yusuke1997/dblp-id-title huggingface dataset:
Mean-Field Semantics for a Process Calculus for Spatially-Explicit Ecological Models
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
Dimension lower bounds for linear approaches to function approximation
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation
Safe Non-blocking Synchronization in Ada 202x
Parameterized Approximation Schemes using Graph Widths
Building an Icelandic Entity Linking Corpus
On cyclic codes over the ring $Z_p + uZ_p + ... + u^{k-1}Z_p$
Energy Disaggregation with Semi-supervised Sparse Coding
Real World Longitudinal iOS App Usage Study at Scale
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Optimal HDR and Depth from Dual Cameras
Identifying Diversity, Equity, Inclusion, and Accessibility (DEIA) Indicators for Transportation Systems using Social Media Data: The Case of New York City during Covid-19 Pandemic
Encoding and Decoding of Several Optimal Rank Metric Codes
Differentially Private Query Learning: from Data Publishing to Model Publishing
Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation
Align, Adapt and Inject: Sound-guided Unified Image Generation
AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path
Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks
Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration
Emotion estimation from video footage with LSTM
IT Strategic alignment in the decentralized finance (DeFi): CBDC and digital currencies
A Large Scale Study of Reader Interactions with Images on Wikipedia
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
Resolving Gendered Ambiguous Pronouns with BERT
Stochastic Multi-armed Bandits with Arm-specific Fairness Guarantees
No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection
A Wearable Ultra-Low-Power sEMG-Triggered Ultrasound System for Long-Term Muscle Activity Monitoring
Evaluation of Centralized and Distributed Microgrid Topologies Considering Power Quality Constraints
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
A modal aleatoric calculus for probabilistic reasoning: extended version
On the upstream mobility scheme for two-phase flow in porous media
WOVe: Incorporating Word Order in GloVe Word Embeddings
Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs
Partitioned Persist Ordering
Discovering Sparse Hysteresis Models: A Data-driven Study for Piezoelectric Materials and Perspectives on Magnetic Hysteresis
An Ensemble Approach to Personalized Real Time Predictive Writing for Experts
Attention Is All You Need for KV Cache in Diffusion LLMs
AI in Archival Science - A Systematic Review
Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes
A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations
Towards Adaptive RF Fingerprint-based Authentication of IIoT devices
Simulating Sinogram-Domain Motion and Correcting Image-Domain Artifacts Using Deep Learning in HR-pQCT Bone Imaging
Data-Driven Abstraction-Based Control Synthesis
MDD-Glyphs: Immersive Insights Through Multidimensional Distribution Glyphs
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual and Language Learning
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation
Enabling Massive Deep Neural Networks with the GraphBLAS
Deep Representation Learning for Electronic Design Automation
Optimization of Adaptive Cruise Control system Controller: using Linear Quadratic Gaussian based on Genetic Algorithm
A Clinical-grade Universal Foundation Model for Intraoperative Pathology
A Trainable Optimizer
Diff-GNSS: Diffusion-based Pseudorange Error Estimation
Detecting Potentially Harmful and Protective Suicide-related Content on Twitter: A Machine Learning Approach
Codes for Correcting Asymmetric Adjacent Transpositions and Deletions
A novel section-section potential for short-range interactions between plane beams
A Light Weight Cryptographic Solution for 6LoWPAN Protocol Stack
Completion of partial structures using Patterson maps with the CrysFormer machine learning model
A Computational Model for Machine Thinking
AI Augmented Edge and Fog Computing: Trends and Challenges
Enhancing interpretability of rule-based classifiers through feature graphs
Synthesising Evolutionarily Stable Normative Systems
Incremental Generation is Necessary and Sufficient for Universality in Flow-Based Modelling
FMplex: A Novel Method for Solving Linear Real Arithmetic Problems (Extended Version)
Morphic Sequences: Complexity and Decidability
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
An incomplete and biased survey on selected resource management for distributed applications as basis for interoperability of medical devices
Multi-Objective Optimization Algorithms for Energy Management Systems in Microgrids: A Control Strategy Based on a PHIL System
Structural Changes in Data Communication in Wireless Sensor Networks
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition
Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection
Theoretical Advantage of Multiobjective Evolutionary Algorithms for Problems with Different Degrees of Conflict
Fast Online Learning of CLiFF-maps in Changing Environments
Explanations as Features: LLM-Based Features for Text-Attributed Graphs
Synthetic aperture radar imaging below a random rough surface
Superadditivity of private information for any number of uses of the channel
A Benchmark for Crime Surveillance Video Analysis with Large Models
Arabic Language Text Classification Using Dependency Syntax-Based Feature Selection
Correlating Unlabeled Events at Runtime
Scaled-Dot-Product Attention as One-Sided Entropic Optimal Transport
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks
Average-case hardness of estimating probabilities of random quantum circuits with a linear scaling in the error exponent
Reducing Datacenter Operational Carbon Emissions Effectively by Cooperating with the Grid
Hybrid Ensemble Method for Detecting Cyber-Attacks in Water Distribution Systems Using the BATADAL Dataset
Skeletonization of neuronal processes using Discrete Morse techniques from computational topology
Pretrained ViTs Yield Versatile Representations For Medical Images
A Heuristic Algorithm for the Fabric Spreading and Cutting Problem in Apparel Factories
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
Almost Sure Convergence of Dropout Algorithms for Neural Networks
Empirical Optimization on Post-Disaster Communication Restoration for Social Equality
Flatness-aware Adversarial Attack
Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks?
Regularized Stokeslet Surfaces
Tuning MPI Collectives by Verifying Performance Guidelines
DARTS: Double Attention Reference-based Transformer for Super-resolution
Sky ε -Tree: Embracing the Batch Updates of B ε -trees through Access Port Parallelism on Skyrmion Racetrack Memory
Monadic second-order logic and the domino problem on self-similar graphs
Attention guided global enhancement and local refinement network for semantic segmentation
A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds
A Large Language Model Powered Integrated Circuit Footprint Geometry Understanding
A survey on Human Mobility and its applications
Efficient Decompositional Rule Extraction for Deep Neural Networks
Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks
A review on memristor applications
Asymptotic and catalytic matrix majorization
Knowledge and simplicial complexes
Root-finding Approaches for Computing Conformal Prediction Set
Towards More Efficient, Robust, Instance-adaptive, and Generalizable Online Learning
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments
Fairness-aware Contextual Dynamic Pricing with Strategic Buyers
Approximate-At-Most-k Encoding of SAT for Soft Constraints
Mining and Analyzing the Future Works in Scientific Articles
JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs
STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning
Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agents
OmniBOR: A System for Automatic, Verifiable Artifact Resolution across Software Supply Chains
Lovelock: Towards Smart NIC-hosted Clusters
On the Random 1/2-Disk Routing Scheme in Wireless Ad Hoc Networks
Phasebook: A Survey of Selected Open Problems in Phase Retrieval
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft
Intelligent Tutoring Systems for Generation Z's Addiction
Learning to Navigate using Visual Sensor Networks
Security Analysis of A Chaos-based Image Encryption Algorithm
Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
Complexity of Government response to Covid-19 pandemic: A perspective of coupled dynamics on information heterogeneity and epidemic outbreak
Constraining the Number of Positive Responses in Adaptive, Non-Adaptive, and Two-Stage Group Testing
Towards One-Shot Learning for Text Classification using Inductive Logic Programming
Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework
DoubleTake: Fast and Precise Error Detection via Evidence-Based Dynamic Analysis
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla
A Bibliography of Combinators
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems
Fast Post-Hoc Confidence Fusion for 3-Class Open-Set Aerial Object Detection
The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health
Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition
A Parallel Simulator for Massive Reservoir Models Utilizing Distributed-Memory Parallel Systems
ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
Smart Contract Languages: a comparative analysis
Transfer Learning for EDFA Gain Modeling: A Semi-Supervised Approach Using Internal Amplifier Features
PFNs Are Flexible Models for Real-World Bayesian Optimization
Training-Free Reasoning and Reflection in MLLMs
TourLLM: Enhancing LLMs with Tourism Knowledge
An Efficient Runtime Validation Framework based on the Theory of Refinement
Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications
Scalable prediction of global online media news virality
Memory Backdoor Attacks on Neural Networks
The error-floor of LDPC codes in the Laplacian channel
An Opportunistic Source Synthesis Method for Smart Electromagnetic Environments
How Much Time is Required for Phase Shift Delivery in RIS-Aided Wireless Systems?
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
A Frustratingly Easy Approach for Joint Entity and Relation Extraction
Domestic waste detection and grasping points for robotic picking up
Memristive Devices for Computation-In-Memory
Optimal convergence rates for the spectrum of the graph Laplacian on Poisson point clouds
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
Combining Word Embeddings and N-grams for Unsupervised Document Summarization
Block encoding the 3D heterogeneous Poisson equation with application to fracture flow
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
Sampling, Diffusions, and Stochastic Localization
Credit Assignment as a Proxy for Transfer in Reinforcement Learning
Exploring the unleaved tree of numerical semigroups up to a given genus
Online Photometric Calibration for Auto Exposure Video for Realtime Visual Odometry and SLAM
FSboard: Over 3 million characters of ASL fingerspelling collected via smartphones
SLNSpeech: solving extended speech separation problem by the help of sign language
Implementing engrams from a machine learning perspective: the relevance of a latent space
Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination
A parallel workload has extreme variability
Deep neural heart rate variability analysis
Parallel Digital Twin-driven Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
Pobogot - An Open-Hardware Open-Source Low Cost Robot for Swarm Robotics
The Design of By-product Hydrogen Supply Chain Considering Large-scale Storage and Chemical Plants: A Game Theory Perspective
Diagnosis of Parkinson's Disease Using EEG Signals and Machine Learning Techniques: A Comprehensive Study
Multi-agent Databases via Independent Learning
A Robust Adaptive Stochastic Gradient Method for Deep Learning
New Sufficient Algebraic Conditions for Local Consistency over Homogeneous Structures of Finite Duality
A Survey on Generative Recommendation: Data, Model, and Tasks
Goodput Maximization in Cooperative Networks with ARQ
Mutarjim: Advancing Bidirectional Arabic-English Translation with a Small Language Model
Maximum bound principle preserving and energy decreasing exponential time differencing schemes for the matrix-valued Allen-Cahn equation
Analysis of Farthest Point Sampling for Approximating Geodesics in a Graph
Middle-level Fusion for Lightweight RGB-D Salient Object Detection
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping
Random-Order Online Interval Scheduling and Geometric Generalizations
Fine-grained Knowledge Graph-driven Video-Language Learning for Action Recognition
Multi-Sample based Contrastive Loss for Top-k Recommendation
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE
A Framework for Data Valuation and Monetisation
Optimization Problems in Correlated Networks
1-skeletons of the spanning tree problems with additional constraints
Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection
Optimistic Estimate Uncovers the Potential of Nonlinear Models
Demo: Real-Time Semantic Communications with a Vision Transformer
An Improved EM algorithm
CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative 𝓁 1 Penalty Approach
Comprehensive Multi-Agent Epistemic Planning
Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation
Convergence of Deep ReLU Networks
Self-Supervised Image Representation Learning: Transcending Masking with Paired Image Overlay
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations
MLLM-CBench:A Comprehensive Benchmark for Continual Instruction Tuning of Multimodal LLMs with Chain-of-Thought Reasoning Analysis
Impermanent Identifiers: Enhanced Source Code Comprehension and Refactoring
DuetSGX: Differential Privacy with Secure Hardware
The Importance of Causality in Decision Making: A Perspective on Recommender Systems
Partial Likelihood Thompson Sampling
A Survey on Analog Models of Computation
Simulation of clustering algorithms in OODBs in order to evaluate their performances
Surface Triangulation - The Metric Approach
VPGS-SLAM: Voxel-based Progressive 3D Gaussian SLAM in Large-Scale Scenes
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path
Towards a diagrammatic modeling of the LinBox C++ linear algebra library
A Unified Framework for Mapping and Synthesis of Approximate R-Blocks CGRAs
Experiences from Using Gamification and IoT-based Educational Tools in High Schools towards Energy Savings
Introduction to Cross-Entropy Clustering The R Package CEC
On Intersection of Conjugate Subgoups
Statistical Dynamic Modeling of Networked DERs for Assessing and Mitigating Risk of Cascading Tripping Events in Distribution Grids
Distributionally Robust Optimization with Adversarial Data Contamination
No-Regret Gaussian Process Optimization of Time-Varying Functions
Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
SPIRIT: Patching Speech Language Models against Jailbreak Attacks
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
SMARTmBOT: A ROS2-based Low-cost and Open-source Mobile Robot Platform
Randomness and Differentiability
A Computational Approach to Finding RNA Tertiary Motifs in Genomic Sequences
TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding
Fast Cerebral Blood Flow Analysis via Extreme Learning Machine
A Dual-Stream Recurrence-Attention Network with Global-Local Awareness for Emotion Recognition in Textual Dialogue
Function Computation and Identification over Locally Homomorphic Multiple-Access Channels
NEXT: A Neural Network Framework for Next POI Recommendation
Camera identification with deep convolutional networks
A K-fold Method for Baseline Estimation in Policy Gradient Algorithms
A Schema-aware Logic Reformulation for Graph Reachability
Language and Dialect Identification of Cuneiform Texts
Dependent Session Types
Local Routing on Ordered Θ-graphs
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading
Joint user and power scheduling in downlink NOMA over fading channels
A Unified Inner Bound for the Two-Receiver Memoryless Broadcast Channel with Channel State and Message Side Information
Weakly supervised multiple instance learning histopathological tumor segmentation
Learning Determinantal Point Processes by Sampling Inferred Negatives
CourtGuard: A Local, Multiagent Prompt Injection Classifier
Design of a P System based Artificial Graph Chemistry
Forensic Writer Identification Using Microblogging Texts
Heterogeneous length of stay of hosts' movements and spatial epidemic spread
A Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity
Per-sample Prediction Intervals for Extreme Learning Machines
Homological- and analytical-preserving serendipity framework for polytopal complexes, with application to the DDR method
Amazon Nova AI Challenge - Trusted AI: Advancing secure, AI-assisted software development
Multi-scale Edge-based U-shape Network for Salient Object Detection
The Radon cumulative distribution transform and its application to image classification
Symbolic Control for Stochastic Systems via Parity Games
Fine-grained Defocus Blur Control for Generative Image Models
mKG-RAG: Multimodal Knowledge Graph-Enhanced RAG for Visual Question Answering
POLAFFINI: Efficient feature-based polyaffine initialization for improved non-linear image registration
A Minimal-Input Multilayer Perceptron for Predicting Drug-Drug Interactions Without Knowledge of Drug Structure
CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance
Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality
When approximate design for fast homomorphic computation provides differential privacy guarantees
An New Type Of Artificial Brain Using Controlled Neurons
An Integration and Operation Framework of Geothermal Heat Pumps in Distribution Networks
Improved Ear Verification with Vision Transformers and Overlapping Patches
MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation
Spatial Outlier Detection from GSM Mobility Data
Compiling the Mimosa programming language to RTOS tasks
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems
TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning
Towards a Measure Theory of Semantic Information
Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments
Randomized Optimal Consensus of Multi-agent Systems
Machine learning for modular multiplication
Solving the subset sum problem with a nonideal biological computer
Interactive All-Hex Meshing via Cuboid Decomposition
Mean asymptotic behaviour of radix-rational sequences and dilation equations (Extended version)
Nodal domain theorem for the graph p-Laplacian
TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
Ultra Low Complexity Soft Output Detector for Non-Binary LDPC Coded Large MIMO Systems
Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
Multilevel Monte Carlo Simulations of Composite Structures with Uncertain Manufacturing Defects
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling
Leakage and the Reproducibility Crisis in ML-based Science
A Novel Multi-Criteria Local Latin Hypercube Refinement System for Commutation Angle Improvement in IPMSMs
Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling
Abstractive Summarization as Augmentation for Document-Level Event Detection
Robotic Arm for Remote Surgery
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting
Spatial and Temporal Mutual Promotion for Video-based Person Re-identification
SAHAAYAK 2023 - the Multi Domain Bilingual Parallel Corpus of Sanskrit to Hindi for Machine Translation
Analysis of Spatial augmentation in Self-supervised models in the purview of training and test distributions
Teaching Wav2Vec2 the Language of the Brain
Internal Model Based Active Disturbance Rejection Control
DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm
A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography
Demeter: A Fast and Energy-Efficient Food Profiler using Hyperdimensional Computing in Memory
STREAM: Software Tool for Routing Efficiently Advanced Macrofluidics
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
Toward a Real-Time Digital Twin Framework for Infection Mitigation During Air Travel
Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure
Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt
Sample Complexity of Low-rank Tensor Recovery from Uniformly Random Entries
An Efficient Multi-Robot Arm Coordination Strategy for Pick-and-Place Tasks using Reinforcement Learning
Robust Coordinated Longitudinal Control of MAV Based on Energy State
Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
GraFormer: Graph Convolution Transformer for 3D Pose Estimation
On the convergence of discrete dynamic unbalanced transport models