Arjun Ashok

21 papers A* 6Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting.
CoRR
Azul Garza, Reneé Rosillo, Rodrigo Mendoza-Smith, David Salinas, Andrew Robert Williams, Arjun Ashok, Mononito Goswami, José Martín Juárez
2026 J jnl
Multi-Ecosystem Modeling of OSS Project Sustainability.
CoRR
Arjun Ashok, Nafiz Imtiaz Khan, Swati Singhvi, Stefan Stanciulescu, Zhouhao Wang, Vladimir Filkov
2026 J jnl
Overcoming the Modality Gap in Context-Aided Forecasting.
CoRR
Vincent Zhihao Zheng, Étienne Marcotte, Arjun Ashok, Andrew Robert Williams, Lijun Sun, Alexandre Drouin, Valentina Zantedeschi
2025 J jnl
Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs.
CoRR
Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin
2025 A* conf
Context is Key: A Benchmark for Forecasting with Essential Textual Information.
ICML
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2025 A* conf
OSSPREY: AI-Driven Forecasting and Intervention for OSS Project Sustainability.
ASE
Nafiz Imtiaz Khan, Priyal Soni, Arjun Ashok, Vladimir Filkov
2025 J jnl
Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting.
CoRR
Roland Riachi, Kashif Rasul, Arjun Ashok, Prateek Humane, Alexis Roger, Andrew Robert Williams, Yuriy Nevmyvaka, Irina Rish
2024 J jnl
Context is Key: A Benchmark for Forecasting with Essential Textual Information.
CoRR
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2024 J jnl
Creating a Cooperative AI Policymaking Platform through Open Source Collaboration.
CoRR
Aiden Lewington, Alekhya Vittalam, Anshumaan Singh, Anuja Uppuluri, Arjun Ashok, Ashrith Mandayam Athmaram, Austin Milt, Benjamin Smith, Charlie Weinberger, Chatanya Sarin, Christoph Bergmeir, Cliff Chang, Daivik Patel, Daniel Li, David Bell, Defu Cao, Donghwa Shin, Edward Kang, Edwin Zhang, Enhui Li, Felix Chen, Gabe Smithline, Haipeng Chen, Henry Gasztowtt, Hoon Shin, Jiayun Zhang, Joshua Gray, Khai Hern Low, Kishan Patel, Lauren Hannah Cooke, Marco Burstein, Maya Kalapatapu, Mitali Mittal, Raymond Chen, Rosie Zhao, Sameen Majid, Samya Potlapalli, Shang Wang, Shrenik Patel, Shuheng Li, Siva Komaragiri, Song Lu, Sorawit Siangjaeo, Sunghoo Jung, Tianyu Zhang, Valery Mao, Vikram Krishnakumar, Vincent Zhu, Wesley Kam, Xingzhe Li, Yumeng Liu
2024 A* conf
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series.
ICLR
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2024 J jnl
dsld: A Socially Relevant Tool for Teaching Statistics.
CoRR
Taha Abdullah, Arjun Ashok, Brandon Estrada, Norman Matloff, Aditya Mittal
2023 A* conf
Extremely Simple Activation Shaping for Out-of-Distribution Detection.
ICLR
Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu
2023 J jnl
Lag-Llama: Towards Foundation Models for Time Series Forecasting.
CoRR
Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Bilos, Hena Ghonia, Nadhir Vincent Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish
2023 J jnl
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series.
CoRR
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2022 J jnl
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.
CoRR
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi
2022 — conf
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer.
ECCV (27)
Arjun Ashok, K. J. Joseph, Vineeth N. Balasubramanian
2022 J jnl
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer.
CoRR
Arjun Ashok, K. J. Joseph, Vineeth Balasubramanian
2022 J jnl
Extremely Simple Activation Shaping for Out-of-Distribution Detection.
CoRR
Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu
2022 A* conf
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract).
AAAI
Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
2022 J jnl
Learning Modular Structures That Generalize Out-of-Distribution.
CoRR
Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian
2022 A* conf
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.
EMNLP
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen