yusuke1997/dblp-id-title huggingface dataset:
An Encoder-Decoder Network for Beamforming over Sparse Large-Scale MIMO Channels
The structure of verbal sequences analyzed with unsupervised learning techniques
An Adversarial Robustness Perspective on the Topology of Neural Networks
Prompt Gating: A Parameter Efficient Tuning Method for Zero-Shot Multi-Source Translation
Optimal Sensing of Momentum Kicks with a Feedback-Controlled Nanomechanical Resonator
A Versatile Wireless Network Protocol for Spectrum Sharing with Passive Radio Services
Unravelling mean-field Lindblad equation
Self Training with Ensemble of Teacher Models
Steady state availability general equations of decision and sequential processes in Continuous Time Markov Chain models
InfoGuard: A Design and Usability Study of User-Controlled Application-Independent Encryption for Privacy-Conscious Users
Longest paths in 2-edge-connected cubic graphs
Divide, Denoise, and Defend against Adversarial Attacks
A Tutorial on Computing t-Closeness
Differentially Private Variational Dropout
Base Station Coordination Scheme for Multi-tier Ultra-dense Networks
Multi-pooled Inception features for no-reference image quality assessment
Obesity Heuristic, New Way On Artificial Immune Systems
An algorithmic solution to the Blotto game using multi-marginal couplings
CongFu: Conditional Graph Fusion for Drug Synergy Prediction
Search for temporal cell segmentation robustness in phase-contrast microscopy videos
InternLM2.5-StepProver: Advancing Automated Theorem Proving via Expert Iteration on Large-Scale LEAN Problems
OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays
Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT
Crowd Scene Analysis by Output Encoding
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under ManhattanWorld AssumptionWithout Ambiguity
The Boolean Hierarchy over Level 1/2 of the Straubing-Therien Hierarchy
Learning Linguistic Biomarkers for Predicting Mild Cognitive Impairment using Compound Skip-grams
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study
Cross-Modality Investigation on WESAD Stress Classification
Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering
Learning Transformations for Clustering and Classification
Asymptotics of large deviations of finite difference method for stochastic Cahn-Hilliard equation
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision
Wavelet Adaptive Proper Orthogonal Decomposition for Large Scale Flow Data
Sweeping Permutation Automata
Optimal Distribution Design for Irregular Repetition Slotted ALOHA with Multi-Packet Reception
Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn
An empirical evaluation of using ChatGPT to summarize disputes for recommending similar labor and employment cases in Chinese
Full-Dynamics Real-Time Nonlinear Model Predictive Control of Heavy-Duty Hydraulic Manipulator for Trajectory Tracking Tasks
Recall-driven Precision Refinement: Unveiling Accurate Fall Detection using LSTM
Research on Cross-platform Measurement method of online Advertising
Fog based Secure Framework for Personal Health Records Systems
mmHSense: Multi-Modal and Distributed mmWave ISAC Datasets for Human Sensing
Why approximate when you can get the exact? Optimal Targeted Viral Marketing at Scale
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization
Optimal input signal distribution for nonlinear optical fiber channel with small Kerr nonlinearity
Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems
Neural Scoring, Not Embedding: A Novel Framework for Robust Speaker Verification
Computability of extender sets in multidimensional subshifts
Non-Reed-Solomon Type MDS Codes from Elliptic Curves
Truncated Sparse Approximation Property and Truncated q-Norm Minimization
Embodied Task Planning with Large Language Models
Community Time-Activity Trajectory Modelling based on Markov Chain Simulation and Dirichlet Regression
Multiresolution Graph Variational Autoencoder
Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing
GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors
Understanding and Improving One-shot Neural Architecture Optimization
Interpolation-based reproducing kernel particle method
Space-time Euler discretization schemes for the stochastic 2D Navier-Stokes equations
The Myth of Global Science Collaboration - Collaboration patterns in epistemic communities
Interpretable Zero-shot Learning with Infinite Class Concepts
MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation
Towards Evolutional Compression
Conversations On Multimodal Input Design With Older Adults
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
Expansion and Search in Networks
A canonical form for some piecewise defined functions
Benchmarks and leaderboards for sound demixing tasks
