yusuke1997/dblp-id-title huggingface dataset:
MTLComb: multi-task learning combining regression and classification tasks for joint feature selection
Spectral Graph Convolutions for Population-based Disease Prediction
Enumeration of spatial manipulators by using the concept of Adjacency Matrix
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
On the Graver basis of block-structured integer programming
MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering
Two New Impossibility Results for the Random Assignment Problem
Hard to Cheat: A Turing Test based on Answering Questions about Images
On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle
Secure and Green Rate-Splitting Multiple Access Integrated Sensing and Communications
StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space
Autonomous Social Distancing in Urban Environments using a Quadruped Robot
Separating Overlapping Tissue Layers from Microscopy Images
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks
In-cell Discontinuous Reconstruction path-conservative methods for non conservative hyperbolic systems - Second-order extension
Reference-Free Iterative Learning Model Predictive Control with Neural Certificates
JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling
Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction
Geometry preserving numerical methods for physical systems with finite-dimensional Lie algebras
Model-free practical PI-Lead control design by ultimate sensitivity principle
Towards Open Intent Discovery for Conversational Text
Open-Source Protein Language Models for Function Prediction and Protein Design
Development of a Compact High-Voltage Functional Electrical Stimulation Device
A Comparative Analysis of Deep Reinforcement Learning-based xApps in O-RAN
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
Resolving gas bubbles ascending in liquid metal from low-SNR neutron radiography images
CE-RS-SBCIT A Novel Channel Enhanced Hybrid CNN Transformer with Residual, Spatial, and Boundary-Aware Learning for Brain Tumor MRI Analysis
A Social Welfare Maximization Mechanism for Blockchain Storage
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content
A Critical Analysis of Biased Parsers in Unsupervised Parsing
Predict. Optimize. Revise. On Forecast and Policy Stability in Energy Management Systems
Achieving multi uav best viewpoint coordination in obstructed environments
Survival Cluster Analysis
On the incorporation of interval-valued fuzzy sets into the Bousi-Prolog system: declarative semantics, implementation and applications
A Deep Convolutional Neural Network for Lung Cancer Diagnostic
On Lattices of Regular Sets of Natural Integers Closed under Decrementation
Negative Database for Data Security
Exploring In-Context Learning for Frame-Semantic Parsing
ImplicitCell: Resolution Cell Modeling of Joint Implicit Volume Reconstruction and Pose Refinement in Freehand 3D Ultrasound
AdaX: Adaptive Gradient Descent with Exponential Long Term Memory
Bidirectional Normalizing Flow: From Data to Noise and Back
Intuitive Shape Editing in Latent Space
Planar Graphical Models which are Easy
Optimizing Leaky Private Information Retrieval Codes to Achieve {O}(log K) Leakage Ratio Exponent
Flow Intelligence: Robust Feature Matching via Temporal Signature Correlation
RB-SCD: A New Benchmark for Semantic Change Detection of Roads and Bridges in Traffic Scenes
Bias-variance tradeoff in MIMO channel estimation
Competitive Equilibria in Combinatorial Exchanges with Financially Constrained Buyers: Computational Hardness and Algorithmic Solutions
The Limits of Price Discrimination Under Privacy Constraints
An Algorithm to Reduce the Time Complexity of Earliest Deadline First Scheduling Algorithm in Real-Time System
Learning to Look: Cognitive Attention Alignment with Vision-Language Models
Two-Grid Deflated Krylov Methods for Linear Equations
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only
A Versatile Foundation Model for AI-enabled Mammogram Interpretation
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Hybrid Data Mining Technique for Knowledge Discovery from Engineering Materials' Data sets
Optical TEMPEST
Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
Trajectory Grouping Structures
3S-Attack: Spatial, Spectral and Semantic Invisible Backdoor Attack Against DNN Models
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
Solving the "Isomorphism of Polynomials with Two Secrets" Problem for all Pairs of Quadratic Forms
Learning Non-Linear Feature Maps, With An Application To Representation Learning
DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement
Selecting a number of voters for a voting ensemble
Function Space Pooling For Graph Convolutional Networks
Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces
Beyond k-induction: Learning from Counterexamples to Bidirectionally Explore the State Space
CompassNav: Steering From Path Imitation To Decision Understanding In Navigation
QwT-v2: Practical, Effective and Efficient Post-Training Quantization
