yusuke1997/dblp-id-title huggingface dataset:
Sampling on networks: estimating eigenvector centrality on incomplete graphs
Scalable 3D Gaussian Splatting-Based RF Signal Spatial Propagation Modeling
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems
Differentially Private Decoding in Large Language Models
S 3 IT: A Benchmark for Spatially Situated Social Intelligence Test
MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion
BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios
Proceedings 15th International Refinement Workshop, Refine@FM 2011, Limerick, Ireland, 20th June 2011
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems
Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding
End-to-End Deep Kronecker-Product Matching for Person Re-identification
TAGS: 3D Tumor-Adaptive Guidance for SAM
A Backwards View for Assessment
Diffusion Learning with Partial Agent Participation and Local Updates
Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers
Augmenting Multi-Agent Communication with State Delta Trajectory
Lightweight Robust Direct Preference Optimization
A Design Process of Visual Analytics Applications using Conceptual Graph
Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations
Comparison of deep learning models: CNN and VGG-16 in identifying pornographic content
A quasi-polynomial bound for the minimal excluded minors for a surface
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations
Unifying Two Types of Scaling Laws from the Perspective of Conditional Kolmogorov Complexity
Using Python for Model Inference in Deep Learning
Reasoning Text-to-Video Retrieval via Digital Twin Video Representations and Large Language Models
On Generalized Optimal Hard Decision Fusion
PTR: A Pre-trained Language Model for Trajectory Recovery
DyRo-MCTS: A Robust Monte Carlo Tree Search Approach to Dynamic Job Shop Scheduling
Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
The Dimensions of Hyperspaces
Variable-Order Approach to Nonlocal Elasticity: Theoretical Formulation and Order Identification via Deep Learning Techniques
Cooperative Localization in Visible Light Networks: Theoretical Limits and Distributed Algorithms
Benchmarking Large Language Models for Cryptanalysis and Mismatched-Generalization
A Machine Learning-Fueled Modelfluid for Flowsheet Optimization
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation
VoltanaLLM: Feedback-Driven Frequency Control and State-Space Routing for Energy-Efficient LLM Serving
Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment using Facial Videos and fNIRS
Accelerating Genome Analysis via Algorithm-Architecture Co-Design
LCDC: Bridging Science and Machine Learning for Light Curve Analysis
Multi-UAVs end-to-end Distributed Trajectory Generation over Point Cloud Data
Large Language Models in Healthcare
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking
One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models
Towards Static Type-checking for Jolie
Trade integration and trade imbalances in the European Union: a network perspective
Distributed Nonconvex Optimization: Oracle-free Iterations and Globally Optimal Solution
Benefits of Mobile End User Network Switching and Multihoming
Global optimization for data assimilation in landslide tsunamis models
Predicting Intermediate Storage Performance for Workflow Applications
An iterated learning model of language change that mixes supervised and unsupervised learning
Behind the Scenes: Mechanistic Interpretability of LoRA-adapted Whisper for Speech Emotion Recognition
Symplectic Euler scheme for Hamiltonian stochastic differential equations driven by Levy noise
An algorithm for solving the Independent Set problem
A simplified electro-chemical lithium-ion battery model applicable for in-situ monitoring and online controlling
Environment and classical channels in categorical quantum mechanics
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme
Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model
Using Space-Time trellis Codes For AF Relay Channels
CATALOG: A Camera Trap Language-guided Contrastive Learning Model
Quantum Three-Pass protocol: Key distribution using quantum superposition states
Computation Resource Allocation Solution in Recommender Systems
A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation
LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge
Autonomous Cooperative Multi-Vehicle System for Interception of Aerial and Stationary Targets in Unknown Environments
Towards Causal Models for Adversary Distractions
On Content-Based Recommendation and User Privacy in Social-Tagging Systems
On the failure of variational score matching for VAE models
Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation
Distributed Formation Control of Nonlonolomic Mobile Robots by Bounded Feedback in the Presence of Obstacles
ChirpCast: Data Transmission via Audio
MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems?
Snap-and-Chat Protocols: System Aspects
Deployment and Development of a Cognitive Teleoreactive Framework for Deep Sea Autonomy
Managing Charging Induced Grid Stress and Battery Degradation in Electric Taxi Fleets
Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment
Generation and application of bursting dynamic behaviour in memristor neurons
Efficient Multi-agent Navigation with Lightweight DRL Policy
Interpolation Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
GenderBench: Evaluation Suite for Gender Biases in LLMs
Impact of uncertainties on the Stability Lobe Diagram for vibration evaluation in milling
Systematic Evaluation and User Study of Privacy of Default Apps in Apple's Mobile Ecosystem
Constraint Programming and Constructive Heuristics for Parallel Machine Scheduling with Sequence-Dependent Setups and Common Servers
Dashbell: A Low-cost Smart Doorbell System for Home Use
Batch size invariant Adam
Real-Time Anomalous Behavior Detection and Localization in Crowded Scenes
Model checking: the interval way
A Bad Arm Existence Checking Problem
On (Omega-)Regular Model Checking
ClassdescMP: Easy MPI programming in C++
A Survey on Object Detection in Optical Remote Sensing Images
Improving the Interpretability of Support Vector Machines-based Fuzzy Rules
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flows
Riemannian Diffusion Schrödinger Bridge
When Arcs Extend Uniquely: A Higher-Dimensional Generalization of Barlotti's Result
Uncertainty evaluation of segmentation models for Earth observation
Flexible queries in XML native databases
Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles
Evolving Categories: Consistent Framework for Representation of Data and Algorithms
Robust Zero-Sum Deep Reinforcement Learning
Micro Spitbol
Jointly they edit: examining the impact of community identification on political interaction in Wikipedia
Vision Foundation Models for Computed Tomography
Reimagining Safety Alignment with An Image
A Comparative Study of Single-Constraint Routing in Wireless Mesh Networks Using Different Dynamic Programming Algorithms
Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A review
Hierarchical-type Model Predictive Control and Experimental Evaluation for a Water-Hydraulic Artificial Muscle with Direct Data-Driven Adaptive Model Matching
Fine-tuning Large Language Models for Adaptive Machine Translation
Minmax-optimal list searching with O(log 2 log 2 n) average cost
Contextual Bandit Optimization with Pre-Trained Neural Networks
Distributed Multi-object Tracking under Limited Field of View Sensors
Knowledge Problems in Protocol Analysis: Extending the Notion of Subterm Convergent
Unsupervised Sentiment Analysis of Plastic Surgery Social Media Posts
The Canny-Emiris conjecture for the sparse resultant
Filtered Approximate Nearest Neighbor Search: A Unified Benchmark and Systematic Experimental Study [Experiment, Analysis & Benchmark]
Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration
Research on the mobile robots intelligent path planning based on ant colony algorithm application in manufacturing logistics
Irregularity Inspection using Neural Radiance Field
Good Semi-supervised Learning that Requires a Bad GAN
What motivates people to telework? Exploratory study in a post-confinement context
Diffusion Deepfake
Optimal Boundary Control of Diffusion on Graphs via Linear Programming
Feature Complementation Architecture for Visual Place Recognition
Addendum to "Fuglede's conjecture fails in 4 dimensions over odd prime fields"
A Modular and Scalable System Architecture for Heterogeneous UAV Swarms Using ROS 2 and PX4-Autopilot
Existence and numerical approximation of a one-dimensional Boussinesq system with variable coefficients on a finite interval
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction
Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals Novel Patterns
Kernel/User-level Collaborative Persistent Memory File System with Efficiency and Protection
Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
Optimization-Based Analysis of Music Intervals and Tuning Systems in Oral Traditions Using Pitch Histograms: A Case Study of Iranian Vocal Music
Optimal Planning and Machine Learning for Responsive Tracking and Enhanced Forecasting of Wildfires using a Spacecraft Constellation
Vibrational Fingerprints of Strained Polymers: A Spectroscopic Pathway to Mechanical State Prediction
Analyzing Trends in Tor
Simulation and evaluation of cloud storage caching for data intensive science
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables
Malicious Code Execution Detection and Response Immune System inspired by the Danger Theory
Provably Correct Automatic Subdifferentiation for Qualified Programs
semantic-features: A User-Friendly Tool for Studying Contextual Word Embeddings in Interpretable Semantic Spaces
On Feasibility of Declarative Diagnosis
ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory based Ternary LLMs
An improved local radial basis function method for solving small-strain elasto-plasticity
Group GAN
Construction C*: an improved version of Construction C
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Tubu-io Decentralized Application Development & Test Workbench
A model of semantic completion in generative episodic memory
Poisson Flow Consistency Training
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
Food for thought: How can machine learning help better predict and understand changes in food prices?
Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks
Enabling Open-World Specification Mining via Unsupervised Learning
Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Framework
Kunnafonidilaw ka Cadeau: an ASR dataset of present-day Bambara
Increasing Energy Efficiency of Massive-MIMO Network via Base Stations Switching using Reinforcement Learning and Radio Environment Maps
Reduced Lagrange multiplier approach for non-matching coupled problems in multiscale elasticity
Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding
Understanding Learning through the Lens of Dynamical Invariants
Syntactic Language Change in English and German: Metrics, Parsers, and Convergences
Deep encoding of etymological information in TEI
A Zero-Shot approach to the Conversational Tree Search Task
Compressed Anomaly Detection with Multiple Mixed Observations
Efficient solution of 3D elasticity problems with smoothed aggregation algebraic multigrid and block arithmetics
Backlash Identification in Two-Mass Systems by Delayed Relay Feedback
Synthesizing Efficient Solutions for Patrolling Problems in the Internet Environment
Smoothing Game
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education
Classical and Intuitionistic Subexponential Logics are Equally Expressive
A Survey on Coarse-Grained Reconfigurable Architectures from a Performance Perspective
N-gram Prediction and Word Difference Representations for Language Modeling
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces
AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination
Deep Language Geometry: Constructing a Metric Space from LLM Weights
Search-Based Adversarial Estimates for Improving Sample Efficiency in Off-Policy Reinforcement Learning
OpenApePose: a database of annotated ape photographs for pose estimation
Characterization, Verification and Computation of Robust Controlled Invariants for Monotone Dynamical Systems
Point Projection Mapping System for Tracking, Registering, Labeling and Validating Optical Tissue Measurements
Real-world Instance-specific Image Goal Navigation for Service Robots: Bridging the Domain Gap with Contrastive Learning
Object-centric Video Question Answering with Visual Grounding and Referring
Inverse problems for symmetric doubly stochastic matrices whose Suleĭmanova spectra are to be bounded below by 1/2
Adaptive Sampling for Hydrodynamic Stability
Kahramanmaras-Gaziantep, Turkiye Mw 7.8 Earthquake on February 6, 2023: Preliminary Report on Strong Ground Motion and Building Response Estimations
Varactor-Based Dynamic Load Modulation of High Power Amplifiers
A Production Oriented Approach for Vandalism Detection in Wikidata - The Buffaloberry Vandalism Detector at WSDM Cup 2017
Dynamical stability and chaos in artificial neural network trajectories along training
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads
STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction
AICCA: AI-driven Cloud Classification Atlas
Higher coordination with less control - A result of information maximisation in the sensori-motor loop
C++ programming language for an abstract massively parallel SIMD architecture
Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks
Reinforcement Learning Under Algorithmic Triage
SeDR: Segment Representation Learning for Long Documents Dense Retrieval
Local signal search enhanced RMT estimator for estimating the number of signals based on random matrix theory
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Topological properties and organizing principles of semantic networks
A Highly Tunable Virtual Topology Controller
Deep Learning for Sampling from Arbitrary Probability Distributions
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games
Hybrid subgradient and simulated annealing method for hemivariational inequalities
Improving Human-Computer Interaction by Developing Culture-sensitive Applications based on Common Sense Knowledge
Interference Channel with an Out-of-Band Relay
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
Cartesian square-free codes
A machine learning approach for underwater gas leakage detection
Quantum Variational Autoencoder
Treatment of Reactive Routing Protocols Using Second Chance Based On Malicious Behavior of Nodes in MANETS
SPICE: Smart Projection Interface for Cooking Enhancement
The self-assembly of paths and squares at temperature 1
Towards Region-aware Bias Evaluation Metrics
On the linear convergence of additive Schwarz methods for the p-Laplacian
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Generalized One-shot Domain Adaption of Generative Adversarial Networks
Redundancy Generation in University-Industry-Government Relations: The Triple Helix Modeled, Measured, and Simulated
Larger-scale Nakamoto-style Blockchains Offer Better Security
Co-designing Zoomorphic Robot Concepts for Animal Welfare Education
Ordered Probability Mass Function
Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision
Federated Learning based on Defending Against Data Poisoning Attacks in IoT
Inscanner: Dual-Phase Detection and Classification of Auxiliary Insulation Using YOLOv8 Models
anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding
Scopus' SNIP Indicator
The Collatz process embeds a base conversion algorithm
Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events
MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation
Mini-batch k-means terminates within O(d/ε) iterations
Energy-Aware Resource Allocation for Multi-Operator Cell-Free Massive MIMO in V-CRAN Architectures
A Novel Neural Network Approach for Predicting the Arrival Time of Buses for Smart On-Demand Public Transit
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
Finding Appropriate Traffic Regulations via Graph Convolutional Networks
Benford's Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
Wind turbine condition monitoring based on intra- and inter-farm federated learning
Model-based Safety and Security Co-analysis: a Survey
On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
Multi-party Secure Broad Learning System for Privacy Preserving
Question Answering Over Spatio-Temporal Knowledge Graph
Cantera-Based Python Computer Program for Solving Steam Power Cycles with Superheating
A VCG-based Fair Incentive Mechanism for Federated Learning
Optimal Unitary Linear Processing for Amplify-and-Forward Cooperative OFDM systems
An Estimation-Theoretic View of Privacy
Usage of specific attention improves change point detection
Black-box Testing of First-Order Logic Ontologies Using WordNet
Leaf: Modularity for Temporary Sharing in Separation Logic (Extended Version)
Adversarial Boot Camp: label free certified robustness in one epoch
A Multi-level Monte Carlo simulation for invariant distribution of Markovian switching Lévy-driven SDEs with super-linearly growth coefficients
Self-adapting confidence estimation for stereo
AV-TLX for measuring (mental) workload while driving AVs: Born from NASA-TLX but developed for the era of automated vehicles
Clustering of Big Data with Mixed Features
Wireless Sensor Networks anomaly detection using Machine Learning: A Survey
Flow Field Reconstructions with GANs based on Radial Basis Functions
Tree Automata for Extracting Consensus from Partial Replicas of a Structured Document
Non-Asymptotic Converse Bounds Via Auxiliary Channels
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation
A Parallel Region-Adaptive Differential Privacy Framework for Image Pixelization
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks
Gradient Optimization for Single-State RMDPs
Caching in Multidimensional Databases
Contention-based Geographic Forwarding Strategies for Wireless Sensors Networks
Decidable Exponentials in Nonassociative Noncommutative Linear Logic
Where Do Human Heuristics Come From?
Are Non-Experts Able to Comprehend Business Process Models - Study Insights Involving Novices and Experts
gym-DSSAT: a crop model turned into a Reinforcement Learning environment
Scalable Whitebox Attacks on Tree-based Models
Statistical evaluation of visual quality metrics for image denoising
Asymptotic Expansions of Smooth Rényi Entropies and Their Applications
Search For Deep Graph Neural Networks
Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning
Reconfiguration of 3D Crystalline Robots Using O(log n) Parallel Moves
Evolutionary Profiles for Protein Fitness Prediction
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation
Testing the Limits of Machine Translation from One Book
Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms
Method development for lowering supply temperatures in existing buildings using minimal building information and demand measurement data
Funnel-based Reachability Control of Unknown Nonlinear Systems using Gaussian Processes
Computational stability analysis of PDEs with integral terms using the PIE framework
GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders
Prolog Technology Reinforcement Learning Prover
Sequential Voronoi diagram calculations using simple chemical reactions
U2++ MoE: Scaling 4.7x parameters with minimal impact on RTF
Receiver Design for OTFS with Fractionally Spaced Sampling Approach
A Continuous-Time Perspective on Monotone Equation Problems
A Span-based Model for Extracting Overlapping PICO Entities from RCT Publications
Rethinking Robust Adversarial Concept Erasure in Diffusion Models
On the Merging of Domain-Specific Heterogeneous Ontologies using Wordnet and Web Pattern-based Queries
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events
An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation
The Riemannian Convex Bundle Method
The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
Transportation Polytope and its Applications in Parallel Server Systems
Social learning across symbolic cultural barriers in non-human cultures
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Distributed Approximation Algorithms for Weighted Shortest Paths
Do Digital Jobs Need an Image Filter? Factors Contributing to Negative Attitudes
Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions
Strawberry Robotic Operation Interface: An Open-Source Device for Collecting Dexterous Manipulation Data in Robotic Strawberry Farming
Social Media Isn't Just Instagram: A Youth-Envisioned Platform for Meaningful Social Connections
The Mathematical Specification of the Statebox Language
Face-GPS: A Comprehensive Technique for Quantifying Facial Muscle Dynamics in Videos
Robust Output Feedback Consensus for Networked Identical Nonlinear Negative-Imaginary Systems
Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations
Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning
Learning event-driven switched linear systems
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers
Convergence of a spatial semidiscretization for a three-dimensional stochastic Allen-Cahn equation with multiplicative noise
Semantic-driven Configuration of Internet of Things Middleware