yusuke1997/dblp-id-title huggingface dataset:
PULSE: Optical circuit switched Data Center architecture operating at nanosecond timescales
HurriCast: An Automatic Framework Using Machine Learning and Statistical Modeling for Hurricane Forecasting
Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics
Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line
CONGO: Compressive Online Gradient Optimization with Application to Microservices Management
An Approach Of Substitution Method Based On ASCII Codes In Encryption Technique
Exploring Processing of Nested Dependencies in Neural-Network Language Models and Humans
Theoretical Limit of Radar Parameter Estimation
A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving
A Note on k-support Norm Regularized Risk Minimization
Lower order mixed elements for the linear elasticity problem in 2D and 3D
Neural Language Models for Nineteenth-Century English
Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs)
AlignMix: Improving representation by interpolating aligned features
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
Challenges for cognitive decoding using deep learning methods
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
Any-stepsize Gradient Descent for Separable Data under Fenchel-Young Losses
Dynamic Data Augmentation with Gating Networks
Skin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks
Free Lunch for Generating Effective Outlier Supervision
Analysis of the competition among viral strains using a temporal interaction-driven contagion model
Finiteness of the playing time in 'Beggar-my-neighbour' card game
Probably faster multiplication of sparse polynomials
A dynamic view of the double descent
Q-Graph: Preserving Query Locality in Multi-Query Graph Processing
Stein Variational Gradient Descent: many-particle and long-time asymptotics
SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos
An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filter
Federated Fairness without Access to Sensitive Groups
A representation learning approach to probe for dynamical dark energy in matter power spectra
Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
GeNet: Deep Representations for Metagenomics
X-IONet: Cross-Platform Inertial Odometry Network with Dual-Stage Attention
Semi-supervised evidential label propagation algorithm for graph data
Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning
ForeSight: A Predictive-Scheduling Deterministic Database
Penalized Langevin and Hamiltonian Monte Carlo Algorithms for Constrained Sampling
Turning grain maps into diagrams
On the minimal accuracy required for simulating self-gravitating systems by means of direct N-body methods
Traced Types for Safe Strategic Rewriting
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions
Railway Track Specific Traffic Signal Selection Using Deep Learning
Robust uncertainty estimates with out-of-distribution pseudo-inputs training
Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System
Image Reconstruction via Discrete Curvatures
PsyPlay: Personality-Infused Role-Playing Conversational Agents
Optimum Weight Selection Based LQR Formulation for the Design of Fractional Order PIλDμ Controllers to Handle a Class of Fractional Order Systems
Regularized Barzilai-Borwein method
Formalizing Operational Design Domains with the Pkl Language
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Security Analysis and Fault Detection Against Stealthy Replay Attacks
Onboard Model-based Prediction of Tram Braking Distance
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting
Network histograms and universality of blockmodel approximation
Edge-promoting adaptive Bayesian experimental design for X-ray imaging
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts
Relative Entropy and Statistics
The Onsager principle and physics preserving numerical schemes
A new job migration algorithm to improve data center efficiency
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting
Multi-scale multi-modal micro-expression recognition algorithm based on transformer
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Lecture Notes on Algorithmic Information Theory
Unleashing the Power of Prompt-driven Nucleus Instance Segmentation
Attention Beyond Neighborhoods: Reviving Transformer for Graph Clustering
Non-orthogonal multiple access enhanced multi-user semantic communication
How does certainty enter into the mind?
What happens to diffusion model likelihood when your model is conditional?
FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements
Model alignment using inter-modal bridges
A Fourth-Order Compact ADI Scheme for Two-Dimensional Riesz Space Fractional Nonlinear Reaction-Diffusion Equation
Efficient formulation of a two-noded curved beam element under finite rotations
RephraseTTS: Dynamic Length Text based Speech Insertion with Speaker Style Transfer
Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution
ME-Mamba: Multi-Expert Mamba with Efficient Knowledge Capture and Fusion for Multimodal Survival Analysis
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights
Performance Analysis of Pinching-Antenna-Enabled Internet of Things Systems
Analysis of networking characteristics of different personality types
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach
The Daala Directional Deringing Filter
Learning the Superpixel in a Non-iterative and Lifelong Manner
Assessing LLM Reasoning Steps via Principal Knowledge Grounding
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAM
A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games
Residual Networks are Exponential Ensembles of Relatively Shallow Networks
A unified spatiotemporal formulation with physics-preserving structure for time-dependent convection-diffusion problems
SymPyBench: A Dynamic Benchmark for Scientific Reasoning with Executable Python Code
Real-time Collaboration Between Mixed Reality Users in Geo-referenced Virtual Environment
FSD50K: an Open Dataset of Human-Labeled Sound Events
Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees
Applying multi-angled parallelism to Spanish topographical maps
A review of landmark articles in the field of co-evolutionary computing
Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts
Privacy-preserving Machine Learning through Data Obfuscation
Improved Safe Real-time Heuristic Search
Law in Silico: Simulating Legal Society with LLM-Based Agents
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
Agatha: Smart Contract for DNN Computation
Debug-Localize-Repair: A Symbiotic Construction for Heap Manipulations
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation
Improving the Quality of Neural Machine Translation Through Proper Translation of Name Entities
On the effectiveness of discrete representations in sparse mixture of experts
Deep Learning Discrete Calculus (DLDC): A Family of Discrete Numerical Methods by Universal Approximation for STEM Education to Frontier Research
High Dimensional Quantum Learning With Small Quantum Computers
PanSt3R: Multi-view Consistent Panoptic Segmentation
MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation
A Human-Powered Public Display that Nudges Social Biking via Motion Gesturing
Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories
Deep Neural Network for Real-Time Autonomous Indoor Navigation
Sparse Matrix Multiplication with Bandwidth Restricted All-to-All Communication
Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023
Self-Directed Synthetic Dialogues and Revisions Technical Report
Spatial-Temporal Pre-Training for Embryo Viability Prediction Using Time-Lapse Videos
Multi-label Learning via Structured Decomposition and Group Sparsity
Minimising quantifier variance under prior probability shift
Approximating p-Mean Curve of Large Data-Sets
Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients
Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Detrimental task execution patterns in mainstream OpenMP runtimes
Do the Defect Prediction Models Really Work?
Optimal Transport-Assisted Risk-Sensitive Q-Learning
Automatic Short -Answer Grading System (ASAGS)
Constructions of Good Entanglement-Assisted Quantum Error Correcting Codes
Learned Compression of Nonlinear Time Series With Random Access
Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning
Inverse design of Non-parameterized Ventilated Acoustic Resonator via Variational Autoencoder with Acoustic Response-encoded Latent Space
A Multi-Agent System of Project Bidding Management Simulation
Using automated decision-making (ADM) to allocate Covid-19 vaccinations? Exploring the roles of trust and social group preference on the legitimacy of ADM vs. human decision-making
New bounds for the optimal density of covering single-insertion codes via the Turán density
Weak Visibility Queries of Line Segments in Simple Polygons and Polygonal Domains
Publication Induced Research Analysis (PIRA) - Experiments on Real Data
Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
Unsupervised Linear and Iterative Combinations of Patches for Image Denoising
Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism
Rule Extraction using Artificial Neural Networks
Equivalent and Approximate Transformations of Deep Neural Networks
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets
Evaluating Semantic Representations of Source Code
Switch Spaces: Learning Product Spaces with Sparse Gating
Learning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation
Efficient First-Order Temporal Logic for Infinite-State Systems
Multi-objective tuning for torque PD controllers of cobots
HP-GAN: Probabilistic 3D human motion prediction via GAN
