Skip to content

Category

data science

3,683 papers

#artificial intelligence Preprint Open access Nov 2026

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing

Soft Actor-Critic (SAC) and its variants dominate Multi-Task Reinforcement Learning (MTRL) due to their off-policy sample efficiency, while on-policy methods such as Proximal Policy Optimization (PPO) remain underexplored. We diagnose that PPO in MTRL suffers from a previously overlooked issue: critic-side gradient ill...

Yuanpeng Li, Gefei Lin, Annie Qu et al. · 0 citations
#artificial intelligence Preprint Open access Nov 2026

A simple adaptive accelerated optimistic dual averaging method for unconstrained convex optimization in $p$-norm geometry

Efficient preconditioning plays an important role in large-scale first-order optimization. In this paper, we propose an adaptive accelerated optimistic dual averaging ($\text{A}^2$ODA) method for unconstrained convex optimization that adopts low-cost preconditioning based on $p$-norm geometry for $p\in[2,\infty]$. The...

Bowen Li, Danqing Zhou, Chuan He · 0 citations
#artificial intelligence Preprint Open access Nov 2026

UniFlow: Unified Multi-Scale Flow Matching for Time Series Generation

Real-world time series exhibit complex dynamics across multiple temporal resolutions, yet effectively incorporating multi-scale information into generative modeling remains challenging without increasing generative complexity. We propose UniFlow, a unified framework that integrates multi-scale representation learning w...

Shibo Feng, Wei Li, Min Wu et al. · 0 citations
#artificial intelligence Preprint Open access Nov 2026

OmniST: Topology-Invariant Spatiotemporal Forecasting with Guaranteed-Coverage Uncertainty at Unseen Sensor Locations

Standard spatiotemporal graph convolutional networks need a fixed-size adjacency matrix, coupling model weights to a specific sensor count N; they cannot produce any output at a sensor absent from training. We present OmniST, a topology-invariant forecaster whose computation has zero structural dependency on the number...

Praveg Vashishtha · 0 citations
#artificial intelligence Preprint Open access Nov 2026

Amortized Nonlinear Variable Selection with Prior-Data Fitted Networks

Variable selection is an important task for interpreting potentially complex systems in fields such as biology, business, and sociology. The importance of variable selection has attracted considerable attention in statistics and machine learning. In this paper, we are mainly interested in model-agnostic variable select...

Jin Zhu, Junxian Zhu · 0 citations
#artificial intelligence Preprint Open access Nov 2026

Where Is the Truth When AI Agents Disagree? Dependence-Aware Belief Propagation for Unsupervised Truth Discovery (Extended Version)

LLM agents often give conflicting answers to the same question, and many deployed agents are variants of one base model, so their errors are correlated. We study truth discovery among such agents: inferring the true answer and each agent's reliability without labels. Classical truth-discovery and crowdsourcing estimato...

Laure Berti-Equille · 0 citations
#computer vision Nov 2024

TimeLess: A Vision for the Next Generation of Software Development

A vision for a system called TimeLess, designed to reshape the software development process by enabling immediate action during meetings and allowing teams to focus on critical decision-making while AI agents execute development tasks based on the meeting discussions.

Z. Rasheed, M. Sami, Jussi Rasku et al. · 6 citations
#computer vision Review Open access Mar 2016

Determinants of overweight or obesity among ever-married adult women in Bangladesh

BackgroundThe prevalence of overweight and obesity is increasing in Bangladesh. It is higher among Bangladeshi women than among men. This study was conducted to assess a host of demographic and socioeconomic correlates of overweight and obesity, separately for the urban and rural women of Bangladesh.MethodsWe used data...

Haribondhu Sarma, N. Saquib, M. Hasan et al. · 75 citations · ⚡5
#data science Review Open access Dec 2017

Trends and inequities in use of maternal health care services in Indonesia, 1986–2012

Purpose Overall health status indicators have improved significantly over the past three decades in Indonesia. However, the country’s maternal mortality ratio remains high with a stark inequality by region. Fewer studies have explored access inequity in maternal health care service over time using multiple inequality m...

Herfina Y. Nababan, M. Hasan, Tiara Marthias et al. · 64 citations · ⚡2
#data science Review Open access Jul 2018

Socio-economic and Demographic Determinants of Women’s Household Decision Making Autonomy in Bangladesh: A Cross-sectional Study

Women’s autonomy is an important element of the economic and reproductive health developments in a country. The aim of this study was to find out the potential factors associated with women’s decision-making autonomy in Bangladesh. To fulfill this purpose, the cross-sectional data obtained from the Bangladesh Demograph...

K. Sen, Mirajul Islam, M. Hasan · 2 citations
#human-computer interacti... Open access Aug 2020

Association of plasma low-density lipoprotein receptor-related protein-1 (LRP1) with undernutrition: a case-control study in Bangladeshi adults

Investigation of the relationship of LRP1 with undernutrition in Bangladeshi slum-dwelling adults found that increased level of L RP1 is associated with increased BMI, whereas lower level isassociated with low BMI.

M. Hasan, S. M. Fahim, Subhasish Das et al. · 3 citations
#data science Open access Apr 2020

Helicobacter pylori infection is associated with fecal biomarkers of environmental enteric dysfunction but not with the nutritional status of children living in Bangladesh

The study findings affirmed that the acquisition and persistence of H. pylori infection in the early years of life may exert an adverse impact on intestinal health, induce gut inflammation and result in increased intestinal permeability.

S. M. Fahim, Subhasish Das, Md. Amran Gazi et al. · 18 citations

From tech blogs

See all →
GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.