I am a Visiting Researcher (Full-Time) at ServiceNow Research, Montreal and a PhD student at MILA-Quebec AI Institute and CERC-AAI, Université de Montréal advised by Irina Rish and Alexandre Drouin. At ServiceNow, I also work closely with Étienne Marcotte, Valentina Zantedeschi and Nicolas Chapados. My current research interests are in time series forecasting and decision-making, with a focus on designing scalable general-purpose models for time series prediction tasks (forecasting, interpolation, imputation etc).
My email address is arjun.ashok [at] servicenow [dot] com.
Feb '24 | The full version of Lag-Llama released with open-source model checkpoints! Check the announcement here! |
Jan '24 | I gave a talk on our efforts Towards General-Purpose Models for Time-Series Prediction at the Winter 2024 Montreal Time Series Meetup. |
Jan '24 | TACTiS-2 accepted at ICLR 2024! |
Dec '23 | I gave a talk on Building Foundation Models for Time Series Data at the 6th workshop on Neural Scaling Laws co-located with NeurIPS 2023. |
Oct '23 | TACTiS-2 is out on arXiv. |
Oct '23 | A preliminary version of Lag-Llama is out on arXiv. |
Jan '23 | One paper on out-of-distribution detection accepted to ICLR 2023. This is work in collaboration with folks at ML Collective mentored by Rosanne Liu. |
Jan '23 | Started as a Visiting Researcher (Full-Time) at ServiceNow Research, Montreal. Excited to continue working on problems in time series representation learning! |
Aug '22 | Preliminary work on self-supervised learning objectives for weather time series accepted at the AAAI 2022 Fall Symposium on Climate Change. |
Jul '22 | One paper on Class-Incremental Learning accepted as a full paper at ECCV 2022. |
Jun '22 | Started as a Research Intern at IBM Research, India. I'll be working on building self-supervised learning objectives and pre-trained models for geospatial weather time series. |
Jun '22 | One paper on cross-task generalization in NLP submitted to EMNLP 2022 (Update: Accepted). |
Apr '22 | One paper on Class-Incremental Learning accepted at the CLVISION Workshop at CVPR 2022 as a non-archival paper (Update: Accepted at ECCV 2022). |
Apr '22 | One reproducibility report on Self-Supervision and Few-shot Learning accepted at the ML Reproducibility Challenge 2021 (Fall Edition) and published at ReScience-C. |
Oct '21 | One paper on out-of-distribution generalization accepted as AAAI 2022 as a student abstract. |
Jun '21 | Started as a Research Assistant at IIT Hyderabad under Prof. Vineeth Balasubramanian. |
TL;DR Abstract arXiv Code OpenReview
TL;DR Abstract Paper Code Weights Demo Tweet
TL;DR Abstract Paper arXiv Project Page Code
TL;DR Abstract arXiv Project Page Code
TL;DR Abstract arXiv Dataset Code Project Page
I am a Carnatic Vocalist and a student of Vidwan Bharat Sundar. I have performed Carnatic concerts in multiple venues in India, and continue to perform in Montréal. |