yusuke1997/dblp-id-title huggingface dataset:
Compressed Models are NOT Trust-equivalent to Their Large Counterparts
Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab
Construction of Simplicial Complexes with Prescribed Degree-Size Sequences
Representation Theorem for Matrix Product States
Well-Separated Pairs Decomposition Revisited
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey
On the performance of Golden space-time trellis coded modulation over MIMO block fading channels
Decision Support Systems Architectures
A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators
Multi-Timescale Coordinated AGC of Islanded Microgrids with Cascaded Run-of-the-River Hydropower and Volatile Energies
A Comprehensive Survey on Imbalanced Data Learning
Design of Internet of Things Based Controller for Direct Current Motors
Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM
AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification
Sensing with Optimal Matrices
Single Sample Prophet Inequality for Uniform Matroids of Rank 2
Tightness of prescriptive tree-based mixed-integer optimization formulations
M3TQA: Massively Multilingual Multitask Table Question Answering
Numerical and experimental realization of analytical SLAM
Towards Causal Market Simulators
Accurate and Robust Eye Contact Detection During Everyday Mobile Device Interactions
Managing a Queue to a Soft Delay Target
CAD-Mesher: A Convenient, Accurate, Dense Mesh-based Mapping Module in SLAM for Dynamic Environments
Multidimensional Rubric-oriented Reward Model Learning via Geometric Projection Reference Constraints
Graphs with the second and third maximum Wiener index over the 2-vertex connected graphs
A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
Study on the simulation control of neural network algorithm in thermally coupled distillation
Signal propagation in continuous approximations of binary neural networks
Comparative Analysis of AI Agent Architectures for Entity Relationship Classification
A Study on the Effects of Diffusion of Information on Epidemic Spread
The Kirchhoff's Matrix-Tree Theorem revisited: counting spanning trees with the quantum relative entropy
An Economic Perspective on Predictive Maintenance of Filtration Units
Exploring the landscape of virtual academic conferences: A scoping review of the 1984-2021 literature
Distributed Algorithms for Scheduling on Line and Tree Networks
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels
On Sufficient and Necessary Conditions in Bounded CTL
On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks
Intensional FOL over Belnap's Billatice for Strong-AI Robotics
Comparison of 2D Regular Lattices for the CPWL Approximation of Functions
StepGrade: Grading Programming Assignments with Context-Aware LLMs
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning
Comparing BERT against traditional machine learning text classification
SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations
Searching and Establishment of S-P-O Relationships for Linked RDF Graphs : An Adaptive Approach
Invariant stream generators using automatic abstract transformers based on a decidable logic
VoiceX: A Text-To-Speech Framework for Custom Voices
Semantic Regularities in Document Representations
Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making
Image Alignment in Unseen Domains via Domain Deep Generalization
On Defining Smart Cities using Transformer Neural Networks
Deformable Groupwise Registration Using a Locally Low-Rank Dissimilarity Metric for Myocardial Strain Estimation from Cardiac Cine MRI Images
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation
Frankl-Rödl type theorems for codes and permutations
Hard Examples Are All You Need: Maximizing GRPO Post-Training Under Annotation Budgets
Age Appropriate Design: Assessment of TikTok, Twitch, and YouTube Kids
Fair and Efficient Resource Allocation with Externalities
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study
Predictive Maintenance of Armoured Vehicles using Machine Learning Approaches
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
A structural attack to the DME-(3, 2, q) cryptosystem
Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial
A Code Equivalence between Secure Network and Index Coding
Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation
Segmentação de imagens utilizando competição e cooperação entre partículas
Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis
Data-free Backdoor Removal based on Channel Lipschitzness
Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning
A Journey of Modern OS Construction From boot to DOOM
Grinding the Space: Learning to Classify Against Strategic Agents
Cybersecurity of Electric Vehicle Smart Charging Management Systems
Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH
Insights on Galaxy Evolution from Interpretable Sparse Feature Networks
Towards AI-driven Integrative Emissions Monitoring & Management for Nature-Based Climate Solutions
A Unified Contrastive-Generative Framework for Time Series Classification
Support-vector-machine with Bayesian optimization for lithofacies classification using elastic properties
Improving Persian Relation Extraction Models by Data Augmentation
Zero-shot Building Age Classification from Facade Image Using GPT-4
TaleFrame: An Interactive Story Generation System with Fine-Grained Control and Large Language Models