Real-time Whole-body Obstacle Avoidance for 7-DOF Redundant Manipulators
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models
Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
What Aspects of Mobile Ads Do Users Care About? An Empirical Study of Mobile In-app Ad Reviews
Classification of Time-Series Images Using Deep Convolutional Neural Networks
Probabilistic Inverse Optimal Transport
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Approximate Maximin Shares for Groups of Agents
Prediction Confidence from Neighbors
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models
Study of Adaptive Reweighted Sparse Belief Propagation Decoders for Polar Codes
Measuring transnational social fields through binational link-tracing sampling
Multi-point dimensionality reduction to improve projection layout reliability
Recontextualized Knowledge and Narrative Coalitions on Telegram
Analog Network Coding in General SNR Regime: Performance of Network Simplification
Modularity and Optimality in Social Choice
The (In)Efficiency of Interaction
Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints
Pipelining the Fast Multipole Method over a Runtime System
Survey on Fair Reinforcement Learning: Theory and Practice
The fast parallel algorithm for CNF SAT without algebra
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
Toward a Local Perspective on Online Collaboration
Representation of the structure of graphs by sequences of instructions
On predictability of rare events leveraging social media: a machine learning perspective
Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms
Error analysis for temporal second-order finite element approximations of axisymmetric mean curvature flow of genus-1 surfaces
Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation
Detecting Generated Scientific Papers using an Ensemble of Transformer Models
Evaluating Patient Readmission Risk: A Predictive Analytics Approach
The Influence of Variable Frame Timing on First-Person Gaming
Centrality measures in networks based on nodes attributes, long-range interactions and group influence
Results of the Big ANN: NeurIPS'23 competition
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks
A low-latency control plane for dense cellular networks
Deciding Monotone Duality and Identifying Frequent Itemsets in Quadratic Logspace
When Langevin Monte Carlo Meets Randomization: Non-asymptotic Error Bounds beyond Log-Concavity and Gradient Lipschitzness
Trace Sampling 2.0: Code Knowledge Enhanced Span-level Sampling for Distributed Tracing
An Analytical Model for the Intercell Interference Power in the Downlink of Wireless Cellular Networks
Automating Release of Deep Link APIs for Android Applications
Imaging of nonlinear materials via the Monotonicity Principle
Fully Automatic Page Turning on Real Scores
Structure-preserving discrete-time optimal maneuvers of a wheeled inverted pendulum
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Socially-Aware and Human-AI Collaborative Future Transportation
NoFAQ: Synthesizing Command Repairs from Examples
Robust Anthropomorphic Robotic Manipulation through Biomimetic Distributed Compliance
Improving Homograph Attack Classification
HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering
Few-shot Name Entity Recognition on StackOverflow
Are You Human? An Adversarial Benchmark to Expose LLMs
Conceptual and algorithmic development of Pseudo 3D Graphics and Video Content Visualization
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
TrueBranch: Metric Learning-based Verification of Forest Conservation Projects
Online Detection and Mitigation of Robust Zero Dynamics Anomaly Behavior in MIMO Nonlinear Control Systems
Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different Levels of Representation
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models
Dualizing Le Cam's method, with applications to estimating the unseens
ξ-torch: differentiable scientific computing library
Deep motion estimation for parallel inter-frame prediction in video compression
FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
Distributed agency in second language learning and teaching through generative AI
DOA: A Degeneracy Optimization Agent with Adaptive Pose Compensation Capability based on Deep Reinforcement Learning
Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Federated singular value decomposition for high dimensional data
Simultaneous estimation of contact position and tool shape with high-dimensional parameters using force measurements and particle filtering
A FETI approach to domain decomposition for meshfree discretizations of nonlocal problems
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Triggered Gradient Tracking for Asynchronous Distributed Optimization
Subspace Method for the Estimation of Large-Scale Structured Real Stability Radius
Imitating Driver Behavior with Generative Adversarial Networks
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks
SmartSantander: IoT Experimentation over a Smart City Testbed
QoE-Oriented Resource Allocation for 360-degree Video Transmission over Heterogeneous Networks
