Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2505.10607
Cited By

MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices

v1v2 (latest)

MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices

15 May 2025

ArXiv (abs)PDF HTML Github

Papers citing "MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices"

3 / 3 papers shown

Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation

Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation

416

21

0

03 Feb 2025

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via VisualizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024

548

32

0

09 Nov 2024

HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark

HW-NAS-Bench:Hardware-Aware Neural Architecture Search BenchmarkInternational Conference on Learning Representations (ICLR), 2021

Yue Wang

343

126

0

19 Mar 2021

Page 1 of 1