Curvature Informed Furthest Point Sampling
SNN-Driven Multimodal Human Action Recognition via Event Camera and Skeleton Data Fusion
A PMU Based Islanding Detection Scheme Immune to Additive Instrumentation Channel Errors
A Guided FP-growth algorithm for fast mining of frequent itemsets from big data
Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping
McNie2-Gabidulin: An improvement of McNie public key encryption using Gabidulin code
3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network
BoPR: Body-aware Part Regressor for Human Shape and Pose Estimation
Baron Munchhausen's Sequence
Focus3D: A Practical Method to Adaptively Focus ISAR Data and Provide 3-D Information for Automatic Target Recognition
On the Power of Attribute-based Communication
Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table
Evaluating saliency methods on artificial data with different background types
Algebraic curves, rich points, and doubly-ruled surfaces
Microparticle-based Controlled Drug Delivery Systems: From Experiments to Statistical Analysis and Design
Noise Adaptor in Spiking Neural Networks
Efficient rule induction by ignoring pointless rules
Phase-Remapping Attack in Practical Quantum Key Distribution Systems
Deep Neural Networks based Meta-Learning for Network Intrusion Detection
CART-ELC: Oblique Decision Tree Induction via Exhaustive Search
On the Herbrand Functional Interpretation
SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control
Sensor Importance towards Observability Degree via Shapley Values
Stochastic Formal Methods for Rare Failure Events due to the Accumulation of Errors
Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow
Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model
Amendment to "Performance Analysis of the V-BLAST Algorithm: An Analytical Approach." [1]
Optimal Control of Legged-Robots Subject to Friction Cone Constraints
Quantum State Tomography with Conditional Generative Adversarial Networks
Delay Performance Optimization for Multiuser Diversity Systems with Bursty-Traffic and Heterogeneous Wireless Links
Representing Online Handwriting for Recognition in Large Vision-Language Models
Deep Learning-based Lightweight RGB Object Tracking for Augmented Reality Devices
Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search
Joint Transmission in Cellular Networks with CoMP - Stability and Scheduling Algorithms
Science Tree: A Platform for Exploring the Brazilian Academic Genealogy
Big Data in IoT Systems
An energy-efficient GMRES-Multigrid solver for space-time finite element computation of dynamic poro- and thermoelasticity
Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling
Multi-Platform Teach-and-Repeat Navigation by Visual Place Recognition Based on Deep-Learned Local Features
Coordination and Bargaining over the Gaussian Interference Channel
Pivotal CLTs for Pseudolikelihood via Conditional Centering in Dependent Random Fields
Interactive Multiple Model Estimation of Doubly-Selective Channels for OFDM systems
Enumeration and Structure of Trapezoidal Words
A Stable High-order Tuner for General Convex Functions
Laws in Darwinian Evolutionary Theory
Interpolating Compressed Parameter Subspaces
Improved Regularization of Convolutional Neural Networks with Cutout
Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing
Antisemitic Messages? A Guide to High-Quality Annotation and a Labeled Dataset of Tweets
Analysis of IEEE 802.11p Preamble Insertion in Sidelink C-V2X Signals to Improve Co-Channel Coexistence
QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
Cyclic codes over the ring $ \Z_p[u, v]/\langle u^2, v^2, uv-vu\rangle$
MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability
Learning Action-Transferable Policy with Action Embedding
Explainable Autonomous Robots: A Survey and Perspective
Real-Time Detection and Classification of Astronomical Transient Events: The State-of-the-Art
Threat from being Social: Vulnerability Analysis of Social Network Coupled Smart Grid
A Dictionary of Closed-Form Kernel Mean Embeddings
Teacher-Student Reinforcement Learning for Mapless Navigation using a Planetary Space Rover
MDCTCodec: A Lightweight MDCT-based Neural Audio Codec towards High Sampling Rate and Low Bitrate Scenarios
Large-Scale Location-Aware Services in Access: Hierarchical Building/Floor Classification and Location Estimation using Wi-Fi Fingerprinting Based on Deep Neural Networks
Proactive Rumor Control: When Impression Counts (Full Version)
Receiver Architectures for MIMO-OFDM Based on a Combined VMP-SP Algorithm
Towards automated high-throughput screening of C. elegans on agar
When programs have to watch paint dry
An Improved Self-supervised GAN via Adversarial Training
Shared Affordance-awareness via Augmented Reality for Proactive Assistance in Human-robot Collaboration
An Efficient, High-order, Adaptive Finite Volume Solver for Modelling Capillary Effects in Advanced Manufacturing Processes
Invariance properties of the multidimensional matching distance in Persistent Topology and Homology
Visual analogy: Deep learning versus compositional models
Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance
Smart obervation method with wide field small aperture telescopes for real time transient detection
Bridging UI Design and chatbot Interactions: Applying Form-Based Principles to Conversational Agents
Variational Quantum Framework for Partial Differential Equation Constrained Optimization
HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
Proceedings Seventh Workshop on Logical and Semantic Frameworks, with Applications, LSFA 2012, Rio de Janeiro, Brazil, September 29-30, 2012
Tree-Constrained Graph Neural Networks For Argument Mining
Bridging the complexity gap in Tbps-achieving THz-band baseband processing
NEP: Autoregressive Image Editing via Next Editing Token Prediction
A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints
PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
Augernome & XtremWeb: Monte Carlos computation on a global computing platform
Microbenchmarking NVIDIA's Blackwell Architecture: An in-depth Architectural Analysis
GaussianMorphing: Mesh-Guided 3D Gaussians for Semantic-Aware Object Morphing
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection
SPAP: Structured Pruning via Alternating Optimization and Penalty Methods
Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
Model Adaption Object Detection System for Robot
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
Extracting Conceptual Spaces from LLMs Using Prototype Embeddings
Computable Jordan Decomposition of Linear Continuous Functionals on $C[0;1]$
Study of Structured Root-LDPC Codes and PEG Techniques for Block-Fading Channels
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
Learning to Utilize Correlated Auxiliary Classical or Quantum Noise
A universal preconditioner for linear systems
Persona-driven Simulation of Voting Behavior in the European Parliament with Large Language Models
Learning to Manipulate Amorphous Materials
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: A regret lower bound for WSU-UX
evMLP: An Efficient Event-Driven MLP Architecture for Vision
An Algorithm for Flow Control in Computer Networks Based in Discrete Control Theory
UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning
The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region
Quasi-Newton Quasi-Monte Carlo for variational Bayes
Monolithic Multi-level Overlapping Schwarz Solvers for Fluid Problems
Single-Example Learning in a Mixture of GPDMs with Latent Geometries
Ensemble neural network forecasts with singular value decomposition
An Empirical Study of Unit Test Generation with Large Language Models
One-for-many Counterfactual Explanations by Column Generation
The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students
Differentiating Through Power Flow Solutions for Admittance and Topology Control
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Trading query complexity for sample-based testing and multi-testing scalability
A Counterexample in Image Registration
Latent Space Representation of Electricity Market Curves for Improved Prediction Efficiency
Selecting Two-Bit Bit Flipping Algorithms for Collective Error Correction
On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests
Building Qutrit Diagonal Gates from Phase Gadgets
Towards Practical Single-shot Motion Synthesis
Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
Towards a Better Understanding of Multi-User Cooperation: A Tradeoff between Transmission Reliability and Rate
Approximate Revenue Maximization for Diffusion Auctions
Finite-Time Convergence Rates of Nonlinear Two-Time-Scale Stochastic Approximation under Markovian Noise
An exposition to the finiteness of fibers in matrix completion via Plücker coordinates
Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection
Novel Modifications of Parallel Jacobi Algorithms
Repurposing of Resources: from Everyday Problem Solving through to Crisis Management
Measuring Taiwanese Mandarin Language Understanding
Insurgency as Complex Network: Image Co-Appearance and Hierarchy in the PKK
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning
Dynamic Model Updating Using Particle Swarm Optimization Method
Quantum-Error-Mitigated Detectable Byzantine Agreement with Dynamical Decoupling for Distributed Quantum Computing
Deep Spatio-temporal Manifold Network for Action Recognition
Category-level 6D Object Pose Recovery in Depth Images
Ray-Based Reflectance Model for Diffraction
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
On the human-recognizability phenomenon of adversarially trained deep image classifiers
MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs
A Methodology for Search Space Reduction in QoS Aware Semantic Web Service Composition
Predicting Time Series of Networked Dynamical Systems without Knowing Topology
Self-supervised representation learning from electroencephalography signals
Trading green bonds using distributed ledger technology
DANAE: a denoising autoencoder for underwater attitude estimation
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language
Dynamic Network Updating Techniques For Diagnostic Reasoning
Cross-View Open-Vocabulary Object Detection in Aerial Imagery
Performance Comparison of Energy-Efficient Power Control for CDMA and Multiuser UWB Networks
TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer
Transient Stability of Power Systems Dominated by Different Types of Grid-Forming Devices
Structure theorem of unitary design
The Heterogeneous Multi-Agent Challenge
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
On the semantics of merging
Designing for Affective Augmentation: Assistive, Harmful, or Unfamiliar?
(f, Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
Instructional Video Generation
T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models
Hazard Analysis and Risk Assessment for an Automated Unmanned Protective Vehicle
Content Distribution Strategies in Opportunistic Networks
Certain Relations between Mutual Information and Fidelity of Statistical Estimation
Bio-crafting Architecture: Experiences of growing mycelium in minimal surface molds
Introducing q-deformed binomial coefficients of words
CubeDN: Real-time Drone Detection in 3D Space from Dual mmWave Radar Cubes
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning
Fixed-parameter tractability, definability, and model checking
Block-Segmentation Vectors for Arousal Prediction using Semi-supervised Learning
Seeding for pervasively overlapping communities
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries
Assessing the Quality and Security of AI-Generated Code: A Quantitative Analysis
Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Microscopic Propagator Imaging (MPI) with Diffusion MRI
ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation
CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations
Efficient Distributed Training via Dual Batch Sizes and Cyclic Progressive Learning
Retrieval-Based Reconstruction For Time-series Contrastive Learning
Activation Steering with a Feedback Controller
On the advantages of using relative phase Toffolis with an application to multiple control Toffoli optimization
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Shuffling Momentum Gradient Algorithm for Convex Optimization
Circuit design in biology and machine learning. II. Anomaly detection
Opinion Dynamics of Online Social Network Users: A Micro-Level Analysis
A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis
Learning to Parallel: Accelerating Diffusion Large Language Models via Adaptive Parallel Decoding
An Exploratory Study of Ad Hoc Parsers in Python
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing
DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting
TURBOTEST: Learning When Less is Enough through Early Termination of Internet Speed Tests
Relational correspondences for L-fuzzy rough approximations defined on De~Morgan Heyting algebras
Predicting Human Choice Between Textually Described Lotteries
Multi-hop Convolutions on Weighted Graphs
China Regional 3km Downscaling Based on Residual Corrective Diffusion Model
A distance function for stochastic matrices
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
Is your forecaster smarter than an energy engineer: a deep dive into electricity price forecasting
Urban Delay Tolerant Network Simulator (UDTNSim v0.1)
Towards Secure Semantic Transmission In the Era of GenAI: A Diffusion-based Framework
Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification
A Robust Blind 3-D Mesh Watermarking technique based on SCS quantization and mesh Saliency for Copyright Protection
Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
Exploration of a Cosine Expansion Lattice Scheme
Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles
Limits and Colimits in a Category of Lenses
An Emulation Framework for Fire Front Spread
Following Forrelation - Quantum Algorithms in Exploring Boolean Functions' Spectra
Solvability of Discrete Helmholtz Equations
Emergence of Long-Term Memory in Popularity
Public Transit Demand Prediction During Highly Dynamic Conditions: A Meta-Analysis of State-of-the-Art Models and Open-Source Benchmarking Infrastructure
Autoencoders Learn Generative Linear Models
Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI
Coalgebraic trace semantics via forgetful logics
Missing Mass of Rank-2 Markov Chains
Asymmetric Polynomial Loss For Multi-Label Classification
Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data
Topology dependent payoffs can lead to escape from prisoner's dilemma
OMCAT: Omni Context Aware Transformer
Rule-adhering synthetic data - the lingua franca of learning
MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor
Real time A* Adaptive Action Set Footstep Planning with Human Locomotion Energy Approximations Considering Angle Difference for Heuristic Function
Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty
A Property Encoder for Graph Neural Networks
A Framework for Pedestrian Sub-classification and Arrival Time Prediction at Signalized Intersection Using Preprocessed Lidar Data
A Tensor-based Convolutional Neural Network for Small Dataset Classification
On the robustness of inverse scattering for penetrable, homogeneous objects with complicated boundary
New Techniques and Tighter Bounds for Local Computation Algorithms