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Reinforcement Learning with Near-Optimal Sample Complexity
An Experimental Study of Satisfaction Response: Evaluation of Online Collaborative Learning
Aligning Artificial Intelligence with Humans through Public Policy
Towards a GPU-Native Adaptive Mesh Refinement Scheme for the Lattice Boltzmann Method in Complex Geometries
SLIC Based Digital Image Enlargement
Load Mitigation and Power Tracking Control for Multi-Rotor Turbines
Counting Clues: A Lightweight Probabilistic Baseline Can Match an LLM
Ephemerality meets LiDAR-based Lifelong Mapping
Generalizing The Davenport-Mahler-Mignotte Bound - The Weighted Case
Simultaneous Analysis of Continuously Embedded Reissner-Mindlin Shells in 3D Bulk Domains
VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning
Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis
A Pairwise Dataset for GUI Conversion and Retrieval between Android Phones and Tablets
Ultra-Fast, High-Performance 8x8 Approximate Multipliers by a New Multicolumn 3, 3: 2 Inexact Compressor and its Derivatives
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
Reconfigurable cascaded thermal neuristors for neuromorphic computing
Deep Gated Multi-modal Learning: In-hand Object Pose Estimation with Tactile and Image
Comparing Graph Clusterings: Set partition measures vs. Graph-aware measures
Sequential Apportionment from Stationary Divisor Methods
Piercing the Veil: Designs to Support Information Literacy on Social Platforms
Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
AI Flow at the Network Edge
Reliability Analysis of Fully Homomorphic Encryption Systems Under Memory Faults
Large-scale Grid Optimization: The Workhorse of Future Grid Computations
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data
Hybrid State-Space and GRU-based Graph Tokenization Mamba for Hyperspectral Image Classification
Examining Linguistic Shifts in Academic Writing Before and After the Launch of ChatGPT: A Study on Preprint Papers
An observability for parabolic equations from a measurable set in time
Network Calculus-based Deadline-Adaptive Online Admission Control for ET Traffic in TSN
A mixed phase-field fracture model for crack propagation in punctured EPDM strips
Erratum for "On oriented cliques with respect to push operation"
Sensor Networks Architecture for Vehicles and Pedestrians Traffic Control
Complexity and mission computability of adaptive computing systems
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies
EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs
12-bit Delta-Sigma ADC operating at a temperature of up to 250C in Standard 0.18 μm SOI CMOS
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
Representation of preferences for multiple criteria decision aiding in a new seven-valued logic
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach
Novel Complex-Valued Hopfield Neural Networks with Phase and Magnitude Quantization
A Survey on Compressive Sensing: Classical Results and Recent Advancements
Prediction of Electric Multiple Unit Fleet Size Based on Convolutional Neural Network
Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models
Physics-Informed Spiking Neural Networks via Conservative Flux Quantization
GNU epsilon - an extensible programming language
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns
Hierarchical Reinforcement Learning for Sensor-Based Navigation
AWE: Asymmetric Word Embedding for Textual Entailment
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
On the Collocated Form with Input Decoupling of Lagrangian Systems
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories
Efficiency of equilibria in random binary games
L2 convergence of smooth approximations of Stochastic Differential Equations with unbounded coefficients
Domains and Event Structures for Fusions
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
Face Image Classification by Pooling Raw Features
Joint Sparsity Pattern Recovery under Communication Constraints: Greedy Approaches
Semantic Correspondence: A Hierarchical Approach
The Roadmap to 6G - AI Empowered Wireless Networks
Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework
Artificial Intelligence and the Spatial Documentation of Languages
PALS-Based Analysis of an Airplane Multirate Control System in Real-Time Maude
Reverse Refinement Network for Narrow Rural Road Detection in High-Resolution Satellite Imagery
LETA: Learning Transferable Attribution for Generic Vision Explainer
Strategic Communication and Language Bias in Multi-Agent LLM Coordination
Leveraging FPGAs for Homomorphic Matrix-Vector Multiplication in Oblivious Message Retrieval
COLA: How to adapt vision-language models to Compose Objects Localized with Attributes?
Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
Generalized Averaging Method for Power Electronics Modeling from DC to above Half the Switching Frequency
CrashChat: A Multimodal Large Language Model for Multitask Traffic Crash Video Analysis
A single T-gate makes distribution learning hard
Science Time Series: Deep Learning in Hydrology
ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network
Stabilization-free virtual element method for 2D third medium contact
Constructions and Applications of Perfect Difference Matrices and Perfect Difference Families
Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection
Stability Of Matrix Polynomials In One And Several Variables
Anticipatory Task and Motion Planning
Exploring COVID-19 Related Stressors Using Topic Modeling
The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study
Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
Semi Automatic Construction of ShEx and SHACL Schemas
Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs
The AI Memory Gap: Users Misremember What They Created With AI or Without
Random Logic Programs: Linear Model
Network Compression via Central Filter
Flexible recovery of uniqueness and immutability (Extended Version)
Identifying Treatment Effects under Unobserved Confounding by Causal Representation Learning
Intelligent Data-Driven Architectural Features Orchestration for Network Slicing
A Score-level Fusion Method for Eye Movement Biometrics
Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits
The Logic of Counting Query Answers: A Study via Existential Positive Queries
Zero-Shot Point Cloud Registration
Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models
Informativeness and Trust in Bayesian Persuasion
Modeling of languages for tensor manipulation
A Scalable, Trustworthy Infrastructure for Collaborative Container Repositories
Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
On the geometry of polytopes generated by heavy-tailed random vectors
Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead
Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
An energy and dynamical systems perspective to the damping-induced self recovery phenomenon
Some points of view on Grothendieck's inequalities
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication
Multichannel Loss Function for Supervised Speech Source Separation by Mask-based Beamforming
Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations
A reduced order model for the finite element approximation of eigenvalue problems
ST-ProC: A Graph-Prototypical Framework for Robust Semi-Supervised Travel Mode Identification
Unified Distributed Environment
Turing in the shadows of Nobel and Abel: an algorithmic story behind two recent prizes
Efficient Planar Two-Center Algorithms
Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
A Filament Sensor for the Detection of Fiber Structures in Human Mesenchymal Stem Cells
Gated-Dilated Networks for Lung Nodule Classification in CT scans
A higher homotopic extension of persistent (co)homology
Balancing congestion for unsplittable routing on a bidirected ring
An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows
Expression Rates of Neural Operators for Linear Elliptic PDEs in Polytopes
Wavelet-based GAN Fingerprint Detection using ResNet50
Locally-orthogonal, unstructured grid-generation for general circulation modelling on the sphere
LogoMotion: Visually Grounded Code Generation for Content-Aware Animation
Filtering Algorithms for the Multiset Ordering Constraint
Proposal for Quantum Ciphertext-Policy Attribute-Based Encryption
WebChecker: A Versatile EVL Plugin for Validating HTML Pages with Bootstrap Frameworks
Robustifying 𝓁 ∞ Adversarial Training to the Union of Perturbation Models
Tree-Based Dynamic Classifier Chains
Feather: A Feature Model Transformation Language
DTGAN: Differential Private Training for Tabular GANs
An Improved Active Disturbance Rejection Control for a Differential Drive Mobile Robot with Mismatched Disturbances and Uncertainties
Eigenvalue initialisation and regularisation for Koopman autoencoders
Extremum Seeking-based Iterative Learning Linear MPC
A theory of sequence indexing and working memory in recurrent neural networks
Genome assembly, a universal theoretical framework: unifying and generalizing the safe and complete algorithms
ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors
Sim2Real for Environmental Neural Processes
Evaluation of Authors and Journals
Characterizing SLAM Benchmarks and Methods for the Robust Perception Age
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations
Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots
Improving Graph Property Prediction with Generalized Readout Functions
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn
Genetic Algorithm for SU(2) Gauge Theory on a 2-dimensional Lattice
Uncertainty Quantification of Water Distribution System Measurement Data based on a Least Squares Loop Flows State Estimator
MBD: Multi b-value Denoising of Diffusion Magnetic Resonance Images
On the comparison of volumes of quantum states
Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning
On Newton Screening
The Stackelberg Game: responses to regular strategies
Beyond Learned Metadata-based Raw Image Reconstruction
Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques from Noisy Measurements
Self-Guided Defense: Adaptive Safety Alignment for Reasoning Models via Synthesized Guidelines
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
Unsupervised Domain Adaptation GAN Inversion for Image Editing
Fine-Tuning Large Language Models on Quantum Optimization Problems for Circuit Generation
