yusuke1997/dblp-id-title huggingface dataset:
Residual resampling-based physics-informed neural network for neutron diffusion equations
Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
All-Instances Restricted Chase Termination: The Guarded Case
Physics constrained learning of stochastic characteristics
An algorithmic weakening of the Erdős-Hajnal conjecture
Power-scaled Bayesian Inference with Score-based Generative Models
Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence
Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management
Does entity abstraction help generative Transformers reason?
A Taxonomic Approach to Understanding Emerging Blockchain Identity Management Systems
STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
Simultaneous Neural Machine Translation using Connectionist Temporal Classification
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing
Opponent Shaping in LLM Agents
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Interpretable CNNs
Multivariate growth and cogrowth
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations
Multi-Agent Reinforcement Learning with Common Policy for Antenna Tilt Optimization
Towards Robust Deep Neural Networks
SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
Krasnoselskij-type algorithms for variational inequality problems and fixed point problems in Banach spaces
On Synthesis of Reversible Circuits with Small Number of Additional Inputs Consisting of NOT, CNOT and 2-CNOT Gates
Integrating Generative AI in BIM Education: Insights from Classroom Implementation
Symmetric Boolean Function with Maximum Algebraic Immunity on Odd Number of Variables
A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System
Cautious Active Clustering
A Note on Polychromatic Colorings of Shift-Chains
Prediction Model For Wordle Game Results With High Robustness
Speech-to-Speech Translation For A Real-world Unwritten Language
World4Omni: A Zero-Shot Framework from Image Generation World Model to Robotic Manipulation
Safe and Efficient Online Convex Optimization with Linear Budget Constraints and Partial Feedback
Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence
Analysis of Location Management Schemes for MANET using Synthetic Mobility Models
Citation network applications in a scientific co-authorship recommender system
Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping
Swarm: Cost-Efficient Video Content Distribution with a Peer-to-Peer System
Geometric decoding of subspace codes with explicit Schubert calculus applied to spread codes
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation
The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis
Decision-Feedback Detection Strategy for Nonlinear Frequency-Division Multiplexing
Numerical Construction of LISS Lyapunov Functions under a Small Gain Condition
A random matrix perspective of cultural structure
Local optimality of a coherent feedback scheme for distributed entanglement generation: the idealized infinite bandwidth limit
An Optimization Driven Link SINR Assurance in RIS-assisted Indoor Networks
Design Analysis of an Innovative Parallel Robot for Minimally Invasive Pancreatic Surgery
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
Privately Estimating a Gaussian: Efficient, Robust and Optimal
The Far Side of DNS Amplification: Tracing the DDoS Attack Ecosystem from the Internet Core
Hybrid Crossbar Architecture for a Memristor Based Cache
Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars
Multi-Task Learning Approach for Unified Biometric Estimation from Fetal Ultrasound Anomaly Scans
Discrete Superconvergence Analysis for Quantum Magnus Algorithms of Unbounded Hamiltonian Simulation
Variant Codes Based on A Special Polynomial Ring and Their Fast Computations
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages
The Colombian Scientific Elite - Science Mapping and Bibliometric Outlook
A Survey on Complex Tasks for Goal-Directed Interactive Agents
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Gourds: a sliding-block puzzle with turning
Delays and the Capacity of Continuous-time Channels
Transferability of Graph Neural Networks using Graphon and Sampling Theories
UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model
Tamperproof IoT with Blockchain
Should All Proposals be Treated Equally in Object Detection?
Task Matters: Investigating Human Questioning Behavior in Different Household Service for Learning by Asking Robots
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization
Edge-preserving noise for diffusion models
ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
Leveraging Reviewer Experience in Code Review Comment Generation
Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection
An Empirical Study of Personalized Federated Learning
Persona Knowledge-Aligned Prompt Tuning Method for Online Debate
On the TVD property of second order methods for 2D scalar conservation laws
PAARS: Persona Aligned Agentic Retail Shoppers
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Jailbreaking the Text-to-Video Generative Models
Towards Structured Prediction in Bioinformatics with Deep Learning
Reinforcement Learning from Multiple Sensors via Joint Representations
Double-Exponential Increases in Inference Energy: The Cost of the Race for Accuracy
Normalizer circuits and a Gottesman-Knill theorem for infinite-dimensional systems
The taming of recurrences in computability logic through cirquent calculus
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior
Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals
Set-Membership Inference Attacks using Data Watermarking
How stable are Transferability Metrics evaluations?
A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication Networks
Is the brain macroscopically linear? A system identification of resting state dynamics
Fronthaul-Constrained Cloud Radio Access Networks: Insights and Challenges
Tag-Set-Sequence Learning for Generating Question-Answer Pairs
Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data
The Biological Origin of Linguistic Diversity
InterMind: A Doctor-Patient-Family Interactive Depression Assessment System Empowered by Large Language Models
Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models
Orthogonal Approximate Message-Passing for Spatially Coupled Systems
Randomized Krylov methods for inverse problems
Resolution-Based Distillation for Efficient Histology Image Classification
PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks
Multiple Line-based Intra Prediction for High Efficiency Video Coding
Average-reward reinforcement learning in semi-Markov decision processes via relative value iteration
Algorithms for Computing Triangular Decompositions of Polynomial Systems
Fast Replica Exchange Stochastic Gradient Langevin Dynamics
Affine characterizations of minimum and mode-dependent dwell-times for uncertain linear switched systems
A Toolchain for Streaming Dataflow Accelerator Designs for Big Data Analytics: Defining an IR for Composable Typed Streaming Dataflow Designs
Design of Trusted Market Platforms using Permissioned Blockchains and Game Theory
Roadmap Towards Responsible AI in Crisis Resilience Management
Image Reconstruction from Events. Why learn it?
BC-ADMM: An Efficient Non-convex Constrained Optimizer with Robotic Applications
Large Reasoning Models Learn Better Alignment from Flawed Thinking
Possible Futures for Cloud Cost Models
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Reduce and Reconstruct: Improving Low-resource End-to-end ASR Via Reconstruction Using Reduced Vocabularies
Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets
A Novel Quaternary Decoder Design Utilizing 32nm CMOS and GNRFET Technology for Enhanced High-Density Memory Applications
DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving
GACT: Activation Compressed Training for General Architectures
Sample-Optimal Quantum Estimators for Pure-State Trace Distance and Fidelity via Samplizer
Quantum circuit synthesis with qudit phase gadget method
Knowledge Graph-extended Retrieval Augmented Generation for Question Answering
Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation
SaFL: Sybil-aware Federated Learning with Application to Face Recognition
Heuristics for Customer-focused Ride-pooling Assignment
Foundational Large Language Models for Materials Research
Autonomous Situational Awareness for Robotic Swarms in High-Risk Environments
Cross-Architecture Distillation Made Simple with Redundancy Suppression
Artificial Intelligence in Brazilian News: A Mixed-Methods Analysis
Automaton semigroup constructions
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
Demystifying Misconceptions in Social Bots Research
Age-Optimal Multi-Channel-Scheduling under Energy and Tolerance Constraints
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators
MEGen: Generative Backdoor in Large Language Models via Model Editing
Encoding fairness in a synchronous concurrent program algebra: extended version with proofs
Fast Exact Computation of Expected HyperVolume Improvement
A Time-Efficient Quantum Walk for 3-Distinctness Using Nested Updates
Talking to Data: Designing Smart Assistants for Humanities Databases
Hierarchical Evidence and Belief Functions
Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs
Extraction of hidden information by efficient community detection in networks
BOW: Bayesian Optimization over Windows for Motion Planning in Complex Environments
Applying Deep Learning to the Newsvendor Problem
AI Flow: Perspectives, Scenarios, and Approaches
BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing
Inverse Problems of Trapped Objects
Statistical Hardware Design With Multi-model Active Learning
Challenges and Opportunities for Inclusive Space Missions
Generalized Cayley Graphs and Cellular Automata over them
Chasing Accuracy and Privacy, and Catching Both: A Literature Survey on Differentially Private Histogram Publication
How to Obtain Computational Completeness in P Systems with One Catalyst
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
Fast Sampling Based Sketches for Tensors
Fair Transfer of Multiple Style Attributes in Text
Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification
ENTP: Enhancing Low-Quality SFT Data via Neural-Symbolic Text Purge-Mix
Data Separation by Sparse Representations
Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey
On-the-Fly Syntax Highlighting using Neural Networks
Causal Understanding For Video Question Answering
Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation
Relative Entropy and Catalytic Relative Majorization
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection
Certificate Linking and Caching for Logical Trust
Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach
What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation?