Bounded Information Rate Variational Autoencoders
Multi-Modal Fusion of In-Situ Video Data and Process Parameters for Online Forecasting of Cookie Drying Readiness
Graph Neural Networks for Financial Fraud Detection: A Review
The Data-Expectation Gap: A Vocabulary Describing Experiential Qualities of Data Inaccuracies in Smartwatches
Realistic Website Fingerprinting By Augmenting Network Trace
GSAE: Graph-Regularized Sparse Autoencoders for Robust LLM Safety Steering
SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks
Robust inference of memory structure for efficient quantum modelling of stochastic processes
Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks
Exact Algorithms for Scheduling Problems on Parallel Identical Machines with Conflict Jobs
Misusing Tools in Large Language Models With Visual Adversarial Examples
Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs
Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency
On existence of a compatible triangulation with the double circle order type
Comparing and Combining Approximate Computing Frameworks
A first efficient algorithm for enumerating all the extreme points of a bisubmodular polyhedron
Unconditional energy dissipation and error estimates of the SAV Fourier spectral method for nonlinear fractional generalized wave equation
Another Look at Quantum Neural Computing
ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning
Deep Survival: A Deep Cox Proportional Hazards Network
PLATTER: A Page-Level Handwritten Text Recognition System for Indic Scripts
Detection of money laundering groups using supervised learning in networks
Algorithms and Decision-Making in the Public Sector
Comments on "𝒪(m·n) algorithms for the recognition and isomorphism problems on circular-arc graphs"
A Note on Quantum Markov Models
Enhancing Mobile Data Offloading with Mobility Prediction and Prefetching
ICASSP 2023 Acoustic Echo Cancellation Challenge
A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire Navigation
Selling train tickets by SMS
Novel Machine Learning Algorithms for Centrality and Cliques Detection in Youtube Social Networks
Chebyshev Particles
Back to the Communities: A Mixed-Methods and Community-Driven Evaluation of Cultural Sensitivity in Text-to-Image Models
Layout-Aware OCR for Black Digital Archives with Unsupervised Evaluation
Dynamic mode decomposition as an analysis tool for time-dependent partial differential equations
Introduction and Exemplars of Uncertainty Decomposition
Forgery-aware Adaptive Vision Transformer for Face Forgery Detection
Toward a Robust Biomimetic Hybrid Battery: Bridging Biology, Electrochemistry and Data-Driven Control
Dynamic Realization Games in Newsvendor Inventory Centralization
Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty
Arc length preserving approximation of circular arcs by Pythagorean-hodograph curves of degree seven
FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization
A Review of Augmented Reality Apps for an AR-Based STEM Education Framework
Encoding Variables, Evaluation Criteria and Evaluation Methods for Data Physicalizations: A Review
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Genetic prediction of quantitative traits: a machine learner's guide focused on height
Symmetric Subresultants and Applications
CREST-Search: Comprehensive Red-teaming for Evaluating Safety Threats in Large Language Models Powered by Web Search
An Optical Controlling Environment and Reinforcement Learning Benchmarks
BLAFS: A Bloat Aware File System
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
Tracing Distributed Algorithms Using Replay Clocks
Bridging Cognitive Programs and Machine Learning
Torque-based Graph Surgery:Enhancing Graph Neural Networks with Hierarchical Rewiring
Auto-ARGUE: LLM-Based Report Generation Evaluation
Error estimates for the scalar auxiliary variable (SAV) scheme to the Cahn-Hilliard equation
Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search
Adaptive Overclocking: Dynamic Control of Thinking Path Length via Real-Time Reasoning Signals
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
Applying the Closed World Assumption to SUMO-based Ontologies
Meta-Calibration Regularized Neural Networks
AFPTAS results for common variants of bin packing: A new method to handle the small items
Single photonic perceptron based on a soliton crystal Kerr microcomb for high-speed, scalable, optical neural networks
Non-stationary Bandit Convex Optimization: A Comprehensive Study
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
Haar wavelets collocation on a class of Emden-Fowler equation via Newton's quasilinearization and Newton-Raphson techniques
Multigrid Monte Carlo Revisited: Theory and Bayesian Inference
Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period
Dynamic Programming based Local Search approaches for Multi-Agent Path Finding problems on Directed Graphs
Formal Quantum Software Engineering: Introducing the Formal Methods of Software Engineering to Quantum Computing
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
The Wireless Technology Landscape in the Manufacturing Industry: A Reality Check