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Interdisciplinary & Society
Economics, finance, engineering and the social sciences share preprints on arXiv, and papers in chemistry and the earth sciences reach ReadSearch through OpenAlex. This page shows the newest papers ReadSearch has read in them.
The newest 1,000 papers, from 8 October 2026 to 5 November 2026: 997 arXiv preprints and 3 OpenAlex records.
Newest papers, page 49
JEPA-kMMVAE: CSI Prediction for Time-Varying Wireless Channels
This paper considers channel state information (CSI) prediction using neural networks for time-varying multi-antenna channels from noisy historical observations.EmoGavel: Grounding-Aware Reinforcement Learning with Verifiable Rewards for Multimodal Emotion Preference Learning
Multimodal emotion preference learning uses pairwise comparisons to identify which open-ended emotion descriptions align more closely with human judgments.ECGWmark: Deep Watermarking for Electrocardiogram Signals
Secure transmission of electrocardiogram (ECG) signals remains a major challenge in telecardiology.Radiomics-Based Thyroid Nodule Classification with Label-Conditional Conformal Prediction
Thyroid nodule malignancy assessment relies on ultrasound imaging, yet current risk stratification systems suffer from substantial interobserver variability, contributing to a high rate of…Desertification Forecasting in Semi-Arid Regions: Using Deep Learning to Probe the Observability Limits of Land Degradation Dynamics
Forecasting desertification has received far less attention than mapping it.In-Context Learning for System Identification: Probabilistic Formulation, Long-Sequence Handling, and Benchmark Validation
Traditional system identification typically involves two steps: initially, training data is processed to estimate a model of the system of interest; then, the model is used to predict outputs for…One Thing Leads to Another: The Essentials of Time Series Causal Discovery
Time series causal discovery --- the process of detecting causation between time series --- has its roots in signal processing research from over a half century ago.Does Financial Speech Need Continual Learning Regularization? A Study of EWC and mini-KFAC on Earnings Call ASR
Earnings call transcription presents a realistic continual learning scenario where Automatic Speech Recognition (ASR) systems are updated with new recordings but risk catastrophic forgetting of…CNN-Transformer with Sigmoid Label for High-Resolution Sub-Degree DOA Estimation
This paper addresses the grid quantization error of deep-learning (DL)-based direction-of-arrival (DOA) estimation.Revisiting Accent Classification with DistilHuBERT: Speaker-Disjoint Evaluation and Cross-Corpus Generalization
Recent accent classification systems can achieve high accuracy in standard in-corpus evaluations.Realized Tail-Risk Conditional Autoregressive Expectile Models: Accurate and Stable Forecasting Performance
A realized tail-risk conditional autoregressive expectile (RTCARE) model is proposed for joint forecasting of value-at-risk (VaR) and expected shortfall (ES).Oído: Open-Vocabulary Speech Recognition on a $5 Microcontroller without a Neural Accelerator
Speech recognition on low-cost microcontrollers is, in practice, limited to keyword spotting or a fixed list of commands.A Scalable Learned Iterative Solver for Nonlinear MPC via Temporal Decomposition
Nonlinear model predictive control (NMPC) can be applied to large nonlinear systems with complex objectives while enforcing constraints, but the cost of solving the underlying optimization problems…Asymptotic Analysis of Discrete-Time Self-Attention Dynamics in Transformers
In machine learning, a self-attention dynamics describes the attention mechanism of transformers, and is obtained treating the layer index of a transformer as time index.Three options are roughly enough - Variance-optimal semi-static hedging in the rough Heston model
This paper studies semi-static variance-optimal hedging of variance swaps in the rough Heston model under a risk-neutral measure.$L_0$ Feature Selection via Monte Carlo Tree Search in High-Dimensional Financial Regression
Feature selection is a central problem in high-dimensional financial regression, where large numbers of engineered variables and strong correlations among predictors reduce model stability and…A data-driven heuristic-ensemble method for behavioural inference in collective-risk dilemma experiments
The collective-risk dilemma has become a paradigm for studying cooperation in a wide variety of social experiments, initiatives that generate increasingly rich datasets describing individual actions…AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs
Large Audio Language Models (LALMs) achieve strong performance on speech-text tasks, but standard audio encoders produce hundreds of tokens for even short audio clips.CorrFlow: Exact and Permutation-Equivariant Flow Matching on the Correlation Elliptope
Correlation matrices combine nonlinear positive-definiteness constraints with a simultaneous row-column permutation symmetry.Vocal Intensity Conversion with Continuous SPL Control via Adversarial Training
Vocal intensity conversion renders a recorded utterance at a different vocal intensity, rather than simply scaling its amplitude, while preserving its content and speaker identity.
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