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Every paper Pith has read. Search by title, abstract, or pith.
506 papers in cs.CE · page 5
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Hybrid domain decomposition bounds error uniformly in stabilization parameter
On a Hybrid Mixed Domain Decomposition Method
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Foundation models beat tuned ML on 54 energy forecast tasks
FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting
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AI generates propeller designs from thrust and power targets
AI-Driven Performance-to-Design Generation and Optimization of Marine Propellers
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Topology optimization gives RC beams 36-42% higher load capacity at same material use
Topology Optimization for Materially Efficient Reinforced Concrete Design: Development, Fabrication, and Structural Evaluation
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Pi-PINN solves new PDEs 100-1000x faster via pseudoinverse adaptation
Transferable Physics-Informed Representations via Closed-Form Head Adaptation
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Explicit supersaturation input beats implicit inference for crystal-growth neural models
Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning
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Two-timescale agent learning raises portfolio Sharpe to 2.13
AEL: Agent Evolving Learning for Open-Ended Environments
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Cognitive rules raise LLM feature success by 15.2 percent
CoFEE: Reasoning Control for LLM-Based Feature Discovery
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Differentiable BEM in JAX supports acoustic shape optimization
JAX-BEM: Gradient-Based Acoustic Shape Optimisation via a Differentiable Boundary Element Method
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This paper extends an existing economic causal benchmark with 1,056 ideology-contested…
Ideological Bias in LLMs' Economic Causal Reasoning
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First layer sets the scale for Gaussian KANs
Scale-Parameter Selection in Gaussian Kolmogorov-Arnold Networks
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This paper proposes the Identity-Bound Asset Integrity Model (IBAIM) to stop economic…
Decoupling Speculation from Merit: The Identity-Bound Asset Integrity Model (IBAIM) for Sustainable Web3 Gaming
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Quantum framework solves 500-variable higher-order problems in 170 seconds
Distributed Quantum Optimization for Large-Scale Higher-Order Problems with Dense Interactions
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Graph method decouples MNA with controlled sources to index-1
A topological decoupling of modified nodal analysis including controlled sources
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Topic models evaluate document translations without references
An Explainable Approach to Document-level Translation Evaluation with Topic Modeling
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Explicit quantum circuits simulate 3D elastic waves
Hamiltonian simulation for 3D elastic wave equations in homogeneous elastic media
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Bound model predicts tastes from recipes with 10 features
Predicting food taste with bound-driven optimization
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Spreadsheet AI agents improve when users check actions mid-run
Auditing and Controlling AI Agent Actions in Spreadsheets
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PINNs generate membrane shapes matching FEM solutions
Physics-informed neural networks for form-finding of unilateral membrane structures
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Transferable features speed neural field fitting of science signals by 10x
Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields
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Tool-augmented LLMs reach near-perfect accuracy on financial questions
Time Series Augmented Generation for Financial Applications
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Stochastic attention calibrates foundation model uncertainty at inference time
Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
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Randomized attention calibrates models in minutes
Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
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Quasi-implicit splitting yields 10x accuracy in wildfire models
Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method
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RL policy with latent predictions moves sensors to cut reconstruction error
LASER: Learning Active Sensing for Continuum Field Reconstruction
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Tensor cores accelerate PIC mass matrix assembly up to 3x
Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods
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Windkessel equations inside neural nets improve cuffless BP estimates
A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring
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Neural operator maps microstructure to granular failure envelopes
Neural Operator Representation of Granular Micromechanics-based Failure Envelope
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Implicit compact-kernel MPM cuts contact gaps and cell-crossing noise
An Implicit Compact-Kernel Material Point Method for Computational Solid Mechanics
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Tensor trains and physics nets estimate failure risk at 150 dimensions
Multiscale Structural Reliability Analysis in high dimensions with Tensor Trains and Physics-Augmented Neural Networks
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New index predicts trade losses from maritime supply shocks
Maritime Connectivity Vulnerability Index: Construction, Patterns, and Validation Across 185 Economies, 2006-2025
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New LLM beats open models at multilingual financial misinformation
MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model
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Models predict auction efficiency from bids and asks alone
An `Inverse' Experimental Framework to Estimate Market Efficiency
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Simulator self-calibrates order flow to match real multi-day market data
EvoMarket: A High-Fidelity and Scalable Financial Market Simulator
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Fused CUDA kernel speeds 3D SIMP optimization 4.6-7.3x
Matrix-Free 3D SIMP Topology Optimization with Fused Gather-GEMM-Scatter Kernels
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Attention U-Net maps microchannel flows with 0.93 Dice score
$\mu$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture
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Asymmetric local transitions induce drift in combinatorial spaces
On Drift Induced by Local Transition Asymmetry in Combinatorial State Spaces
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Benchmark links LLM knowledge to business analyst
BizCompass: Benchmarking the Reasoning Capabilities of LLMs in Business Knowledge and Applications
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Diffusion extensions produce polycubes for complex CAD shapes
Scalable DDPM-Polycube: An Extended Diffusion-Based Method for Hexahedral Mesh and Volumetric Spline Construction
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Spectral features lift crash detection AUC by over 10 points
ORCA -- Online Regime Correlation Analyzer
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Mempool congestion sets Bitcoin fees via priority value
A Model and Estimation of the Bitcoin Transaction Fee
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Stablecoin pegs hinge on Treasury markets and blockchain rails
The Hidden Plumbing of Stablecoins: Financial and Technological Risks in the GENIUS Act Era
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Deep learning model retrieves snow depth from InSAR across years and sites
Deep Learning-Based Snow Depth Retrieval Using Sentinel-1 Repeat-Pass InSAR
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Sloan's Gömböc equations yield no mono-monostatic bodies
Sloan's Analytical G\"omb\"oc at Published $\beta$: A Strict-Convexity-Constrained Reanalysis
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Optimization yields first verified mono-monostatic geometry
Computational Construction and Engineering Evaluation of Verified Mono-Monostatic Bodies
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Generative models recover strain from video when physics is visible in motion
Watching Physics: the Generative Science of Matter and Motion
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Geospatial framework links climate hazards to California financial risks
Climate Risk Stress Testing in California: A Geospatial Framework for Banking and Climate-Exposed Sectors
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GAN generates 3D funicular shells never seen in training
Physics-informed, Generative Adversarial Design of Funicular Shells
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The paper introduces Latent Grammar Flow
Neuro-Symbolic ODE Discovery with Latent Grammar Flow
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AI models trail experts by 53 points on real CAD edits
neuralCAD-Edit: An Expert Benchmark for Multimodal-Instructed 3D CAD Model Editing