Real-time Power System Simulation with Hardware Devices through DNP3 in Cyber-Physical Testbed
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-relational Knowledge Graphs
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
An adaptive finite element DtN method for the open cavity scattering problems
Data-driven Protection of Transformers, Phase Angle Regulators, and Transmission Lines in Interconnected Power Systems
State Estimation for Continuous-Discrete-Time Nonlinear Stochastic Systems
Managing travel demand: Location recommendation for system efficiency based on mobile phone data
ModernBERT + ColBERT: Enhancing biomedical RAG through an advanced re-ranking retriever
Efficient Multiple Constraint Acquisition
Convergence of a Godunov scheme for degenerate conservation laws with BV spatial flux and a study of Panov type fluxes
System for 3D Acquisition and 3D Reconstruction using Structured Light for Sewer Line Inspection
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting
Estimating Causal Direction and Confounding of Two Discrete Variables
Towards actionable hypotension prediction - predicting catecholamine therapy initiation in the intensive care unit
Unsupervised Accent Adaptation Through Masked Language Model Correction Of Discrete Self-Supervised Speech Units
A Meta-Theory of Boundary Detection Benchmarks
Mitigating Shadows in Lidar Scan Matching using Spherical Voxels
AI as a Communication Facilitator: Shared Decision-Making Inspired Strategies for Bipolar Disorder Diagnosis and Treatment
Designing a Better Asymmetric VQGAN for StableDiffusion
Prometheus: Infrastructure Security Posture Analysis with AI-generated Attack Graphs
ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential
GraphicBench: A Planning Benchmark for Graphic Design with Language Agents
Weighted diffusion LMP algorithm for distributed estimation in non-uniform noise conditions
Development of a data model to facilitate rapid Watershed Delineation
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models
Personal Health Knowledge Graphs for Patients
Doubly minimized Petz Renyi mutual information: Properties and operational interpretation from direct exponent
A systematic review of transfer learning based approaches for diabetic retinopathy detection
Inverse Reinforcement Learning from Summary Data
Discounted Adaptive Online Prediction
The stochastic bilevel continuous knapsack problem with uncertain follower's objective
Analysis of loss networks with routing
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture
Reducing Inference Energy Consumption Using Dual Complementary CNNs
Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval
Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps
On Wideness and Stability
Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
A Secure Sensor Fusion Framework for Connected and Automated Vehicles under Sensor Attacks
A New Approach to Speed up Combinatorial Search Strategies Using Stack and Hash Table
[Reproducibility Report] Explainable Deep One-Class Classification
MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training
Who Pays the RENT? Implications of Spatial Inequality for Prediction-Based Allocation Policies
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
ScalSALE: Scalable SALE Benchmark Framework for Supercomputers
Splitting methods with complex coefficients for linear and nonlinear evolution equations
First Hitting Diffusion Models
VR-based generation of photorealistic synthetic data for training hand-object tracking models
Spatiotemporal deep learning model for citywide air pollution interpolation and prediction
Convergent finite elements on arbitrary meshes, the WG method
Novel model-based heuristics for energy optimal motion planning of an autonomous vehicle using A
OPR-Miner: Order-preserving rule mining for time series
Simulating Viscous Fingering with a Timespace Method and Anisotropic Mesh Adaptation
Designs and codes in affine geometry
GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization
Boundary-Decoder network for inverse prediction of capacitor electrostatic analysis
Uncertainty quantification in load profiles with rising EV and PV adoption: the case of residential, industrial, and office buildings
Generative Semantic Communications: Principles and Practices
Global Rank Estimation
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking
SHRUMS: Sensor Hallucination for Real-time Underwater Motion Planning with a Compact 3D Sonar
Parameterized Eulerian Strong Component Arc Deletion Problem on Tournaments
Toward optimal-scaling DFT: stochastic Hartree theory in the thermodynamic and complete basis set limits at arbitrary temperature
Data-Driven Behaviour Estimation in Parametric Games
Chopin: An Open Source R-language Tool to Support Spatial Analysis on Parallelizable Infrastructure
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments
LEARNER: Learning Granular Labels from Coarse Labels using Contrastive Learning
All graph state verification protocols are composably secure
Soft Weighted Machine Unlearning
Unpaired Motion Style Transfer from Video to Animation
Consistent model selection in the spiked Wigner model via AIC-type criteria
Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
Barcodes as summary of objective function's topology
Optimization of mixing strategy in microalgal raceway ponds
Fast Prototyping Next-Generation Accelerators for New ML Models using MASE: ML Accelerator System Exploration
Backdoor Attacks on Vision Transformers
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction
The predictability of the Hirsch index evolution
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia
Public DNS Resolvers Meet Content Delivery Networks: A Performance Assessment of the Interplay
SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data
EqualMotion: Accessible Motion Capture for the Creative Industries
Designing for Robustness in Electric Grids via a General Effective Resistance Measure
Flexible Content Placement in Cache Networks using Reinforced Counters
Complexity of Combinatorial Market Makers
Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints
Self-Supervised Visual Place Recognition by Mining Temporal and Feature Neighborhoods
Testing Causality for High Dimensional Data
Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (2007)
Sampling Theorems for Shift-invariant Spaces, Gabor Frames, and Totally Positive Functions
Magnisketch Drone Control
Predicting Future Mosquito Habitats Using Time Series Climate Forecasting and Deep Learning
Structure-Aware Residual-Center Representation for Self-Supervised Open-Set 3D Cross-Modal Retrieval
Hierarchical Style-based Networks for Motion Synthesis
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models
Machine Learning for semi linear PDEs
Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
Smooth-edged Perturbations Improve Perturbation-based Image Explanations
Interactive Knowledge Distillation
VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking
"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
Measuring Agglomeration of Agglomerated Particles Pictures
The Homogeneity Indicator of Learners in Project-based Learning
snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazing
A Non-Ideal NOMA-based mmWave D2D Networks with Hardware and CSI Imperfections
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Advancing Reasoning in Large Language Models: Promising Methods and Approaches
cilantro: a lean, versatile, and efficient library for point cloud data processing
The structure of Renyi entropic inequalities
Friendship-based Cooperative Jamming for Secure Communication in Poisson Networks
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
Documenting Patterns of Exoticism of Marginalized Populations within Text-to-Image Generators
CurveFusion: Reconstructing Thin Structures from RGBD Sequences
SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)
Stability Analysis for Fast Settling Switched DPLL
Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction
Benchmarking Table Extraction from Heterogeneous Scientific Extraction Documents
Monolithic overlapping Schwarz preconditioners for nonlinear finite element simulations of laser beam welding processes
Latent ODEs for Irregularly-Sampled Time Series
Is Quantization a Deal-breaker? Empirical Insights from Large Code Models
Solution to Advanced Manufacturing Process Problems using Cohort Intelligence Algorithm with Improved Constraint Handling Approaches
On-line regression competitive with reproducing kernel Hilbert spaces
Deinsum: Practically I/O Optimal Multilinear Algebra
Data-driven Parametric Insurance Framework Using Bayesian Neural Networks
Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
Source-Guided Flow Matching
Optimizing Locally Differentially Private Protocols
Indoor 3D Video Monitoring Using Multiple Kinect Depth-Cameras
Distribution-based Bisimulation and Bisimulation Metric in Probabilistic Automata
Region-Specific Audio Tagging for Spatial Sound
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
Capacity-achieving Spatially Coupled Sparse Superposition Codes with AMP Decoding
A New Achievability Scheme for the Relay Channel
The tropical shadow-vertex algorithm solves mean payoff games in polynomial time on average
Learning ground states of quantum Hamiltonians with graph networks
Tight Differential Privacy Blanket for Shuffle Model
Caveat emptor: the risks of using big data for human development
A Parallel Algorithm to Test Chordality of Graphs
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings