yusuke1997/dblp-id-title huggingface dataset:
Word Embeddings for Entity-annotated Texts
An algorithm for real-time restructuring of a ranging-based localization network
No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
Learning from Watching: Scalable Extraction of Manipulation Trajectories from Human Videos
Learning to recover orientations from projections in single-particle cryo-EM
Can Un-trained Neural Networks Compete with Trained Neural Networks at Image Reconstruction?
Analysis of risk propagation using the world trade network
Factored Task and Motion Planning with Combined Optimization, Sampling and Learning
Role of reward shaping in object-goal navigation
OntoGSN: An Ontology for Dynamic Management of Assurance Cases
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
Multivariate Public Key Cryptography and Digital Signature
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
A Step Towards Mixture of Grader: Statistical Analysis of Existing Automatic Evaluation Metrics
Structure-Preserving Patch Decoding for Efficient Neural Video Representation
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
SolarSAM: Building-scale Photovoltaic Potential Assessment Based on Segment Anything Model (SAM) and Remote Sensing for Emerging City
Finite Element Methods for the Laplace-Beltrami Operator
Faster and Low Power Twin Precision Multiplier
End-to-End Autoencoder for Drill String Acoustic Communications
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
Beyond Free Riding: Quality of Indicators for Assessing Participation in Information Sharing for Threat Intelligence
Consensus Dynamics and Opinion Formation on Hypergraphs
Exploring Exponential Runge-Kutta Methods: A Survey
ReDas: Supporting Fine-Grained Reshaping and Multiple Dataflows on Systolic Array
Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
Content Distribution by Multiple Multicast Trees and Intersession Cooperation: Optimal Algorithms and Approximations
On the Approximation of Operator-Valued Riccati Equations in Hilbert Spaces
Max-Min SINR in Large-Scale Single-Cell MU-MIMO: Asymptotic Analysis and Low Complexity Transceivers
Error estimate of a quasi-Monte Carlo time-splitting pseudospectral method for nonlinear Schrodinger equation with random potentials
From user requirements to UML class diagram
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Computing Unique Maximum Matchings in O(m) time for Konig-Egervary Graphs and Unicyclic Graphs
When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems
Random-Key Algorithms for Optimizing Integrated Operating Room Scheduling
Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules
Risk Psychology & Cyber-Attack Tactics
Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells
A Simple Yet Strong Baseline for Long-Term Conversational Memory of LLM Agents
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning
Deep dip teardown of tubeless insulin pump
Optimal Dynamic Sensor Subset Selection for Tracking a Time-Varying Stochastic Process
Rapid Co-design of Task-Specialized Whegged Robots for Ad-Hoc Needs
On the Complexity of the Multivariate Resultant
Prediction Model of Aqua Fisheries Using IoT Devices
Identifiable Steering via Sparse Autoencoding of Multi-Concept Shifts
Let us first agree on what the term "semantics" means: An unorthodox approach to an age-old debate
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition
Deep Architectures for Neural Machine Translation
Categorizing Variants of Goodhart's Law
Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views
BASIR: Budget-Assisted Sectoral Impact Ranking - A Dataset for Sector Identification and Performance Prediction Using Language Models
Automatic User Profiling in Darknet Markets: a Scalability Study
Quantum-resistant digital signatures schemes for low-power IoT
Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation
Implicit field supervision for robust non-rigid shape matching
Safe Counterfactual Reinforcement Learning
Hard Examples Requiring Exhaustive Search do Exist
Sparse Double Descent in Vision Transformers: real or phantom threat?
Playing games with Large language models: Randomness and strategy
Minimum-effort successive cancellation list decoding of polar codes
HeunNet: Extending ResNet using Heun's Methods
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction
Visibility of Domain Elements in the Elicitation Process: A Family of Empirical Studies
Wiretapped Commitment over Binary Channels
Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
From Microscopic Heterogeneity to Macroscopic Complexity in the Contrarian Voter Model
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Automata Quest: NCAs as a Video Game Life Mechanic
Optimizing Distributed MIMO Wi-Fi Networks with Deep Reinforcement Learning
Attention, Filling in The Gaps for Generalization in Routing Problems
EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
ProDapt: Proprioceptive Adaptation using Long-term Memory Diffusion
Training with reduced precision of a support vector machine model for text classification
Control invariant set enhanced safe reinforcement learning: improved sampling efficiency, guaranteed stability and robustness
Survey: Image Mixing and Deleting for Data Augmentation
Safe Autonomous Lane Changing: Planning with Dynamic Risk Fields and Time-Varying Convex Space Generation
Towards Neural-Network-based optical temperature sensing of Semiconductor Membrane External Cavity Laser
The Propensity for Density in Feed-forward Models
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network
Bias in Generative AI
MLLMReID: Multimodal Large Language Model-based Person Re-identification
Fingerprint Classification Based on Depth Neural Network
Preliminary Performance Estimations and Benchmark Results for a Software-based Fault-Tolerance Approach aboard Miniaturized Satellite Computers
The Physics Constraint Paradox: When Removing Explicit Constraints Improves Physics-Informed Data for Machine Learning
Random Initialization of Gated Sparse Adapters
Nanotechnology-inspired Information Processing Systems of the Future
Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model
Minimal Envy and Popular Matchings
Future of industrial assembly: Intelligent Reconfigurable & Repurposable Adaptive Assembly (IRRAA)
bertha: Project Skeleton for Scientific Software
On the Orbits of Automaton Semigroups and Groups
Unified Functorial Signal Representation III: Foundations, Redundancy, L 0 and L 2 functors
Imprecise Multi-Armed Bandits
Linear model predictive safety certification for learning-based control
FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization
Transparent and Clinically Interpretable AI for Lung Cancer Detection in Chest X-Rays
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero
Binary Classification of Alzheimer Disease using sMRI Imaging modality and Deep Learning
Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
A Framework for Loop and Path Puzzle Satisfiability NP-Hardness Results
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
Inverse Reinforcement Learning via Matching of Optimality Profiles
Data-Driven Multiscale Topology Optimization of Spinodoid Architected Materials with Controllable Anisotropy
Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography
Detecting Stealthy Data Poisoning Attacks in AI Code Generators
Summarization is (Almost) Dead
Approximations in Deep Learning
On the randomness of independent experiments
Sparse Group Inductive Matrix Completion
LLM-Guided Co-Training for Text Classification
Thinking is Bad: Implications of Human Error Research for Spreadsheet Research and Practice
Mixed Transformer U-Net For Medical Image Segmentation
KurdSTS: The Kurdish Semantic Textual Similarity
SIM: A mapping framework for built environment auditing based on street view imagery
TeamPhone: Networking Smartphones for Disaster Recovery
Deterministically Maintaining a (2+ε)-Approximate Minimum Vertex Cover in O(1/ε 2 ) Amortized Update Time
Graph-based Trajectory Visualization for Text Mining of COVID-19 Biomedical Literature
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
Formalising and Learning a Quantum Model of Concepts
DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code
Uncertainty Quantification for Visual Object Pose Estimation
Dialogue Enhancement in Object-based Audio - Evaluating the Benefit on People above 65
On the importance and feasibility of forecasting data in sensors
Boosting Image Restoration via Priors from Pre-trained Models
Learning a Deep Part-based Representation by Preserving Data Distribution
General Computation using Slidable Tiles with Deterministic Global Forces
Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Canary: A Scheduling Architecture for High Performance Cloud Computing
Implications of ageing for the design of cognitive interaction systems
Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference
Large Language Models for Cyber Security: A Systematic Literature Review
Distribution and Management of Datacenter Load Decoupling
An Achievable Rate Region for the Broadcast Wiretap Channel with Asymmetric Side Information
Blockchain Aided Privacy-Preserving Outsourcing Algorithms of Bilinear Pairings for Internet of Things Devices
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation
FairHome: A Fair Housing and Fair Lending Dataset
Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19
Post-Training and Test-Time Scaling of Generative Agent Behavior Models for Interactive Autonomous Driving
RandomOut: Using a convolutional gradient norm to win The Filter Lottery
Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature
Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models
Galerkin Methods for Complementarity Problems and Variational Inequalities
An operadic approach to substitution in Lie-Butcher series
Energy Aware Routing with Computational Offloading for Wireless Sensor Networks
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
Semantic Part Segmentation with Deep Learning
PACO: Provocation Involving Action, Culture, and Oppression
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
Modular decomposition of transitive graphs and transitively orienting their complements
TopoChat: Enhancing Topological Materials Retrieval With Large Language Model and Multi-Source Knowledge
A Machine-Learning Framework for Design for Manufacturability
Referring Video Object Segmentation via Language-aligned Track Selection
A decoupled Crank-Nicolson leap-frog scheme for the unsteady bioconvection flows problem with concentration dependent viscosity
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach
Rethinking materials simulations: Blending direct numerical simulations with neural operators
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs
WattsOnAI: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
When categorization-based stranger avoidance explains the uncanny valley: A comment on MacDorman & Chattopadhyay (2016)
Deep Learning with Inaccurate Training Data for Image Restoration
Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models
3D Vertical Dual-Layer Oxide Memristive Devices for Neuromorphic Computing
Differentially Private Random Feature Model
ChatGPT for Computational Topology
Subspace Clustering in Wavelet Packets Domain
Multidimensional Scaling for Gene Sequence Data with Autoencoders
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification
On Computation of the Distance-based Bound on Strong Structural Controllability in Networks
PHCpack in Macaulay2
Bayesian Prediction-Powered Inference
Neural Forest Learning
Toom-Cook Multiplication: Some Theoretical and Practical Aspects
The Search For Leakage-free Entangling Fibonacci Braiding Gates
Compositional Approaches for Representing Relations Between Words: A Comparative Study
Towards Accurate and Efficient Sub-8-Bit Integer Training
Crowd-Sourcing Fuzzy and Faceted Classification for Concept Search
Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)
Towards Unsupervised Single-Channel Blind Source Separation using Adversarial Pair Unmix-and-Remix
Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
Parallelising Glauber dynamics
Spatial Multiplexing of QPSK Signals with a Single Radio: Antenna Design and Over-the-Air Experiments
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks
(Extended Version) Algebraic Characterization of the Class of Languages recognized by Measure Only Quantum Automata
Optimal Joins using Compact Data Structures
A protocol to gather, characterize and analyze incoming citations of retracted articles
Frame-based Equivariant Diffusion Models for 3D Molecular Generation
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees
Recurrent Contour-based Instance Segmentation with Progressive Learning
Amortized Conditional Normalized Maximum Likelihood
An Upper Bound on the Capacity of Vector Dirty Paper with Unknown Spin and Stretch
AMMU - A Survey of Transformer-based Biomedical Pretrained Language Models
Exploring Interdisciplinary Team Collaboration in Clinical NLP Projects Through the Lens of Activity Theory
BrazilDAM: A Benchmark dataset for Tailings Dam Detection
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures
Precision-biased Parsing and High-Quality Parse Selection
Learning To Guide Human Decision Makers With Vision-Language Models
A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
Quasi-linear time decoding of RS and AG codes for burst errors up to the Singleton bound
Black-box Adversarial ML Attack on Modulation Classification
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection
#TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok
On the Normalizing Constant of the Continuous Categorical Distribution
A Praxis of Influence: Framing the Observation and Measurement of Information Power
Optimal byzantine resilient convergence in oblivious robot networks
Hopping-Proof and Fee-Free Pooled Mining in Blockchain
Deep network series for large-scale high-dynamic range imaging
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
Supporting Developers in Porting Software via Combined Textual and Structural Analysis of Software Artifacts
Democratizing Machine Translation with OPUS-MT
VoxCeleb Enrichment for Age and Gender Recognition
Efficient method for estimating the number of communities in a network
'Indifference' methods for managing agent rewards
On B 1 -EPG and EPT graphs
A Stochastic Geometry Based Techno-Economic Analysis of RIS-Assisted Cellular Networks
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass
Gridding Forced Displacement using Semi-Supervised Learning
Efficient Adversarial Training with Transferable Adversarial Examples
Well-Quasi-Ordering Eulerian Digraphs Embeddable in Surfaces by Strong Immersion
Tutorial on Deep Learning for Human Activity Recognition
Exploiting bilateral symmetry in brain lesion segmentation
Forbidden Substructures for Tractable Conjunctive Query Answering with Degree 2
Boldly Going Where No Prover Has Gone Before
Caption Anything: Interactive Image Description with Diverse Multimodal Controls
Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds
Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes
PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations
Essence Knowledge Distillation for Speech Recognition
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Learning from imperfect training data using a robust loss function: application to brain image segmentation
STRIPStream: Integrating Symbolic Planners and Blackbox Samplers
Mobile-App Analysis and Instrumentation Techniques Reimagined with DECREE
Binary State Recognition by Robots using Visual Question Answering of Pre-Trained Vision-Language Model
3D Scene-Camera Representation with Joint Camera Photometric Optimization
Speed-up of Vision Transformer Models by Attention-aware Token Filtering
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy
Efficient Multi-Domain Dictionary Learning with GANs
The q-ary Golay complementary arrays of size 2 (m) are standard
Reservoir Computing with Superconducting Electronics
An Algebraic Watchdog for Wireless Network Coding
Vision-based Perimeter Defense via Multiview Pose Estimation
Eliciting Private User Information for Residential Demand Response
EE3P: Event-based Estimation of Periodic Phenomena Properties
On visual self-supervision and its effect on model robustness
Decision Procedures for Guarded Logics
Ultrametric and Generalized Ultrametric in Computational Logic and in Data Analysis
Dynamic Regressor Extension and Mixing-based Re-design of Adaptive Observer for Affine Systems
Wrangler for the Emergency Events Database: A Tool for Geocoding and Analysis of a Global Disaster Dataset
Compensating Hysteresis and Mechanical Misalignment in Piezo-Stepper Actuators
NMPC-based Unified Posture Manipulation and Thrust Vectoring for Fault Recovery
On-Demand Networking for Ubiquitous Connectivity and Network Resilience: A Network-in-a-Box Solution
D2-Mamba: Dual-Scale Fusion and Dual-Path Scanning with SSMs for Shadow Removal
Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents
Learning Memory-Dependent Continuous Control from Demonstrations
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Robust toll pricing: A novel approach
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Tucker Gaussian Process for Regression and Collaborative Filtering
PAC Learning-Based Verification and Model Synthesis
Searching in Space and Time: Unified Memory-Action Loops for Open-World Object Retrieval
Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model
Numerical Optimal Control of HIV Transmission in Octave/MATLAB
Conflict-free coloring on closed neighborhoods of bounded degree graphs
Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper
Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
On the development of open geographical data infrastructures in Latin America: progress and challenges
An Algebraic-Topological Approach to Processing Cross-Blockchain Transactions
Programmable Neural Network Trojan for Pre-Trained Feature Extractor
How to hunt wild constants
A Block-Ring connected Topology of Parameterized Quantum Circuits
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
Choreographies, Computationally
DeepBach: a Steerable Model for Bach chorales generation
Using NLP on news headlines to predict index trends
Fast Convergence to Unanimity in Dense Erdős-Rényi Graphs
Cross-Region Building Counting in Satellite Imagery using Counting Consistency
Finding Bipartite Partitions on Co-Chordal Graphs
Data Assimilation Models for Computing Probability Distributions of Complex Multiscale Systems
Linear maximum rank distance codes of exceptional type
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
High accuracy power series method for solving scalar, vector, and inhomogeneous nonlinear Schrödinger equations
Low Thrust Trajectory Design Using A Semi-Analytic Approach
Regulating Dark Patterns
Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts
Multimodal Deep Learning for Phyllodes Tumor Classification from Ultrasound and Clinical Data
Method for Searching of an Optimal Scenario of Impact in Cognitive Maps during Information Operations Recognition
The Optimal Division of the Energy Market into Zones: Comparison of Two Methodologies under Variable Wind Conditions
Task Matrices: Linear Maps for Cross-Model Finetuning Transfer
Multitask GLocal OBIA-Mamba for Sentinel-2 Landcover Mapping
A GPU-based Multi-level Algorithm for Boundary Value Problems
Channel reciprocity calibration in TDD hybrid beamforming massive MIMO systems
Basic Category Usage in Vision Language Models
Amending Contracts for Choreographies
How Intelligent is your Intelligent Robot?
An Input-Aware Mimic Defense Theory and its Practice
Explicit θ-Schemes for Solving Anticipated Backward Stochastic Differential Equations
SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis
Enigma: Decentralized Computation Platform with Guaranteed Privacy
Towards Design of System Hierarchy (research survey)
NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models
Iterative Adversarial Attack on Image-guided Story Ending Generation
Mechanism Design under Unawareness - Extended Abstract
Direct Pseudospectral Optimal Control by Orthogonal Polynomial Integral Collocation
Rectangular Layouts and Contact Graphs
A Review of LLM-based Explanations in Recommender Systems
Vision-based Behavioral Recognition of Novelty Preference in Pigs
Adaptive 2 : Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Efficient Density Estimation via Piecewise Polynomial Approximation
Scene 3-D Reconstruction System in Scattering Medium
Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
Deep Learning based Dimple Detection for Quantitative Fractography