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization
Mixed Logit Models and Network Formation
BoolSkeleton: Boolean Network Skeletonization via Homogeneous Pattern Reduction
Performance of Transfer Learning Model vs. Traditional Neural Network in Low System Resource Environment
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning
Sasaki Metric for Spline Models of Manifold-Valued Trajectories
2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT
The Application of Data Mining in the Production Processes
Inferring multiple consensus trees and supertrees using clustering: a review
On the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
Up and Away: A Cheap UAV Cyber-Physical Testbed (Work in Progress)
Hawkes Processes for Invasive Species Modeling and Management
Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
The Tensor as an Informational Resource
A Comprehensive Review on Deep Supervision: Theories and Applications
Reactive Synthesis for DECLARE via symbolic automata
Adversarial Estimators
Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning
YOLOv7 for Mosquito Breeding Grounds Detection and Tracking
TuneGenie: Reasoning-based LLM agents for preferential music generation
FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs
Election algorithms with random delays in trees
Enumeration Kernels of Polynomial Size for Cuts of Bounded Degree
Towards Automated Real-time Evaluation in Text-based Counseling
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation
Compatibility of Mating Preferences
Numerical Methods for the Hyperbolic Monge-Ampère Equation Based on the Method of Characteristics
Type Safe Redis Queries: A Case Study of Type-Level Programming in Haskell
Simultaneous Provision of Virtual Inertia and Damping from Inverter-Based Resources for Optimal Microgrid Frequency Regulation
Bridging between Computer and Robot Vision through Data Augmentation: a Case Study on Object Recognition
Introspecting the Happiness amongst University Students using Machine Learning
Fully-Adaptive and Semi-Adaptive Frequency Sweep Algorithm Exploiting Loewner-State Model for EM Simulation of Multiport Systems
Entropy-Stable Discontinuous Spectral-Element Methods for the Spherical Shallow Water Equations in Covariant Form
FindFacts: A Scalable Theorem Search
RedditESS: A Mental Health Social Support Interaction Dataset - Understanding Effective Social Support to Refine AI-Driven Support Tools
VQ-CNMP: Neuro-Symbolic Skill Learning for Bi-Level Planning
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion
Learning Neural Antiderivatives
A Fast solver for high condition linear systems using randomized stable solutions of its blocks
Data-Driven Regret Balancing for Online Model Selection in Bandits
Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation
Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning
KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
Self-Supervised Visual Attention Learning for Vehicle Re-Identification
∀∃R-completeness and area-universality
Safety-Aware Task Composition for Discrete and Continuous Reinforcement Learning
DynaNewton - Accelerating Newton's Method for Machine Learning
Geographical and Topology Control based Opportunistic Routing for Ad Hoc Networks
Potential Networking Applications of Global Positioning Systems (GPS)
Specifying Concurrent Problems: Beyond Linearizability
Kullback-Leibler Principal Component for Tensors is not NP-hard
Getting Ready for the EU AI Act in Healthcare. A call for Sustainable AI Development and Deployment
Learning the Ranking of Causal Effects with Confounded Data
Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization
Categorical Computability in Monoidal Computer: Programs as Diagrams
Providing Privacy, Safety, and Security in IoT-Based Transactive Energy Systems using Distributed Ledgers
Optimal Context Aware Transmission Strategy for non-Orthogonal D2D Communications
CVC Verilog Compiler - Fast Complex Language Compilers Can be Simple
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
Construction of the Nearest Nonnegative Hankel Matrix for a Prescribed Eigenpair
Differential Adjusted Parity for Learning Fair Representations
In the Search of Optimal Concurrency
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics
Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls
Multi-dimensional Data Analysis and Applications Basing on LLM Agents and Knowledge Graph Interactions
Comparison of Different Elastic Strain Definitions for Largely Deformed SEI of Chemo-Mechanically Coupled Silicon Battery Particles
Making Parameterization and Constrains of Object Landmark Globally Consistent via SPD(3) Manifold and Improved Cost Functions
Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks
Communication-Efficient Byzantine Agreement without Erasures
Counterfactually Fair Regression with Double Machine Learning
Towards a Path Dependent Account of Category Fluency
On 1-Planar Graphs with Bounded Cop-Number
Integrating Context of Statements within Description Logics
Evaluating the structure of cognitive tasks with transfer learning
Scaling Laws for Secrecy Capacity in Cooperative Wireless Networks
A Graph Theoretical Analysis of Low-Power Coding Schemes for One-Hop Networks
On Triangular Inequality of the Discounted Least Information Theory of Entropy (DLITE)
An Image Processing Pipeline for Automated Packaging Structure Recognition
DecLock: A Case of Decoupled Locking for Disaggregated Memory
Superconducting Fault Current Limiter Allocation in Reconfigurable Smart Grids
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices