yusuke1997/dblp-id-title huggingface dataset:
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation
Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation
External Electromagnetic Wave Excitation of a PreSynaptic Neuron Based on LIF model
Literature Review of Current Sustainability Assessment Frameworks and Approaches for Organizations
Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes
Comparing Process Calculi Using Encodings
Introduction to Network Games with Linear Best Responses
Probabilistically Safe Policy Transfer
Study on Image Filtering - Techniques, Algorithm and Applications
Time Asymptotics for a Critical Case in Fragmentation and Growth-Fragmentation Equations
New Compressed Indices for Multijoins on Graph Databases
Nonbinary Spatially-Coupled LDPC Codes on the Binary Erasure Channel
BIR-Adapter: A Low-Complexity Diffusion Model Adapter for Blind Image Restoration
SMIC: Semantic Multi-Item Compression based on CLIP dictionary
Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
IVOA Recommendation: DALI: Data Access Layer Interface Version 1.0
Testing Reactive Systems Using Behavioural Programming, a Model Centric Approach
Survey on Deep Learning Techniques for Person Re-Identification Task
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision Making
Structured Dialogue System for Mental Health: An LLM Chatbot Leveraging the PM+ Guidelines
Diffusion Model-Based Video Editing: A Survey
Restless reachability in temporal graphs
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference
Sharpness-Aware Minimization with Z-Score Gradient Filtering for Neural Networks
A New Classification of Technologies
Superstructure Optimization with Embedded Neural Networks for Sustainable Aviation Fuel Production
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI
A Distributed Primal-Dual Method for Constrained Multi-agent Reinforcement Learning with General Parameterization
GenCAD-3D: CAD Program Generation using Multimodal Latent Space Alignment and Synthetic Dataset Balancing
Serial-parallel Multi-Scale Feature Fusion for Anatomy-Oriented Hand Joint Detection
Information Centric Networking in the IoT: Experiments with NDN in the Wild
Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data
Direct Domain Decomposition Method (D3M) for Finite Element Electromagnetic Computations
Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
Active flux methods for hyperbolic conservation laws - flux vector splitting and bound-preservation: Two-dimensional case
Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression
Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection
Implementation and Evaluation of Measurement-Based Admission Control Schemes Within a Converged Networks QoS Management Framework
srsLTE: An Open-Source Platform for LTE Evolution and Experimentation
Fair Balance: Mitigating Machine Learning Bias Against Multiple Protected Attributes With Data Balancing
What Sensors See, What People Feel: Exploring Subjective Collaboration Perception in Mixed Reality
Report prepared by the Montreal AI Ethics Institute In Response to Mila's Proposal for a Contact Tracing App
Deep Neural Network Approach to Forward-Inverse Problems
Hierarchical Feature Aggregation Networks for Video Action Recognition
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning
On the choice of optimization norm for Anderson acceleration of the Picard iteration for Navier-Stokes equations
On the Automorphism Group of a Binary Self-dual [120, 60, 24] Code
A Benchmark for Point Clouds Registration Algorithms
Two Birds and One Stone: Gaussian Interference Channel with a Shared Out-of-Band Relay
Analyzing Uplink SIR and Rate in Massive MIMO Systems Using Stochastic Geometry
Super-Resolved Retinal Image Mosaicing
Logical Modelling of Physarum Polycephalum
Topological Deep Learning: Classification Neural Networks
Computing Minimal Sets on Propositional Formulae I: Problems & Reductions
Asynchronous Sensor System for Collecting Detailed Data on the Environment and Resource Consumption in Smart City
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization
Deep CNN based Channel Estimation for mmWave Massive MIMO Systems
A Family of Simplified Geometric Distortion Models for Camera Calibration
Appearance-Preserving 3D Convolution for Video-based Person Re-identification
Reduction of CRB in Arbitrary Pre-designed Arrays Using Alter an Element Position
Maximum bound principle and original energy dissipation of arbitrarily high-order rescaled exponential time differencing Runge-Kutta schemes for Allen-Cahn equations
ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs
Skeleton-based Action Recognition of People Handling Objects
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
Synergy between 6G and AI: Open Future Horizons and Impending Security Risks
Stabilizing Server-Based Storage in Byzantine Asynchronous Message-Passing Systems
Numerical computation of generalized Wasserstein distances with applications to traffic model analysis
Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction
Fast Algorithms for Delta-Separated Sparsity Projection
Benchmarking Knowledge Boundary for Large Language Model: A Different Perspective on Model Evaluation
DINA: A Dual Defense Framework Against Internal Noise and External Attacks in Natural Language Processing
Scaling Up Deliberation for Multilingual ASR
Reframing Generative Models for Physical Systems using Stochastic Interpolants
PulseFi: A Low Cost Robust Machine Learning System for Accurate Cardiopulmonary and Apnea Monitoring Using Channel State Information
Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction
Assessing the impacts of convening experts: a bibliometric analysis of a research program spanning four decades
Targeted Greybox Fuzzing with Static Lookahead Analysis
Finite strain porohyperelasticity: An asymptotic multiscale ALE-FSI approach supported by ANNs
AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth
QianfanHuijin Technical Report: A Novel Multi-Stage Training Paradigm for Finance Industrial LLMs
Consensus dynamics on temporal hypergraphs
ColA: Collaborative Adaptation with Gradient Learning
Why Business Adoption of Quantum and AI Technology Must Be Ethical
The BCH Family of Storage Codes on Triangle-Free Graphs is of Unit Rate
GPU-Initiated Networking for NCCL
Fife's Theorem for (7/3)-Powers
DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images
Semantic Reformulation Entropy for Robust Hallucination Detection in QA Tasks
MOSCARD - Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events
Developing synthetic microdata through machine learning for firm-level business surveys
Thinkless: LLM Learns When to Think
Representation in large language models
SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents
Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining
Characterization of Plotkin-optimal two-weight codes over finite chain rings and related applications
On the Characterization of 1-sided error Strongly-Testable Graph Properties for bounded-degree graphs, including an appendix
Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development
Multifidelity Kolmogorov-Arnold Networks
A Modified LSB Technique of Digital Watermarking in Spatial Domain
Data-Driven Upper Bounds on Channel Capacity
Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement
Immersive Technologies in Virtual Companions: A Systematic Literature Review
rfPG: Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration
Improved Learning Bounds for Branch-and-Cut
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs
Synthetic Photovoltaic and Wind Power Forecasting Data
JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows
StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model
An SDN Approach for an Energy Efficient Heterogeneous Communication Network in Disaster Scenarios
AURA: Agentic Upskilling via Reinforced Abstractions
No Data, No Optimization: A Lightweight Method To Disrupt Neural Networks With Sign-Flips
Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
Visible Light Communication based Vehicle Localization and Pose Estimation
Comparative Analysis of the Land Use and Land Cover Changes in Different Governorates of Oman using Spatiotemporal Multi-spectral Satellite Data
Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis
OASIS: Automated Assessment of Urban Pedestrian Paths at Scale
Cubing for Tuning
Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision
Predicting Lung Cancer Patient Prognosis with Large Language Models
F-ViTA: Foundation Model Guided Visible to Thermal Translation
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring
VoxBlink: X-Large Speaker Verification Dataset on Camera
Sparsity in neural networks can improve their privacy
Localized Forest Fire Risk Prediction: A Department-Aware Approach for Operational Decision Support
Understanding Inconsistent State Update Vulnerabilities in Smart Contracts
Mathematics of learning
Contributions to Robust and Efficient Methods for Analysis of High Dimensional Data
A study on Channel Popularity in Twitch
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?
