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cs.LGcs.AIstat.MLcs.CLcs.CV

On Valency

published · living versions
W_eyupgefd·v2 · currentpublished
WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting
with Mihir Parmar, Palash Goyal, Bhavana Dalvi Mishra, Chun-Liang Li +4
2 versions

Preprints & journals

10 papers in the corpus · 2022–2026
WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting2610.26582v2 · Arjun Ashok, Mihir Parmar, Palash Goyal et al.2026 · 0 citationsarXivon Valency
Dr-CiK: A Benchmark testing Deep Research for Context-Aided Forecasting2605.27904v2 · Yihong Tang, Andrew Robert Williams, Arjun Ashok et al.2026 · 0 citationsarXiv
Overcoming the Modality Gap in Context-Aided Forecasting2603.12451v4 · Vincent Zhihao Zheng, 'Etienne Marcotte, Arjun Ashok et al.2026 · 0 citationsarXiv
Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting2603.08707v2 · Azul Garza, Ren'ee Rosillo, Rodrigo Mendoza-Smith et al.2026 · 0 citationsarXiv
Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs2508.09904v3 · Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng et al.2025 · 0 citationsarXiv
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting2310.08278v3 · Kashif Rasul, Arjun Ashok, Andrew Robert Williams et al.2023 · 42 citationsarXiv
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series2310.01327v2 · Arjun Ashok, 'Etienne Marcotte, Valentina Zantedeschi et al.2023 · 2 citationsarXiv
Learning Modular Structures That Generalize Out-of-Distribution2208.03753v1 · Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian2022 · 0 citationsarXiv
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer2208.03767v3 · Arjun Ashok, K J Joseph, Vineeth Balasubramanian2022 · 38 citationsarXiv
Career total: 12 works. 10 are in this corpus.

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