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Every paper Pith has read. Search by title, abstract, or pith.
506 papers in cs.CE · page 7
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Momentum optimization matches NASDAQ growth with lower volatility
Taming the Black Swan: A Momentum-Gated Hierarchical Optimisation Framework for Asymmetric Alpha Generation
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Four-stage system flags financial LLM risks at 90 percent F1
Conversations Risk Detection LLMs in Financial Agents via Multi-Stage Generative Rollout
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Dynamic model simulates PSA nitrogen production for power-to-ammonia
Modeling and Simulation of Nitrogen Generation by Pressure Swing Adsorption for Power-to-Ammonia
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Scale-invariant method separates shape from dose in TVAM
Scale-invariant projection optimization in tomographic volumetric additive manufacturing
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Neural net learns input-dependent asymmetric uncertainties
Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
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Raw banking events train versatile financial foundation model
PRAGMA: Revolut Foundation Model
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LLM agents spark bubbles in mixed asset markets
Machine Spirits: Speculation and Adaptation of LLM Agents in Asset Markets
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Bayesian method localizes tendon breaks from fiber optic strain data
Bayesian Tendon Breakage Localization under Model Uncertainty Using Distributed Fiber Optic Sensors
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Unified framework equates NCE
A unifying view of contrastive learning, importance sampling, and bridge sampling for energy-based models
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φ-DeepONet modifies the DeepONet architecture to handle discontinuities by using multiple…
$\phi-$DeepONet: A Discontinuity Capturing Neural Operator
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Bayesian reconstruction cuts bathymetry error below adjoint optimization
Bathymetry Reconstruction by Bayesian Inference
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Sparse regression finds material models from mixed test data
Towards Rapid Constitutive Model Discovery from Multi-Modal Data: Physics Augmented Finite Element Model Updating (paFEMU)
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LLM-constrained RL gives molecular leads explicit synthesis routes
Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization
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Heterogeneity maximises productivity in distributed systems
The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
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Revised FMPM loop integrates full mass matrix with MPM contact
Improved Implementation of Approximate Full Mass Matrix Inverse Methods into Material Point Method Simulations
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Student-built games and campus researchers anchor requirements practice
Dead Code Doesn't Talk: Authentic Requirements Elicitation in Introductory Software Engineering
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Union methods solve magnetostatics with far fewer patches
Immersed boundary-conformal isogeometric methods for magnetostatics
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XR headset fuses AI modules for immersive career guidance
XR-CareerAssist: An Immersive Platform for Personalised Career Guidance Leveraging Extended Reality and Multimodal AI
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AI platform detects threats while training users to prevent breaches
SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training
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LLM agents run full FEA workflow from one photo
From Perception to Autonomous Computational Modeling: A Multi-Agent Approach
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Agent markets yield 3.2x wealth yet some designs reduce it
When Agent Markets Arrive
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Rolling-horizon model optimizes NBA franchise value under risk
A Rolling-Horizon Stochastic Optimization Framework for NBA Franchise Management with Distributionally Robust Risk Constraints
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Geometric regularization resolves shocks without limiters
Shocks without shock capturing: Information geometric regularization of finite volume methods for Navier--Stokes-like problems
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Augmented neural networks enable multiscale hyperelastic optimization
Multiscale topology optimization of compressible and nearly incompressible anisotropic hyperelastic structures using physics-augmented neural networks
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Hypernetwork maps forcing parameter to RL policy for chaotic PDEs
Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs
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DoMinO turns discrete flow matching sampling into unbiased RL
Discrete Flow Matching Policy Optimization
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LLM proof sketches expanded by trusted kernel for reliable reasoning
ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning
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Anisotropic Gaussians recover small-scale turbulence at high compression
Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
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Hybrid ML recovers symbolic equations and noise uncertainty from data
A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data
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Rough set variants mapped by granulation and uncertainty type
Handbook of Rough Set Extensions and Uncertainty Models
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Adaptive fingerprinting assembles complex hyperelastic models from features
Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity
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XR tool renders live sign language and emotion cues in virtual meetings
INTERACT: An AI-Driven Extended Reality Framework for Accesible Communication Featuring Real-Time Sign Language Interpretation and Emotion Recognition
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Modular AI platform enables multilingual XR education with sign language
AI-Driven Modular Services for Accessible Multilingual Education in Immersive Extended Reality Settings: Integrating Speech Processing, Translation, and Sign Language Rendering
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AutoSOTA discovers 105 new SOTA models from published papers
AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery
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Dataset shows LLM financial errors follow fixable patterns
SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning
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Quantum mixer in FNO trims parameters while improving laser simulation accuracy
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
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Conditional flow matching recovers granular interior fields from 11% boundary data
Generative modeling of granular flow on inclined planes using conditional flow matching
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Debit cashback program keeps rewards after refunds
Refunded but Rewarded: The Double Dip Attack on Cashback Reward Engines
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Financial standard makes AI agent trust contractually enforceable
Quantifying Trust: Financial Risk Management for Trustworthy AI Agents
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Nonlinear updating recovers stiffness parameters linear methods miss
Nonlinear Model Updating of Aerospace Structures via Taylor-Series Reduced-Order Models
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Discord sentiment improves MANA price forecasts
Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token
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Transformer maps loads to optimized structures in one pass
Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization
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PINN reconstructs microchannel flows with 150-200 times less data
Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
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Boltzmann equation in neural net models droplets on rough surfaces
Lattice-Boltzmann-Driven Physics-Informed Neural Networks for Droplet Wettability on Rough Surfaces
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Software suite cuts time to assemble self-driving labs
ARES OS 2.0: An Orchestration Software Suite for Autonomous Experimentation Systems and Self-Driving Labs
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Input-convex networks plus gradient damage remove mesh dependence
A Differentiable Framework for Gradient Enhanced Damage with Physics-Augmented Neural Networks in JAX-FEM
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AI designs burgers that beat Big Mac in blind tests
Generative AI for material design: A mechanics perspective from burgers to matter
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Attention U-Net predicts microchannel flows at 5% error
Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels
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Sketch-based GPU solver handles 5000-asset portfolios in seconds
Scalable Mean-Variance Portfolio Optimization via Subspace Embeddings and GPU-Friendly Nesterov-Accelerated Projected Gradient
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Point coupling of beams made consistent across theories
A variationally consistent beam-to-beam point coupling formulation for geometrically exact beam theories