KITE: A Kernel-based Improved Transferability Estimation Method
Relay Channels with Confidential Messages
Multi-level reversible encryption for ECG signals using compressive sensing
A novel algorithm can generate data to train machine learning models in conditions of extreme scarcity of real world data
On Partial Shape Correspondence and Functional Maps
On the Existence of Fair Allocations for Goods and Chores under Dissimilar Preferences
Characterisations of Intersection Graphs by Vertex Orderings
Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space
A Novel Partitioned Approach for Reduced Order Model - Finite Element Model (ROM-FEM) and ROM-ROM Coupling
TOFRA: Throughput Optimal Flow Rate Allocation with Bounded Delay for Random Access Wireless Mesh Networks
Improve LLM-based Automatic Essay Scoring with Linguistic Features
An Open source Implementation of ITU-T Recommendation P.808 with Validation
Ultimate Intelligence Part II: Physical Measure and Complexity of Intelligence
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
MatQnA: A Benchmark Dataset for Multi-modal Large Language Models in Materials Characterization and Analysis
Transformation From Legal-marking Set to Admissible-marking Set of Petri Nets With Uncontrollable Transitions
Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks
Enhancing Underwater Navigation through Cross-Correlation-Aware Deep INS/DVL Fusion
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers
Influence of Resampling on Accuracy of Imbalanced Classification
On the stability of θ-methods for DDEs and PDDEs
A Formal Approach for the Development of Service-Oriented Applications
Neural Volume Rendering: NeRF And Beyond
Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation
Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
Surrogate Quantum Circuit Design for the Lattice Boltzmann Collision Operator
FT-MoE: Sustainable-learning Mixture of Experts Model for Fault-Tolerant Computing with Multiple Tasks
Revisiting Natural Gradient for Deep Networks
CodEval: Improving Student Success In Programming Assignments
Convolutional Spiking Neural Network for Image Classification
Stability of convergence rates: Kernel interpolation on non-Lipschitz domains
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather
An approximate analytical (structural) superposition in terms of two, or more, "alfa"-circuits of the same topology: Pt.1 - description of the superposition
Reduced Switching-Frequency Modulation Design for Model Predictive Control Based Modular Multilevel Converters
Towards Data Valuation via Asymmetric Data Shapley
Discontinuous and Smooth Depth Completion with Binary Anisotropic Diffusion Tensor
The Role of Language Models in Modern Healthcare: A Comprehensive Review
Data Clustering-Driven Neural Network for Intra Prediction
Cooperation with Complement is Better
If Multi-Agent Debate is the Answer, What is the Question?
Kalman Filtering for Precise Indoor Position and Orientation Estimation Using IMU and Acoustics on Riemannian Manifolds
A Critique of Keum-Bae Cho's Proof that P ⊊ NP
Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions
Light Weight Cryptographic Address Generation Using System State Entropy Gathering for IPv6 Based MANETs
Distilling Multi-view Diffusion Models into 3D Generators
Lattice-based public key encryption with equality test in standard model, revisited
Provably Secure Networks: Methodology and Toolset for Configuration Management
Eliminating Negative Occurrences of Derived Predicates from PDDL Axioms
Applying Artifical Neural Networks To Predict Nominal Vehicle Performance
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
MMDetection: Open MMLab Detection Toolbox and Benchmark
Sequential Routing Framework: Fully Capsule Network-based Speech Recognition
Structured Interactive Music Scores
Policy Gradient from Demonstration and Curiosity
Modeling online adaptive navigation in virtual environments based on PID control
Interpretable Low-Dimensional Modeling of Spatiotemporal Agent States for Decision Making in Football Tactics
Report on Data Quality in Biobanks: Problems, Issues, State-of-the-Art
Quantum algebra in R: the weyl package
Persistent Homology for Breast Tumor Classification using Mammogram Scans
Data Augmentation in Training CNNs: Injecting Noise to Images
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection
Reduced Order Data-driven Twin Models for Nonlinear PDEs by Randomized Koopman Orthogonal Decomposition and Explainable Deep Learning
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning
Scaling Laws for Data Poisoning in LLMs
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Do Mutable Variables Have Reference Types?
Hiding in Plain Sight: An IoT Traffic Camouflage Framework for Enhanced Privacy
V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors
A fast wavefield evaluation method using a modified proxy-surface accelerated interpolative decomposition for scattering problems in two dimensions
Prompt Optimization of Large Language Model for Interactive Tasks without Gradient and Demonstrations
Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle
The Well Tempered Lasso
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization
Looking Beyond Visible Cues: Implicit Video Question Answering via Dual-Clue Reasoning
DISCOMAX: A Proximity-Preserving Distance Correlation Maximization Algorithm
Outer Bounds on the Secrecy Capacity Region of the 2-user Z Interference Channel With Unidirectional Transmitter Cooperation
German Phoneme Recognition with Text-to-Phoneme Data Augmentation
Physiological accuracy in simulating refractory cardiac tissue: the volume-averaged bidomain model vs. the cell-based EMI model
Self-training superconducting neuromorphic circuits using reinforcement learning rules
Scheme-Theoretic Approach to Computational Complexity. IV. A New Perspective on Hardness of Approximation
Proceedings of the 3rd Annual International Applied Category Theory Conference 2020, ACT 2020, Cambridge, USA, 6-10th July 2020
Object Hider: Adversarial Patch Attack Against Object Detectors
Trans4E: Link Prediction on Scholarly Knowledge Graphs
SARGAN: Spatial Attention-based Residuals for Facial Expression Manipulation
An analysis of a linearly extrapolated BDF2 subgrid artificial viscosity method for incompressible flows
Convergence of constant step stochastic gradient descent for non-smooth non-convex functions
A Signed Friedkin-Johnsen Model for Arbitrary Network Topologies
Inversive Meadows and Divisive Meadows
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
Content ARCs: Decentralized Content Rights in the Age of Generative AI
A Theory of Changes for Higher-Order Languages - Incrementalizing λ-Calculi by Static Differentiation
MPI-based Evaluation of Coordinator Election Algorithms
Evaluating LLMs for Combinatorial Optimization: One-Phase and Two-Phase Heuristics for 2D Bin-Packing
Efficient LLM Serving on Hybrid Real-time and Best-effort Requests
From Random Graph to Small World by Wandering
AI in Manufacturing: Market Analysis and Opportunities
3D Object Detection from Point Cloud via Voting Step Diffusion
Ternary graph isomorphism in polynomial time, after Luks
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
A learning-based multiscale model for reactive flow in porous media
Distributed averaging for accuracy prediction in networked systems
Computer Simulation of DNA Computing-Based Boolean Matrix Multiplication
LTA-L2S: Lexical Tone-Aware Lip-to-Speech Synthesis for Mandarin with Cross-Lingual Transfer Learning
Exascale In-situ visualization for Astronomy & Cosmology
A Wideband Spectrum Sensing Method for Cognitive Radio using Sub-Nyquist Sampling
A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization
The Oracle of DLphi
Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks
A Glimpse of the Matrix (Extended Version): Scalability Issues of a New Message-Oriented Data Synchronization Middleware
Modelling Variability for System Families
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
Position Estimation of Robotic Mobile Nodes in Wireless Testbed using GENI
The Bass diffusion model on finite Barabasi-Albert networks
Social Co-OS: Cyber-Human Social Co-Operating System
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection
Interspecies Collaboration in the Design of Visual Identity: A Case Study
Provably Approximated ICP
Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
Size versus truthfulness in the House Allocation problem
Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
Sparse power methods for large-scale higher-order PageRank problems
MDL-based Compressing Sequential Rules
How to Improve Your Virtual Experience - Exploring the Obstacles of Mainstream VR
Minimize Web Applications vulnerabilities through the early Detection of CRLF Injection
Grounding or Guesswork? Large Language Models are Presumptive Grounders
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
Compute-Optimal Scaling for Value-Based Deep RL
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Effects of Different Levels of Self-Representation on Spatial Awareness, Self-Presence and Spatial Presence during Virtual Locomotion
Numerical Approximation of the logarithmic Laplacian via sinc-basis
A New Performance Guarantee for Orthogonal Matching Pursuit Using Mutual Coherence
Parametric Operator Inference to Simulate the Purging Process in Semiconductor Manufacturing
Assessing the Potential Impact of Direction-Dependent HRTF Selection on Sound Localization Accuracy
Well-posedness, long-time behavior, and discretization of some models of nonlinear acoustics in velocity-enthalpy formulation
Challenges and opportunities for machine learning in multiscale computational modeling
Reproducible data citations for computational research
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection
Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
A Waveform Representation Framework for High-quality Statistical Parametric Speech Synthesis
LLM-based Vulnerable Code Augmentation: Generate or Refactor?
Software Requirements Specification of the IUfA's UUIS -- a Team 1 COMP5541-W10 Project Approach
AppSwitch: Resolving the Application Identity Crisis
IntelliCode: A Multi-Agent LLM Tutoring System with Centralized Learner Modeling
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS)
G 2 DA: Geometry-Guided Dual-Alignment Learning for RGB-Infrared Person Re-Identification
Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency
Lyapunov Stability of Smart Inverters Using Linearized DistFlow Approximation
LimSim: A Long-term Interactive Multi-scenario Traffic Simulator
SoilSound: Smartphone-based Soil Moisture Estimation
Fourier RNNs for Sequence Analysis and Prediction
Quantum e-commerce: A comparative study of possible protocols for online shopping and other tasks related to e-commerce
What Makes a Strong Monad?
Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model