptions for class distribution estimation
On the aggregation of incomplete preferences
Using Game Theory for Real-Time Behavioral Dynamics in Microscopic Populations with Noisy Signaling
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles
Optimal estimation with missing observations via balanced time-symmetric stochastic models
Alpaca: Intermittent Execution without Checkpoints
Theoretical Limits of Joint Detection and Estimation for Radar Target
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
Robust, privacy-preserving, transparent, and auditable on-device blocklisting
Permutation Invariant Likelihoods and Equivariant Transformations
Exploring the Use of Contingency for Nuclear Electrical Studies
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
A Continual Learning Framework for Adaptive Defect Classification and Inspection
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
Hybrid Quantum-Classical Mixture of Experts: Unlocking Topological Advantage via Interference-Based Routing
Enumerating combinatorial resultant decompositions of 2-connected rigidity circuits
Distributed Source Coding of Correlated Gaussian Sources
New satellites of figure-eight orbit computed with high precision
PIE: Parkour with Implicit-Explicit Learning Framework for Legged Robots
Single-Image 3D Face Reconstruction under Perspective Projection
Near-optimal estimates for the ℓ p -Lipschitz constants of deep random ReLU neural networks
Signal Recovery From Product of Two Vandermonde Matrices
T-MLA: A Targeted Multiscale Log-Exponential Attack Framework for Neural Image Compression
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
Exploiting Facial Landmarks for Emotion Recognition in the Wild
Data+Shift: Supporting visual investigation of data distribution shifts by data scientists
GPT-4 Reticular Chemist for MOF Discovery
Design and Analysis of Robust Adaptive Filtering with the Hyperbolic Tangent Exponential Kernel M-Estimator Function for Active Noise Control
E-polis: A serious game for the gamification of sociological surveys
WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic
UCD: Unlearning in LLMs via Contrastive Decoding
Dynamic Race Prediction in Linear Time
Thermal Crosstalk Analysis in RRAM Passive Crossbar Arrays
A Switched Systems Approach to Path Following with Intermittent State Feedback
A Systematic Review on the Generative AI Applications in Human Medical Genomics
Robustness Metrics for Real-World Adversarial Examples
Rethinking Inductive Bias in Geographically Neural Network Weighted Regression
Translating Machine Learning Interpretability into Clinical Insights for ICU Mortality Prediction
HiSin: Efficient High-Resolution Sinogram Inpainting via Resolution-Guided Progressive Inference
Classification of Primitive Manufacturing Tasks from Filtered Event Data
Fourier Beyond Dispersion: Wavenumber Explicit and Precise Accuracy of FDMs for the Helmholtz Equation
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning
AgentArch: A Comprehensive Benchmark to Evaluate Agent Architectures in Enterprise
Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis
Generalizable prediction of academic performance from short texts on social media
Modeling PFAS in Semiconductor Manufacturing to Quantify Trade-offs in Energy Efficiency and Environmental Impact of Computing Systems
An improved energy argument for the Hegselmann-Krause model
Multi-Spectral Facial Biometrics in Access Control
Exploring human-SAV interaction using large language models: The impact of psychological ownership and anthropomorphism on user experience
Delegating via Quitting Games
Infinite-Dimensionality in Quantum Foundations: W*-algebras as Presheaves over Matrix Algebras
Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization
Sampling strategies for expectation values within the Herman-Kluk approximation
Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
A Multi-Scale Conditional Deep Model for Tumor Cell Ratio Counting
InterGridNet: An Electric Network Frequency Approach for Audio Source Location Classification Using Convolutional Neural Networks
A Polarization Opinion Model Inspired by Bounded Confidence Communications
FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models
FedHQ: Hybrid Runtime Quantization for Federated Learning
An Implementation of Voice over the Cognitive Packet Network
Investigating practical, linear temporal difference learning
Post-Completion Learning for Language Models
A Concise Review of Hallucinations in LLMs and their Mitigation
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Audio-Visual Wake Word Spotting System For MISP Challenge 2021
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization with Partial Pivoting
Locating the Sources of Sub-synchronous Oscillations Induced by the Control of Voltage Source Converters Based on Energy Structure and Nonlinearity Detection
Knowledge Engineering using Large Language Models
On the Ergodicity of an Autonomous Robot for Efficient Environment Explorations
Critical Sets in Bipartite Graphs
Assessing the role of clinical summarization and patient chart review within communications, medical management, and diagnostics
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary
MPO: Multidimensional Preference Optimization for Language Model-based Text-to-Speech
Towards a Semantics for Hybrid ASP systems
Tangramob: an agent-based simulation framework for validating urban smart mobility solutions
Finding smart contract vulnerabilities with ConCert's property-based testing framework
Occluded Cloth-Changing Person Re-Identification
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization
Appending Atomically in Byzantine Distributed Ledgers
Partially Intervenable Causal Models
Optical Navigation in Unstructured Dynamic Railroad Environments
2D-CTC for Scene Text Recognition
On Beat Frequency Oscillation of Two-Stage Wireless Power Receivers
Visualizing High-Dimensional Temporal Data Using Direction-Aware t-SNE
Theory of Cognitive Relativity: A Promising Paradigm for True AI
Towards Benchmarking Foundation Models for Tabular Data With Text
Unsupervised Learning for Neural Network-based Polar Decoder via Syndrome Loss
Differential Privacy in Machine Learning: From Symbolic AI to LLMs
Integrating Geodesic Interpolation and Flow Matching for Non-Autoregressive Text Generation in Logit Space
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems
Data Interpretation over Plots
Fourier Learning Machines: Nonharmonic Fourier-Based Neural Networks for Scientific Machine Learning
Fidel-TS: A High-Fidelity Benchmark for Multimodal Time Series Forecasting
RGISTools: Downloading, Customizing, and Processing Time Series of Remote Sensing Data in R
Domain-adapted large language models for classifying nuclear medicine reports
FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network
An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding
Sequences, yet Functions: The Dual Nature of Data-Stream Processing
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base
When Bugs Linger: A Study of Anomalous Resolution Time Outliers and Their Themes
Worst-Case Pointing Performance Analysis for Large Flexible Spacecraft
Evolution and Detection of Polymorphic and Metamorphic Malwares: A Survey
Neural Population Geometry and Optimal Coding of Tasks with Shared Latent Structure
Regularised Least-Squares Regression with Infinite-Dimensional Output Space
Data Augmentation using Feature Generation for Volumetric Medical Images
Novel Uncertainty Framework for Deep Learning Ensembles
Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks
An Active Inference Model of Covert and Overt Visual Attention
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
Unsupervised discovery of interpretable hyperelastic constitutive laws
Likes, Budgets, and Equilibria: Designing Contests for Socially Optimal Advertising
Jeffrey's update rule as a minimizer of Kullback-Leibler divergence
Modeling Performance in Open-Domain Dialogue with PARADISE
Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks
Double Supervised Network with Attention Mechanism for Scene Text Recognition
Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements
Risk-Averse Receding Horizon Motion Planning
A New Scheme for Minimizing Malicious Behavior of Mobile Nodes in Mobile Ad Hoc Networks
Implicit-explicit BDF k SAV schemes for general dissipative systems and their error analysis
D-Modules and Holonomic Functions
An effective web document clustering for information retrieval
Do Large Language Models Show Biases in Causal Learning?
UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs
Understanding Neural Network Systems for Image Analysis using Vector Spaces and Inverse Maps
A New Greedy Algorithm for Multiple Sparse Regression
Improving computation efficiency using input and architecture features for a virtual screening application
Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games
Multi-modal Reference Learning for Fine-grained Text-to-Image Retrieval
Automated classification of plasma regions using 3D particle energy distribution
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval
From Catastrophic to Concrete: Reframing AI Risk Communication for Public Mobilization
Triplet Losses-based Matrix Factorization for Robust Recommendations
Abstract Milling with Turn Costs
When a Nation Speaks: Machine Learning and NLP in People's Sentiment Analysis During Bangladesh's 2024 Mass Uprising
Levenberg-Marquardt Method Based Cooperative Source Localization in SIMO Molecular Communication via Diffusion Systems
Wireless Power Transfer Analysis using Ansys
Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
ValueNet: A Neural Text-to-SQL Architecture Incorporating Values
Wave: A Split OS Architecture for Application Engines
Active Inference for Closed-loop transmit beamsteering in Fetal Doppler Ultrasound
n-Channel Asymmetric Multiple-Description Lattice Vector Quantization
Computer vision-enriched discrete choice models, with an application to residential location choice
Reachability Games with Relaxed Energy Constraints
Spacecraft Collision Risk Assessment with Probabilistic Programming
A generalisation of the Gilbert-Varshamov bound and its asymptotic evaluation
Finding the Right Way to Rome: Effect-oriented Graph Transformation
Dynamically Improving Branch Prediction Accuracy Between Contexts
Learning disentangled representations with the Wasserstein Autoencoder
Model Predictive Control with Self-supervised Representation Learning
Re-embedding a 1-Plane Graph into a Straight-line Drawing in Linear Time
Robust Precoder for Multiuser MISO Downlink with SINR Constraints
Unified Source-Filter GAN: Unified Source-filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN
Fundamental limitations to key distillation from Gaussian states with Gaussian operations
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks
Ground Canonicity
Application of Structural Similarity Analysis of Visually Salient Areas and Hierarchical Clustering in the Screening of Similar Wireless Capsule Endoscopic Images
Embedding in Recommender Systems: A Survey
DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models
No Budget? Don't Flex! Cost Consideration when Planning to Adopt NLP for Your Business
A parallel space-time multigrid method for the eddy-current equation
A Lexicalist Approach to the Translation of Colloquial Text
Robust and scalable Bayes via a median of subset posterior measures
Detecting Data Errors with Statistical Constraints
Optimal lofted B-spline surface interpolation based on serial closed contours
Multi-Sensor Image Fusion Based on Moment Calculation
Symmetry Detection of Occluded Point Cloud Using Deep Learning
Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
Distributed Specialization: Rare-Token Neurons in Large Language Models
SoK: Preconfirmations
Towards Efficient Large Multimodal Model Serving
How Well Do Large Language Models Serve as End-to-End Secure Code Producers?
Qualitative Analysis of Concurrent Mean-payoff Games
Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis
On topological changes in the Delaunay triangulation of moving points
Embracing Agile methodology during DevOps Developer Internship Program
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
On Sarcasm Detection with OpenAI GPT-based Models
CASteer: Steering Diffusion Models for Controllable Generation
An energy-dissipative level-set method for the incompressible two-phase Navier-Stokes equations with surface tension using functional entropy variables
Combining Structured Corporate Data and Document Content to Improve Expertise Finding
Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach
Analogy Search Engine: Finding Analogies in Cross-Domain Research Papers
Classification via local manifold approximation
NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil
Some Properties of Yao Y4 Subgraphs
DPO-F+: Aligning Code Repair Feedback with Developers' Preferences
A comprehensive benchmark of an Ising machine on the Max-Cut problem
Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art
IEC-61850 Performance Evaluation in a 5G Cellular Network: UDP and TCP Analysis
Low-Density Code-Domain NOMA: Better Be Regular
Speculating Ineffective UI Exploration via Trace Analysis
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
On the Complexity of Solving a Bivariate Polynomial System
Novel Quantum Information Processing Methods and Investigation
Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
Compound Multiple Access Channels with Partial Cooperation
OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
PD-Based and SINDy Nonlinear Dynamics Identification of UAVs for MPC Design
A Linear-time Algorithm for Orthogonal Watchman Route Problem with Minimum Bends
Hamilton Circuits in Graphs and Directed Graphs
homotopy.io: a proof assistant for finitely-presented globular n-categories
MoS-VLA: A Vision-Language-Action Model with One-Shot Skill Adaptation
Gait Recognition Based on Tiny ML and IMU Sensors
A Simulation Benchmark for Vision-based Autonomous Navigation
An Attract-Repel Decomposition of Undirected Networks
Public Sentiment Toward Solar Energy: Opinion Mining of Twitter Using a Transformer-Based Language Model
Distance rationalization of social rules
DiffFit: Disentangled Garment Warping and Texture Refinement for Virtual Try-On
Uplink Performance of Large Optimum-Combining Antenna Arrays in Power-Controlled Cellular Networks
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model
Towards Smart Education through the Internet of Things: A Review
Strategic Communication with Side Information at the Decoder
Assessing Exception Handling Testing Practices in Open-Source Libraries
Who does what? Work division and allocation strategies of computer science student teams
CodeArena: A Collective Evaluation Platform for LLM Code Generation
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs
Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
Self Supervised Occupancy Grid Learning from Sparse Radar for Autonomous Driving
A Co-contextual Type Checker for Featherweight Java (incl. Proofs)
FineFool: Fine Object Contour Attack via Attention
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
A Survey of Modern Object Detection Literature using Deep Learning
QDEF and Its Approximations in OBDM
iCartoonFace: A Benchmark of Cartoon Person Recognition
Model-Free Based Digital Control for Magnetic Measurements
An Aerial Transport System in Marine GNSS-Denied Environment
Explicit SoS lower bounds from high-dimensional expanders
SKQVC: One-Shot Voice Conversion by K-Means Quantization with Self-Supervised Speech Representations
ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data
On the effects of logical database design on database size, query complexity, query performance, and energy consumption
Rethinking Video Tokenization: A Conditioned Diffusion-based Approach
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
SpotTune: Transfer Learning through Adaptive Fine-tuning
Semantic Communications with World Models
Security Evaluation for Mail Distribution Systems
Concurrent infill topology and shape optimisation of lattice-skin structures
Nearly-Optimal Private Selection via Gaussian Mechanism
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning
QUINT: Node embedding using network hashing
Zero-shot Learning by Generating Task-specific Adapters
ARRC: Advanced Reasoning Robot Control - Knowledge-Driven Autonomous Manipulation Using Retrieval-Augmented Generation
Constructing Initial Algebras Using Inflationary Iteration
An explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifier
Coinduction up to in a fibrational setting
Downlink Throughput Driven Channel Access Framework for Cognitive LTE Femto-Cells
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding
The Power Allocation Game on A Dynamic Network: Equilibrium Selection
On the regularity of De Bruijn multigrids
Bridging Perspectives: Foundation Model Guided BEV Maps for 3D Object Detection and Tracking
Smoothed finite element method for stress intensity factor estimation: benefits and limitations
Adaptive Spatial Steganography Based on Probability-Controlled Adversarial Examples
Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit
Malware Classification Based on Image Segmentation
Modelling change in neural dynamics during phonetic accommodation
Extern Objects in P4: an ROHC Compression Case Study
On the adaptation of in-context learners for system identification
SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation
Flow Dynamics Correction for Action Recognition
Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations
Runtime Detection of Adversarial Attacks in AI Accelerators Using Performance Counters
Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects
Dynamical Functional Theory for Compressed Sensing
Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation
Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule
Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks
Optimizing Hyper parameters in CNN for Soil Classification using PSO and Whale Optimization Algorithm
Strong Turing Degrees for Additive BSS RAM's
SingSong: Generating musical accompaniments from singing