yusuke1997/dblp-id-title huggingface dataset:
Gravity, torsion, Dirac field and computer algebra using MAPLE and REDUCE
Fault-Tolerant Perception for Automated Driving A Lightweight Monitoring Approach
Dynamic Service Scheduling and Resource Management in Energy-Harvesting Multi-access Edge Computing
Toward Parametric Timed Interfaces for Real-Time Components
SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models
Cost Analysis of Nondeterministic Probabilistic Programs
Quantification under prior probability shift: the ratio estimator and its extensions
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images
Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication
High-dimensional Metric Combining for Non-coherent Molecular Signal Detection
Efficient algorithms for autonomous electric vehicles' min-max routing problem
Solving high-dimensional optimal stopping problems using deep learning
A Survey on Orthogonal Time Frequency Space: New Delay Doppler Communications Paradigm in 6G era
Rethinking Reward Miscalibration of GRPO in Agentic RL
Quad-networks: unsupervised learning to rank for interest point detection
Motif-topology improved Spiking Neural Network for the Cocktail Party Effect and McGurk Effect
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels
Disentangle Perceptual Learning through Online Contrastive Learning
Harder Tasks Need More Experts: Dynamic Routing in MoE Models
Infecting Generative AI With Viruses
A New computation reduction based nonlinear Kalman filter
Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging
Implementation and Evaluation of GBDI Memory Compression Algorithm Using C/C++ on a Broader Range of Workloads
Variational Gaussian Processes with Signature Covariances
Network Congestion Control with Markovian Multipath Routing
Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots
A Partition-centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs
A Biomedical Information Extraction Primer for NLP Researchers
Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence
Compressive random access with multiple resource blocks and fast retrial
orb-QFL: Orbital Quantum Federated Learning
Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy
The Even Sheen of AI: Kitsch, LLMs, and Homogeneity
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations
A Two Sub-problem Decomposition for the Optimal Design of Filterless Optical Networks
Smart Face Shield: A Sensor-Based Wearable Face Shield Utilizing Computer Vision Algorithms
When can you trust feature selection? - I: A condition-based analysis of LASSO and generalised hardness of approximation
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values
On the Utility of Domain Modeling Assistance with Large Language Models
Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction
Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks
Convergence Analysis of Alternating Nonconvex Projections
Deep Reinforcement Learning for Chinese Zero pronoun Resolution
An Empirical Study of ADMM for Nonconvex Problems
Robustness from Simple Classifiers
Multi-dimension Geospatial feature learning for urban region function recognition
Predicting Dynamic Replication based on Fuzzy System in Data Grid
OriWheelBot: An origami-wheeled robot
Asymptotically Exact Error Analysis for the Generalized ℓ 2 2 -LASSO
Transfer Learning via Lexical Relatedness: A Sarcasm and Hate Speech Case Study
Generalized Clustering by Learning to Optimize Expected Normalized Cuts
Multi-modal segmentation with missing MR sequences using pre-trained fusion networks
A Tool for Computing and Estimating the Volume of the Solution Space of SMT(LA)
Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms
Competition-based Adaptive ReLU for Deep Neural Networks
STRELA: STReaming ELAstic CGRA Accelerator for Embedded Systems
A Geometry-Grounded Data Perimeter in Azure
A Noise-aware Enhancement Method for Underexposed Images
Continuous Affect Prediction using Eye Gaze
Optimizing delivery for quick commerce factoring qualitative assessment of generated routes
Digital Blues: An Investigation into the Use of Bluetooth Protocols
A Counterfactual LLM Framework for Detecting Human Biases: A Case Study of Sex/Gender in Emergency Triage
Toward Depth Estimation Using Mask-Based Lensless Cameras
Differentiated QoS with Modified C/I Based Scheduling Algorithm
PUL-SLAM: Path-Uncertainty Co-Optimization with Lightweight Stagnation Detection for Efficient Robotic Exploration
Robust Distortion-Free Watermark for Autoregressive Audio Generation Models
OmniTracker: Unifying Object Tracking by Tracking-with-Detection
Basis Vector Metric: A Method for Robust Open-Ended State Change Detection
MCCE: Monte Carlo sampling of realistic counterfactual explanations
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks
A simulation model for the lifetime of wireless sensor networks
Detailed Human-Centric Text Description-Driven Large Scene Synthesis
Open Access in Ukraine: characteristics and evolution from 2012 to 2021
The Public Safety Broadband Network: A Novel Architecture with Mobile Base Stations
Predicting the Category and Attributes of Mental Pictures Using Deep Gaze Pooling
Rotor-Failure-Aware Quadrotors Flight in Unknown Environments
LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
Towards new methods for process adjustments based on parts quality measurements
A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection
An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks
Higher Order Recurrent Neural Networks
Neural Machine Transliteration: Preliminary Results
New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor
Centralized Networked Micro Water-Energy Nexus with Proportional Exchange Among Participants
Semantics for UGV Registration in GPS-denied Environments
N-Modal Contrastive Losses with Applications to Social Media Data in Trimodal Space
Evaluation of Crowdsourced Data on Unplowed Roads
Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
Analysis of extremum seeking control for wind turbine torque controller optimization by aerodynamic and generator power objectives
DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification
Variational Self-attention Model for Sentence Representation
Generative Design of inorganic compounds using deep diffusion language models
Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text
Introduction to probabilistic concurrent systems
DLOLIS-A: Description Logic based Text Ontology Learning
To Re-transmit or Not to Re-transmit for Freshness
Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space
Optimization of Weighted Curvature for Image Segmentation
Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features
Convergence Analysis of a Spectral Numerical Method for a Peridynamic Formulation of Richards' Equation
Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue
Online Informative Sampling using Semantic Features in Underwater Environments
Randomized Kaczmarz methods for t-product tensor linear systems with factorized operators
Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks
Using Stochastic Encoders to Discover Structure in Data
Coding for Intelligence from the Perspective of Category
The nucleus of an adjunction and the Street monad on monads
Shape Aware Automatic Region-of-Interest Subdivisions
A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows
Spectral-PQ: A Novel Spectral Sensitivity-Orientated Perceptual Compression Technique for RGB 4: 4: 4 Video Data
Do Cyber Capabilities and Cyber Power Incentivize International Cooperation?
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Significance of Side Information in the Graph Matching Problem
INRU: A Quasigroup Based Lightweight Block Cipher
The necessity and sufficiency of anytime capacity for stabilization of a linear system over a noisy communication link Part I: scalar systems
Dynamic Impact for Ant Colony Optimization algorithm
Nonsubsampled Graph Filter Banks and Distributed Implementation
Interference Alignment with Diversity for the 2 × 2 X Network with four antennas
Opportunistic Entanglement Distribution for the Quantum Internet
Quantum algorithm for the Boolean hidden shift problem
AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Thresholding Greedy Pursuit for Sparse Recovery Problems
Machine Learning based Data Driven Diagnostic and Prognostic Approach for Laser Reliability Enhancement
Problem Learning: Towards the Free Will of Machines
Sinkhorn Algorithm as a Special Case of Stochastic Mirror Descent
Social Media Data Analysis and Feedback for Advanced Disaster Risk Management
Using Relative Entropy to Find Optimal Approximations: an Application to Simple Fluids
Churn modeling of life insurance policies via statistical and machine learning methods - Analysis of important features
Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions
Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET
Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
MORES: Online Incremental Multiple-Output Regression for Data Streams
Mutilmodal Feature Extraction and Attention-based Fusion for Emotion Estimation in Videos
Resisting hostility generated by terror: An agent-based study
ECG Heart-beat Classification Using Multimodal Image Fusion
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training
Efficient Robust Watermarking Based on Quaternion Singular Value Decomposition and Coefficient Pair Selection
Efficient and Effective Volume Visualization with Enhanced Isosurface Rendering
Beyond Task and Motion Planning: Hierarchical Robot Planning with General-Purpose Policies
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks
Two Novel Performance Improvements for Evolving CNN Topologies
Unveiling the potential of large language models in generating semantic and cross-language clones
White Noise from the White Goods? Conceptual and Empirical Perspectives on Ambient Domestic Computing
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction
ARTeX: Anonymity Real-world-assets Token eXchange
A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development
SMaLL: A Software Framework for portable Machine Learning Libraries
How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis
Estimating Policy Effects in a Social Network with Independent Set Sampling
VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs
Discovering Algorithms with Computational Language Processing
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks
The Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity
High-Fidelity Vector Space Models of Structured Data
Adversarially Robust Medical Classification via Attentive Convolutional Neural Networks
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Edge-aware Consistent Stereo Video Depth Estimation
FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation
Proving the power of postselection
Direct Semantic Communication Between Large Language Models via Vector Translation
Semantic Security and the Second-Largest Eigenvalue of Biregular Graphs
Diversity in Evolutionary Dynamics
Hierarchical Structural Analysis Method for Complex Equation-oriented Models
CSTS: Conditional Semantic Textual Similarity
Supervised learning with artificial hydrocarbon networks: an open source implementation and its applications
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning
IMU: Influence-guided Machine Unlearning
Gradient Flow Convergence Guarantee for General Neural Network Architectures
Estimation of the Mean Function of Functional Data via Deep Neural Networks
KELLMRec: Knowledge-Enhanced Large Language Models for Recommendation
ICL-Router: In-Context Learned Model Representations for LLM Routing
MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems
Compatibility-aware Heterogeneous Visual Search
D4M: Bringing Associative Arrays to Database Engines
Sequential Low-Rank Change Detection
Local discontinuous Galerkin method for a third order singularly perturbed problem of convection-diffusion type
Goal-Oriented Communications for Real-time Inference with Two-Way Delay
Application of Clustering Methods to Anomaly Detection in Fibrous Media
Hypermagmas and Colored Operads: Heads, Phases, and Theta Roles
Estimating operator norms using covering nets
A retrospective on DISPEED - Leveraging heterogeneity in a drone swarm for IDS execution
Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network
Role Playing Learning for Socially Concomitant Mobile Robot Navigation
Neurally Implementable Semantic Networks
YOLOR-Based Multi-Task Learning
Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil
Teaching Large Language Models to Reason with Reinforcement Learning
PSD estimation in Beamspace for Estimating Direct-to-Reverberant Ratio from A Reverberant Speech Signal
Architectures of epidemic models: accommodating constraints from empirical and clinical data
Reasoning Models Reason Well, Until They Don't
Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA
Finding the Maximal Empty Rectangle Containing a Query Point
Boosting Simple Collaborative Filtering Models Using Ensemble Methods
Parallel energy stable phase field simulations of Ni-based alloys system
Detecting Coordinated Inauthentic Behavior in Likes on Social Media: Proof of Concept
Unsupervised Multiple Domain Translation through Controlled Disentanglement in Variational Autoencoder
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models
GeoGCN: Geometric Dual-domain Graph Convolution Network for Point Cloud Denoising
AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging
Achieving Spatial Scalability for Coded Caching over Wireless Networks
Towards United Reasoning for Automatic Induction in Isabelle/HOL
Goodness-of-Fit of Attributed Probabilistic Graph Generative Models
Robust Quantum Circuit for Clique Problem with Intermediate Qudits
Learning definable hypotheses on trees
Queen Detection in Beehives via Environmental Sensor Fusion for Low-Power Edge Computing
Combining High Level Scheduling and Low Level Control to Manage Fleets of Mobile Robots
An algorithm with improved complexity for pebble motion/multi-agent path finding on trees
The Method of Critical AI Studies, A Propaedeutic
Hierarchical Reactive Grasping via Task-Space Velocity Fields and Joint-Space Quadratic Programming
Palisade - Prompt Injection Detection Framework
A comparison of LSTM and GRU networks for learning symbolic sequences
Locally Linear Region Knowledge Distillation
Thou Shalt not Pick all Items if Thou are First: of Strategyproof and Fair Picking Sequences
A Brief Survey on Leveraging Large Scale Vision Models for Enhanced Robot Grasping
Adaptive Dynamics of Realistic Small-World Networks
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
Assessing the Stability of Interpretable Models
Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
Impact of Virtual Inertia on DC Grid Stability with Constant Power Loads
Phase Spectrometry For High Precision mm-Wave DoA Estimation In 5G Systems
Who's Better, Who's Best: Skill Determination in Video using Deep Ranking
Who is next: rising star prediction via diffusion of user interest in social networks
Active Secure Neighbor Selection in Multi-Agent Systems with Byzantine Attacks
Probabilistic orientation estimation with matrix Fisher distributions
ESPnet-EZ: Python-only ESPnet for Easy Fine-tuning and Integration
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data
Learn molecular representations from large-scale unlabeled molecules for drug discovery
High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing
A Deep Unfolding Framework for Diffractive Snapshot Spectral Imaging
Secure and Trustworthy NFC-based Sensor Readout for Battery Packs in Battery Management Systems
Motion Informed Needle Segmentation in Ultrasound Images
Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques
Revisiting Non-Convexity in Topology Optimization of Compliance Minimization Problems
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements
Dual Pruning and Sorting-Free Overestimation for Average-Utility Sequential Pattern Mining
The Stretch Factor of the Delaunay Triangulation Is Less Than 1.998
Sequential Tag Recommendation
Adventures in Mathematical Reasoning
Optimal LZ-End Parsing is Hard
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing
Personalized Driving Behaviors and Fuel Economy over Realistic Commute Traffic: Modeling, Correlation, and Prediction
Generative Muscle Stimulation: Physical Assistance by Constraining Multimodal-AI with Biomechanical Knowledge
Digital IP Protection Using Threshold Voltage Control
Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory
On the Link Between Strongly Connected Iteration Graphs and Chaotic Boolean Discrete-Time Dynamical Systems
Business Process Modeling Using a Metamodeling Approach
Convergence of second-order, entropy stable methods for multi-dimensional conservation laws
TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a Speech Recognition Baseline
The subset-matched Jaccard index for evaluation of Segmentation for Plant Images
Definition of geometric space around analytic fractal trees using derivative coordinate funtions
3D Convolutional Neural Networks for Stalled Brain Capillary Detection
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai
Brain-optimized inference improves reconstructions of fMRI brain activity
RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering
A numerical study of heat island flows in an open domain: Stationary solutions
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging
Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware
Effective Ways of Secure, Private and Trusted Cloud Computing
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
Building Cross-Sectional Systematic Strategies By Learning to Rank
Cognitive Trust in HRI: "Pay Attention to Me and I'll Trust You Even if You are Wrong"
The Diversity Multiplexing Tradeoff of the MIMO Half-Duplex Relay Channel
An O(M log M) Algorithm for Bipartite Matching with Roadmap Distances
RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion
HBridge: H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding and Generation
Benchmarking Reasoning Reliability in Artificial Intelligence Models for Energy-System Analysis
Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
Two self-starting single-solve third-order explicit integration algorithms for second-order nonlinear dynamics
BEYOND DIALOGUE: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
Token Dynamics: Towards Efficient and Dynamic Video Token Representation for Video Large Language Models
Discriminative Principal Component Analysis: A REVERSE THINKING
Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth Century
Data-driven Regularized Inference Privacy
Going Deeper with Convolutions
Structured Backward Error Analysis with Preserving Sparsity for Three-by-Three Block Saddle Point Problems
Measuring the broader impact of research: The potential of altmetrics
Automatic Prediction of Rejected Edits in Stack Overflow
WING: An Adaptive and Gamified Mobile Learning Platform for Neurodivergent Literacy
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills
Natural Language User Profiles for Transparent and Scrutable Recommendations
Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology
Crowd Capital in Governance Contexts
Pseudo-Encoded Stochastic Variational Inference
FSE/CACM Rebuttal 2 : Correcting A Large-Scale Study of Programming Languages and Code Quality in GitHub
Spatially anchored Tactile Awareness for Robust Dexterous Manipulation
Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization
Constructing k-ary Orientable Sequences with Asymptotically Optimal Length
Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
HiRace: Accurate and Fast Source-Level Race Checking of GPU Programs
HFS: Holistic Query-Aware Frame Selection for Efficient Video Reasoning
An Online Data-Driven Method to Locate Forced Oscillation Sources from Power Plants Based on Sparse Identification of Nonlinear Dynamics (SINDy)
Deep Generative Models for Synthetic Financial Data: Applications to Portfolio and Risk Modeling
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
Mapping Hong Kong's Financial Ecosystem: A Network Analysis of the SFC's Licensed Professionals and Institutions
Calibrating Self-supervised Monocular Depth Estimation
Malware Epidemics Effects in a Lanchester Conflict Model
T2IBias: Uncovering Societal Bias Encoded in the Latent Space of Text-to-Image Generative Models
Adaptive Restart and CEGAR-based Solver for Inverting Cryptographic Hash Functions
AM-DCGAN: Analog Memristive Hardware Accelerator for Deep Convolutional Generative Adversarial Networks
goSLP: Globally Optimized Superword Level Parallelism Framework
Towards Effective EU E-Participation: The Development of AskThePublic
Simple But Not Secure: An Empirical Security Analysis of Two-factor Authentication Systems
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement