On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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10 results for “IAMs”

Switching Economics for Physics and the Carbon Price Inflation: Problems in Integrated Assessment Models and their Implicationsq-fin.GN

IAMs overestimate carbon prices due to flawed modeling of technology transitions.

problem IAMs use CES function to model technology transitions, leading to unrealistic cost curves.

method Propose using dynamically varying elasticity of substitution instead of CES.

result IAMs' monotonically increasing carbon cost is an artifact of modeling, not reality.

IAMs CES function elasticity of substitution carbon pricing technology transitions

2016-03-20abs ↗pdf ↗

Intergenerational Equitable Climate Change Mitigation: Negative Effects of Stochastic Interest Rates; Positive Effects of Financingq-fin.MF

Model shows how discount rates affect intergenerational equity in climate mitigation.

problem Intergenerational equity in climate mitigation decisions.

method Extended DICE model with stochastic discount rates and financing extensions.

result Discount-rate uncertainty amplifies intergenerational inequality in climate mitigation.

climate mitigation discount rates intergenerational equity stochastic interest rates financing

2023-12-11abs ↗pdf ↗

Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networkscs.CV

HW2MP-GAN tackles ancient handwritten text recognition.

problem Automatic text recognition from ancient handwritten records.

method Conditional Generative Adversarial Network (HW2MP-GAN) with Sliced Wasserstein distance and U-Net architectures.

result HW2MP-GAN outperforms state-of-the-art models in image-to-image translation and handwritten recognition.

handwritten recognition image-to-image transformation conditional GAN Sliced Wasserstein distance U-Net

2019-10-11abs ↗pdf ↗

Structural Data Recognition with Graph Model Boostingcs.LG

Graph model boosting improves structural data recognition.

problem Limited structural variation capture in existing recognition methods.

method Constructs a large number of graph models and trains decision trees using a boosting framework.

result The proposed method outperforms existing methods on IAM graph database datasets.

graph model boosting structural data recognition graph models decision trees structural variation

2017-03-08abs ↗pdf ↗

Influence-aware Memory Architectures for Deep Reinforcement Learningcs.LG

IAM improves deep RL by selectively storing influential past observations.

problem Training and performance issues with recurrent neural networks in high-dimensional environments.

method Influence-aware memory architecture that restricts input to variables influencing hidden state.

result IAM outperforms standard RNNs in training speed and policy performance.

deep reinforcement learning memory architectures recurrent neural networks influence-aware training difficulties

2019-11-18abs ↗pdf ↗

Fast Multi-language LSTM-based Online Handwriting Recognitioncs.CL

System supports 102 languages with deep neural networks, reducing error rates and improving recognition speed.

problem Online handwriting recognition for multiple languages with high accuracy and speed.

method Deep neural network architecture, Bézier curves for input encoding, sequence recognition methods.

result Reduced error rates by 20%-40% for most languages, up to 10x faster recognition times.

handwriting recognition deep learning multi-language Bézier curves sequence recognition

2019-02-22abs ↗pdf ↗

Interaction-aware Factorization Machines for Recommender Systemscs.LG

IFM improves recommender systems by learning flexible feature interactions.

problem Dealing with feature interactions in recommender systems can degrade performance.

method Introduces Interaction-Aware Mechanism (IAM) to learn feature and field interactions.

result Improves performance on two well-known datasets compared to state-of-the-art methods.

recommender systems feature interactions factorization machines attention networks field prototypes

2019-02-26abs ↗pdf ↗

Propagation of a carbon price in a credit portfolio through macroeconomic factorsq-fin.RM

This study analyzes how carbon pricing affects credit risk measures in a portfolio.

problem Impact of carbon pricing on credit risk measures in a portfolio.

method Adapted stochastic multisectoral model to account for GHG emissions costs and carbon prices.

result Carbon pricing distorts firm value distributions, increases banking fees, and reduces profitability.

carbon pricing credit risk climate transition stochastic model probability of default

2023-07-24abs ↗pdf ↗

Intergenerational Equity in Models of Climate Change Mitigation: Stochastic Interest Rates introduce Adverse Effects, but (Non-linear) Funding Costs can Improve Intergenerational Equityq-fin.MF

Modeling climate change costs with stochastic interest rates shows inequality, but funding abatement can reduce this.

problem Evaluating the costs and benefits of climate change mitigation with uncertain discount rates.

method Amended DICE model with stochastic interest rates and funding abatement costs.

result Introducing funding abatement can reduce intergenerational inequality in climate change costs.

climate change stochastic interest rates climate mitigation intergenerational equity funding abatement

2023-09-28abs ↗pdf ↗

Boosting Handwriting Text Recognition in Small Databases with Transfer Learningcs.CV

Transfer learning improves handwriting recognition in small datasets.

problem Reduced training datasets for handwriting text recognition.

method Transfer learning from a larger database to a smaller one, focusing on retraining the whole CNNLSTM-CTC model.

result Significant improvement in character error rate (CER) with transfer learning, reducing CER from 18.2% to 3.3%.

handwriting recognition transfer learning small datasets character error rate CNNLSTM-CTC

2018-04-04abs ↗pdf ↗