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
A computational framework of human values for ethical AI
Conversation Networks
FirecREST v2: lessons learned from redesigning an API for scalable HPC resource access
FaceEraser: Removing Facial Parts for Augmented Reality
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Implementing Cumulative Functions with Generalized Cumulative Constraints
When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
Subset Labeled LDA for Large-Scale Multi-Label Classification
Improved, Deterministic Smoothing for L1 Certified Robustness
An Asynchronous Parallel Randomized Kaczmarz Algorithm
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis
Evolution Towards 5G Multi-tier Cellular Wireless Networks: An Interference Management Perspective
Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency
How to effectively train an ensemble of Faster R-CNN object detectors to quantify uncertainty
Legal Prompt Engineering for Multilingual Legal Judgement Prediction
Secrets in Computing Optical Flow by Convolutional Networks
Synthetic Data Generation for Screen Time and App Usage
Contextual Scene Augmentation and Synthesis via GSACNet
ADIR: Adaptive Diffusion for Image Reconstruction
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations
OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology
Roundtrip: A Deep Generative Neural Density Estimator
SAD: Segment Any RGBD
Weak Supervision and Referring Attention for Temporal-Textual Association Learning
A Systematic Survey of Molecular Pre-trained Models
Global-Position Tracking Control of 3-D Bipedal Walking via Virtual Constraint Design and Multiple Lyapunov Analysis
Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation
Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
On-Device Federated Learning via Blockchain and its Latency Analysis
Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks
Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium
Non-portability of Algorithmic Fairness in India
Validation Requirements for AI-based Intervention-Evaluation in Aging and Longevity Research and Practice
Cross-View Image Set Geo-Localization
k-core decomposition: a tool for the visualization of large scale networks
Tight Bounds for Consensus Systems Convergence
Cabin: Confining Untrusted Programs within Confidential VMs
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer
Towards a Perceptual Model for Estimating the Quality of Visual Speech
Effectiveness of machining equipment user guides: A comparative study of augmented reality and traditional media
Hitting minors on bounded treewidth graphs. I. General upper bounds
Detection, Recognition and Pose Estimation of Tabletop Objects
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
Rethinking the transfer learning for FCN based polyp segmentation in colonoscopy
Only Encode Once: Making Content-based News Recommender Greener
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements
Boson sampling discrete solitons by quantum machine learning
The Risks of Scientific Gerontocracy
Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification
Dynamics of drug trafficking: Results from a simple compartmental model
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
Preferential Multi-Objective Bayesian Optimization for Drug Discovery
Fast Longest Common Extensions in Small Space
'Cyber security is a dark art': The CISO as soothsayer
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models
LLM Chemistry Estimation for Multi-LLM Recommendation
Access Structures Determined by Uniform Polymatroids
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1
Sensor-Based Safety-Critical Control using an Incremental Control Barrier Function Formulation via Reduced-Order Approximate Models
Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task
Intent-Driven UAM Rescheduling
Learnable PINs: Cross-Modal Embeddings for Person Identity
Identification of Probability weighted ARX models with arbitrary domains
Tutorial-Cum-Survey on Semantic and Goal- Oriented Communication: Research Landscape, Challenges, and Future Directions
Probabilistic RRT Connect with intermediate goal selection for online planning of autonomous vehicles
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models
SCNet: A Neural Network for Automated Side-Channel Attack
MR image reconstruction using the learned data distribution as prior
Harnessing Diffusion Models for Visual Perception with Meta Prompts
Count-based Novelty Exploration in Classical Planning
RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset
Quotations, Coreference Resolution, and Sentiment Annotations in Croatian News Articles: An Exploratory Study
Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study
Universal representation by Boltzmann machines with Regularised Axons
Bounding extremal functions of forbidden 0-1 matrices using (r, s)-formations
Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems
Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization
Hidden Markov models are recurrent neural networks: A disease progression modeling application
A Tale of Three Datasets: Towards Characterizing Mobile Broadband Access in the United States
Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning
Revolutionizing Cyber Threat Detection with Large Language Models
NESS: Learning Node Embeddings from Static SubGraphs
Image and Video Mining through Online Learning
How did the discussion go: Discourse act classification in social media conversations
Multi-agent systems and decentralized artificial superintelligence
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Channel Quantization for Physical Layer Network-Coded Two-Way Relaying
A Comparative Case Study of Code Reuse With Language Oriented Programming
Manipulation of granular materials by learning particle interactions
Implementation of Simplex Channels in the Blom's Keys Pre-Distribution Scheme
In Search of Effectful Dependent Types
VistaDepth: Frequency Modulation With Bias Reweighting For Enhanced Long-Range Depth Estimation
The Synthetic Mirror - Synthetic Data at the Age of Agentic AI
ff-bifbox: A scalable, open-source toolbox for bifurcation analysis of nonlinear PDEs
AniRes2D: Anisotropic Residual-enhanced Diffusion for 2D MR Super-Resolution
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
RegD: Hierarchical Embeddings via Distances over Geometric Regions
Physics Informed Neural Networks for heat conduction with phase change
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Subgoaling Relaxation-based Heuristics for Numeric Planning with Infinite Actions
Reducing the Computation of Linear Complexities of Periodic Sequences over GF(p m )
Optimizing the Homogeneity and Efficiency of an SOEC Based on Multiphysics Simulation and Data-driven Surrogate Model
Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions
Recent development in kinetic theory of granular materials: analysis and numerical methods
Towards a Unified View of Large Language Model Post-Training
Jointly modelling the evolution of community structure and language in online extremist groups
SimplyMime: A Control at Our Fingertips
RadRotator: 3D Rotation of Radiographs with Diffusion Models
Sign and Relevance learning
Induction of High-level Behaviors from Problem-solving Traces using Machine Learning Tools
The membership problem for constant-sized quantum correlations is undecidable
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
RPKT: Learning What You Don't - Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Design of a sensing module for a kiwifruit flower pollinator robot
Continual Learning in Neural Networks
Virtual Smartphone: High Fidelity Interaction with Proxy Objects in Virtual Reality
Experiences with OpenMP in tmLQCD
Software Engineering with Process Algebra: Modelling Client / Server Architectures
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification
Interaction Topological Transformer for Multiscale Learning in Porous Materials
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
Beating the market with a bad predictive model
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
Age of Information and Energy Consumption in IoT: an Experimental Evaluation
Implicit Variational Inference: the Parameter and the Predictor Space
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Combining Retrieval and Classification: Balancing Efficiency and Accuracy in Duplicate Bug Report Detection
The Truth is Out There: Investigating Conspiracy Theories in Text Generation
Efficient Nearest-Neighbor Search for Dynamical Systems with Nonholonomic Constraints
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Lower Bounds on Pauli Manipulation Detection Codes
CESMA: Centralized Expert Supervises Multi-Agents
Enhancing PM2.5 Data Imputation and Prediction in Air Quality Monitoring Networks Using a KNN-SINDy Hybrid Model
Data-driven Modality Fusion: An AI-enabled Framework for Large-Scale Sensor Network Management
Concurrent aggregate queries
On the Relation of External and Internal Feature Interactions: A Case Study
A 9/7-Approximation Algorithm for Graphic TSP in Cubic Bipartite Graphs
TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
On the Structure of the Linear Codes with a Given Automorphism
On the Uniqueness Problem for Quadrature Domains
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks
A High Performance Memory Database for Web Application Caches
On the normality of Boolean quartics
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
Sustainable Edge Computing: Challenges and Future Directions
Understanding the World's Museums through Vision-Language Reasoning
Cryptographically Secure Multi-Tenant Provisioning of FPGAs
Pseudo Channel: Time Embedding for Motor Imagery Decoding
Sensing Aided Covert Communications: Turning Interference into Allies
Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
Uniform error estimates for artificial neural network approximations for heat equations
Sleeping Beauties Cited in Patents: Is there also a Dormitory of Inventions?
F-LOAM: Fast LiDAR Odometry And Mapping
A Reliable Robot Motion Planner in Complex Real-world Environments via Action Imagination
Graph-based Impact Analysis of Cyber-Attacks on Behind-the-Meter Infrastructure
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network
I/O Efficient Algorithms for Matrix Computations
Optimal Monitoring and Mitigation of Systemic Risk in Financial Networks
Ramsey Goodness of paths and unbalanced graphs
Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset
Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging
Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System
Serious Play to Encourage Socialization between Unfamiliar Children Facilitated by a LEGO Robot
Performance Bounds for Sparse Signal Reconstruction with Multiple Side Information
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery
Variational Bayesian surrogate modelling with application to robust design optimisation
Multi-Agent Reinforcement Learning for Heterogeneous Satellite Cluster Resources Optimization
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
MT: Multi-Perspective Feature Learning Network for Scene Text Detection
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies
BATIS: Bootstrapping, Autonomous Testing, and Initialization System for Quantum Dot Devices
On $(\le k)$-edges, crossings, and halving lines of geometric drawings of K n
Applying Back Propagation Algorithm and Analytic Hierarchy Process to Environment Assessment
Design of a UE5-based digital twin platform
Optimal, Non-pipelined Reduce-scatter and Allreduce Algorithms
Understanding Individual Decision-Making in Multi-Agent Reinforcement Learning: A Dynamical Systems Approach
Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem
Turbidity Control in Sedimentation Columns by Direction Dependant Models
Neural Network Alternatives to Convolutive Audio Models for Source Separation
Towards Unified Neurosymbolic Reasoning on Knowledge Graphs
Evaluation Metrics for Misinformation Warning Interventions: Challenges and Prospects
Relative compression of trajectories
Siamese Learning Visual Tracking: A Survey
Preconditioning correction equations in Jacobi-Davidson type methods for computing partial singular value decompositions of large matrices
Weak colored local rules for planar tilings
UniRel-R1: RL-tuned LLM Reasoning for Knowledge Graph Relational Question Answering
How can design help enhance trust calibration in public autonomous vehicles?
On inefficiently connecting temporal networks
Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation
Heuristics with Performance Guarantees for the Minimum Number of Matches Problem in Heat Recovery Network Design
A class of problems of NP to be worth to search an efficient solving algorithm
The dynamics of opinion expression
User Equilibrium Route Assignment for Microscopic Pedestrian Simulation
An optimal method for high order mixed derivatives of bivariate functions
Quantum Subgradient Estimation for Conditional Value-at-Risk Optimization
DynamicEarth: How Far are We from Open-Vocabulary Change Detection?
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
More than words: Advancements and challenges in speech recognition for singing
The Single Machine Total Weighted Tardiness Problem - Is it (for Metaheuristics) a Solved Problem ?
Knowledge Management in the Companion Cognitive Architecture
Baby Robot: Improving the Motor Skills of Toddlers
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation
On the Optimality of Secure Communication Without Using Cooperative Jamming
A conservative relaxation Crank-Nicolson finite element method for the Schrödinger-Poisson equation
Deciding Connectivity in Symmetric Semi-Algebraic Sets
Exponential weight averaging as damped harmonic motion
Domain-adversarial neural networks to address the appearance variability of histopathology images
Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis
Normal and Atypical Mitosis Image Classifier using Efficient Vision Transformer
Solving Stochastic Optimization by Newton-type methods with Dimension-Adaptive Sparse Grid Quadrature
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
Correction Trees as an Alternative to Turbo Codes and Low Density Parity Check Codes
Finding polynomial roots by dynamical systems - a case study
Electric Vehicle Charging Load Forecasting: An Experimental Comparison of Machine Learning Methods
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods
Towards dialogue based, computer aided software requirements elicitation
Early detection of the advanced persistent threat attack using performance analysis of deep learning
EmojiDiff: Advanced Facial Expression Control with High Identity Preservation in Portrait Generation