yusuke1997/dblp-id-title huggingface dataset:
Hybrid Models for Natural Language Reasoning: The Case of Syllogistic Logic
Scaling up the formation of agents with heterogeneous sensing: mixed distance and bearing-only
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Metrics for Evaluating Social Conformity of Crowd Navigation Algorithms
Emotionalism within People-Oriented Software Design
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
Explicit symmetric low-regularity integrators for the nonlinear Schrödinger equation
Bounded Model Checking of Multi-threaded Software using SMT solvers
AntM 2 C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning
Full Workspace Generation of Serial-link Manipulators by Deep Learning based Jacobian Estimation
Answering Subcognitive Turing Test Questions: A Reply to French
Application of Quantum Convolutional Neural Networks for MRI-Based Brain Tumor Detection and Classification
Requirements for Ethereum Private Sidechains
Wordcraft: a Human-AI Collaborative Editor for Story Writing
Semi-Supervised Phoneme Recognition with Recurrent Ladder Networks
TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification
EVLP:Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning
Evolutionary Dynamics and Φ-Regret Minimization in Games
Fourier Optics and Deep Learning Methods for Fast 3D Reconstruction in Digital Holography
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
On the optimality of ternary arithmetic for compactness and hardware design
A MAX-MIN Ant Colony System for Minimum Common String Partition Problem
Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance
Quantum contextuality in classical information retrieval
Quantum Fourier Transform Based Denoising: Unitary Filtering for Enhanced Speech Clarity
On Critical Threshold Value for Simple Games
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning
Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution
Maple: A Multi-agent System for Portable Deep Learning across Clusters
Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective
Catch a Breath: Non-invasive Respiration Rate Monitoring via Wireless Communication
Heterogeneous Multi-Agent Proximal Policy Optimization for Power Distribution System Restoration
Attack-Aware Multi-Sensor Integration Algorithm for Autonomous Vehicle Navigation Systems
MoVieDrive: Multi-Modal Multi-View Urban Scene Video Generation
Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach
Generalized Wake-Up: Amortized Shared Memory Lower Bounds for Linearizable Data Structures
Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations
Measuring Improvement of F 1 -Scores in Detection of Self-Admitted Technical Debt
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
Design and performance of a space-time virtual element method for the heat equation on prismatic meshes
Applications of different metaheuristic techniques for finding optimal tst order during integration testing of object oriented systems and their comparative study
Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
Building-up the subject classification system from the collective intelligence
OpenThoughts: Data Recipes for Reasoning Models
Cloud Computing - Architecture and Applications
Systematic Evaluation of Time-Frequency Features for Binaural Sound Source Localization
Eigenvalue Dynamics of a Central Wishart Matrix with Application to MIMO Systems
Adding an Edge in a P 4 -sparse Graph
RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines
Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units
Voted Kernel Regularization
An adaptive surrogate modeling based on deep neural networks for large-scale Bayesian inverse problems
Backtrack Tie-Breaking for Decision Trees: A Note on Deodata Predictors
"They Aren't Built For Me": A Replication Study of Visual Graphical Perception with Tactile Representations of Data for Visually Impaired Users
Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss
SIMT/GPU Data Race Verification using ISCC and Intermediary Code Representations: A Case Study
Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes
FNetAR: Mixing Tokens with Autoregressive Fourier Transforms
OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking
Buffer-aided Resource Allocation for a Price Based Opportunistic Cognitive Radio Network
Bounded State Estimation over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity
A nonnegativity-preserving finite element method for a class of parabolic SPDEs with multiplicative noise
The Generalized Pignistic Transformation
Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting
Generalized Self-concordant Hessian-barrier algorithms
Simplifying Sentences with Sequence to Sequence Models
Compositional shield synthesis for safe reinforcement learning in partial observability
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Adaptive Security Policy Management in Cloud Environments Using Reinforcement Learning
COVID Future Panel Survey: A Unique Public Dataset Documenting How U.S. Residents' Travel Related Choices Changed During the COVID-19 Pandemic
Synthetic Augmentation for Anatomical Landmark Localization using DDPMs
Single Cell Training on Architecture Search for Image Denoising
A Coinductive Approach to Computing with Compact Sets
Co-modelling of Agricultural Robotic Systems
The hop-like problem nature - unveiling and modelling new features of real-world problems
Flash Lightens Gray Pixels
Risk of re-identification for shared clinical speech recordings
Preventing pressure oscillations does not fix local linear stability issues of entropy-based split-form high-order schemes
A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing
Should multilevel methods for discontinuous Galerkin discretizations use discontinuous interpolation operators?
Learning landmark guided embeddings for animal re-identification
A Restricted Second-Order Logic for Non-deterministic Poly-Logarithmic Time
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training
Near-Field Fading Channel Modeling for ELAAs: From Communication to ISAC
Sampling Model for Grid Material Inspection Based on Analytic Hierarchy Process with Absolute Measurement
Multi-Hypotheses Navigation in Collaborative Localization subject to Cyber Attacks
TLB and Pagewalk Performance in Multicore Architectures with Large Die-Stacked DRAM Cache
A survey on the complexity of learning quantum states
Community Detection in Directed Weighted Networks using Voronoi Partitioning
Rat big, cat eaten! Ideas for a useful deep-agent protolanguage
Visualization of topology optimization designs with representative subset selection
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey
Machine Learning and statistical classification of CRISPR-Cas12a diagnostic assays
Modeling and Mitigating Human Annotation Errors to Design Efficient Stream Processing Systems with Human-in-the-loop Machine Learning
Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation
Web Based Reputation Index of Turkish Universities
Relating Idioms, Arrows and Monads from Monoidal Adjunctions
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
An Improved Solution for Restricted and Uncertain TRQ (Explicit and Implicit Constrained-Space Probabilistic Threshold Range Queries for Moving Objects)
Minimal Translations from Synchronous Communication to Synchronizing Locks (Extended Version)
The Everyday Security of Living with Conflict
Creating Data Art: Authentic Learning and Visualisation Exhibition
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
TACHYON: Efficient Shared Memory Parallel Computation of Extremum Graphs
A Hybrid Approach for Co-Channel Speech Segregation based on CASA, HMM Multipitch Tracking, and Medium Frame Harmonic Model
Automated Play-Testing Through RL Based Human-Like Play-Styles Generation
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Multi-Level Contrastive Learning for Few-Shot Problems
Another one flew over the cuckoo's nest
SimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism
Integrative Analysis for COVID-19 Patient Outcome Prediction
Speaking Style Authentication Using Suprasegmental Hidden Markov Models
Multi-level Attention Fusion Network for Audio-visual Event Recognition
Geographies of an online social network
Internal Bias in Reasoning Models leads to Overthinking
High Rate Single-Symbol ML Decodable Precoded DSTBCs for Cooperative Networks
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
LLMShot: Reducing snapshot testing maintenance via LLMs
Algebraic solutions to multidimensional minimax location problems with Chebyshev distance
Contrastive Cross-Modal Learning for Infusing Chest X-ray Knowledge into ECGs
Understanding EFL Learners' Code-Switching and Teachers' Pedagogical Approaches in LLM-Supported Speaking Practice
Understanding temporally weakly supervised training: A case study for keyword spotting
A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI
Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network
Enhancing Training Data Attribution with Representational Optimization
Physics-Informed Quantum Communication Networks: A Vision Towards the Quantum Internet
Base Station Network Traffic Prediction Approach Based on LMA-DeepAR
Distribution-free calibration guarantees for histogram binning without sample splitting
XiSort: Deterministic Sorting via IEEE-754 Total Ordering and Entropy Minimization
Equivalence, Identity, and Unitarity Checking in Black-Box Testing of Quantum Programs
Syn-GRPO: Self-Evolving Data Synthesis for MLLM Perception Reasoning
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
An Algebraic-Geometric Approach to Shuffled Linear Regression
Stable Cluster Core Detection in Correlated Hashtag Graph
Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
Learning to Optimize Neural Nets
OpenLB User Guide: Associated with Release 1.6 of the Code
Strategies for Network-Safe Load Control with a Third-Party Aggregator and a Distribution Operator
Modeling Discrimination with Causal Abstraction
Simultaneous Beam Training and Target Sensing in ISAC Systems with RIS
MemShield: GPU-assisted software memory encryption
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Experimental Validation of Linear and Nonlinear MPC on an Articulated Unmanned Ground Vehicle
Interactive Re-Fitting as a Technique for Improving Word Embeddings
Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
SMT(LIA) Sampling with High Diversity
Multivariate Interpolation Formula over Finite Fields and Its Applications in Coding Theory
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
RGBD2lux: Dense light intensity estimation with an RGBD sensor
Generalized Event Partonomy Inference with Structured Hierarchical Predictive Learning
Data Alignment for Zero-Shot Concept Generation in Dermatology AI
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
An Artificial Intelligence approach to Shadow Rating
Elastically-Constrained Meta-Learner for Federated Learning
Metamorphosis of Fuzzy Regular Expressions to Fuzzy Automata using the Follow Automata
The Art of Data Hiding with Reed-Solomon Error Correcting Codes
Raster Domain Text Steganography: A Unified Framework for Multimodal Secure Embedding
Coverage and Rate Analysis in Coexisting Terahertz and RF Finite Wireless Networks
Kernel Density Machines
Quantum State Tomography for Tensor Networks in Two Dimensions
SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature
Dynamics of Collective Information Processing for Risk Encoding in Social Networks during Crises
GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching
On the h -majority dynamics with many opinions
Diffusion Models in 3D Vision: A Survey
A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection
Benchmark-based Study of CPU/GPU Power-Related Features through JAX and TensorFlow
Profit from Two Bitcoin Mining Tactics: Towing and Shutdown
Multi-Pass Targeted Dynamic Symbolic Execution
On the entropy power inequality for the Rényi entropy of order [0, 1]
Some new Features and Algorithms for the Study of DFA
Probabilistic contingent planning based on HTN for high-quality plans
GauSSmart: Enhanced 3D Reconstruction through 2D Foundation Models and Geometric Filtering
Deconvolutional Density Network: Free-Form Conditional Density Estimation
Local Nonstationarity for Efficient Bayesian Optimization
Deep Learning-based Bathymetry Retrieval without In-situ Depths using Remote Sensing Imagery and SfM-MVS DSMs with Data Gaps
Improving Face-Based Age Estimation with Attention-Based Dynamic Patch Fusion
LatentGAN Autoencoder: Learning Disentangled Latent Distribution
MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge
Informative Path Planning to Explore and Map Unknown Planetary Surfaces with Gaussian Processes
Time-Variant Vector Field Visualization for Magnetic Fields of Neutron Star Simulations
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems
Neural Network Training Using 𝓁 1 -Regularization and Bi-fidelity Data
Twenty Years of Personality Computing: Threats, Challenges and Future Directions
Swim: A General-Purpose, High-Performing, and Efficient Activation Function for Locomotion Control Tasks
Quantum-inspired nonlinear Galerkin ansatz for high-dimensional HJB equations
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models
Noise level free regularisation of general linear inverse problems under unconstrained white noise
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
MAT-MPNN: A Mobility-Aware Transformer-MPNN Model for Dynamic Spatiotemporal Prediction of HIV Diagnoses in California, Florida, and New England
Compound Outage Probability and Capacity of a Class of Fading MIMO Channels with Channel Distribution Uncertainty
Switched Max-Link Relay Selection Algorithms for Buffer-Aided Relay Systems
VeST: Very Sparse Tucker Factorization of Large-Scale Tensors
PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
Recovering Games from Perturbed Equilibrium Observations Using Convex Optimization
The Crawler: Two Equivalence Results for Object (Re)allocation Problems when Preferences Are Single-peaked
Anti-biofouling Lensless Camera System with Deep Learning based Image Reconstruction
Deep Statistic Shape Model for Myocardium Segmentation
Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition
Utilizing Textual Reviews in Latent Factor Models for Recommender Systems
When Sally Found Harry: A Stochastic Search Game
Handwritten Arabic Numeral Recognition using Deep Learning Neural Networks
Predicting the Initial Conditions of the Universe using Deep Learning
Nonsmooth Optimization for Robust Estimation
Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning
A general anomaly detection framework for fleet-based condition monitoring of machines
Automated Conversion of Static to Dynamic Scheduler via Natural Language
Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments
Fast approximation algorithms for $p$-centres in large $δ$-hyperbolic graphs
Towards Practical Evaluation of Android ICC Resolution Techniques
External Prompt Features Enhanced Parameter-efficient Fine-tuning for Salient Object Detection
How to beat the sphere-packing bound with feedback
Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
Towards an Automated Multimodal Approach for Video Summarization: Building a Bridge Between Text, Audio and Facial Cue-Based Summarization
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction
Homonym Identification using BERT - Using a Clustering Approach
Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector
Sharp Attention Network via Adaptive Sampling for Person Re-identification
A high-order and fast scheme with variable time steps for the time-fractional Black-Scholes equation
Self-Training Large Language Models with Confident Reasoning
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Semi-supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cell
Shape Proportions and Sphericity in n Dimensions
PROBI: A Heuristic for the probabilistic k-median problem
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation
DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks
Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
Design of a multimodal device to improve well-being of autistic workers interacting with collaborative robots
VADOI: Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition
Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging
Calibration of Elastoplastic Constitutive Model Parameters from Full-field Data with Automatic Differentiation-based Sensitivities
Monetisation of and Access to in-Vehicle data and resources: the 5GMETA approach
From Open-Vocabulary to Vocabulary-Free Semantic Segmentation
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion
Automated Identification of Disaster News For Crisis Management Using Machine Learning
l_0 Norm Constraint LMS Algorithm for Sparse System Identification
A Graph Calculus for Predicate Logic
Statistical Mechanics of Neural Processing of Object Manifolds
Fitness Landscape Analysis for Dynamic Resource Allocation in Multiuser OFDM Based Cognitive Radio Systems
Real-time CARFAC Cochlea Model Acceleration on FPGA for Underwater Acoustic Sensing Systems
Summary Workbench: Unifying Application and Evaluation of Text Summarization Models
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
CVAD: A generic medical anomaly detector based on Cascade VAE
Implementation of Smart Contracts Using Hybrid Architectures with On- and Off-Blockchain Components
DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning
SarDub19: An Error Estimation and Reconciliation Protocol
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
Coherence-Aware Distributed Learning under Heterogeneous Downlink Impairments
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
A Game-Theoretic Approach for Detection of Overlapping Communities in Dynamic Complex Networks
Un résultat intrigant en commande sans modèle
Benchmarking the Neural Linear Model for Regression
A High Speed Integrated Quantum Random Number Generator with on-Chip Real-Time Randomness Extraction
Low-dimensional Models in Spatio-Temporal Wind Speed Forecasting
A review on outlier/anomaly detection in time series data
Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
Internet Localization of Multi-Party Relay Users: Inherent Friction Between Internet Services and User Privacy
High-dimensional approximate nearest neighbor: k-d Generalized Randomized Forests
A First Look at Inter-Cell Interference in the Wild
Efficient Wireless Security Through Jamming, Coding and Routing
AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
InterDance:Reactive 3D Dance Generation with Realistic Duet Interactions
Efficient Parallelization for AMR MHD Multiphysics Calculations; Implementation in AstroBEAR
The IDLAB VoxCeleb Speaker Recognition Challenge 2021 System Description
Deep and shallow data science for multi-scale optical neuroscience
Equivariant divergence formula for chaotic flows
Lifelong Machine Learning Potentials
LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data
EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos
Querying collections of tree-structured records in the presence of within-record referential constraints
KKT-Informed Neural Network
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
Plots.jl - a user extendable plotting API for the julia programming language
Optron: Better Medical Image Registration via Training in the Loop
Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds
Thresholds quantifying proportionality criteria for election methods
Research report : Collaborative Peer 2 Peer Edition: Avoiding Conflicts is Better than Solving Conflicts
Incremental Consistency Checking in Delta-oriented UML-Models for Automation Systems
A high order hybridizable discontinuous Galerkin method for incompressible miscible displacement in heterogeneous media
3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph
Almost complete analytical integration in Galerkin BEM
Mephisto: A Framework for Portable, Reproducible, and Iterative Crowdsourcing
Delay-Constrained Multicast Routing Algorithm Based on Average Distance Heuristic
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks
Decomposing Monolithic Processes in a Process Algebra with Multi-actions
Enhancing Robot Route Optimization in Smart Logistics with Transformer and GNN Integration