Abhimanyu Das
Environmental Science · Purdue University West Lafayette
Publications
84
Citations
1,745
Est. group size
~2
Recurring co-author estimate
Active years
25
Publishing since 2002
This researcher works primarily in machine learning, with a focus on time-series forecasting, statistical learning theory, and algorithm design for structured and multimodal data. Recent work includes building foundation models for time-series forecasting, developing methods for regression under noisy or heterogeneous data, and exploring feature engineering and graph-based learning techniques. Note that the listed OpenAlex topics (membrane technologies) do not match the actual publication record, which is centered on machine learning and statistics rather than environmental science.
Publication output has fluctuated over the last decade with a peak in 2021, followed by a moderately steady pace of around 5-7 papers per year through 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
arXiv (Cornell University) · 2026
- Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
arXiv (Cornell University) · 2026
- Evolutionary Feature Engineering for Structured Data
arXiv (Cornell University) · 2026
- Evolutionary Feature Engineering for Structured Data
arXiv (Cornell University) · 2026
- Rethinking Multimodal Time-Series Forecasting Evaluation
arXiv (Cornell University) · 2026
- Rethinking Multimodal Time-Series Forecasting Evaluation
arXiv (Cornell University) · 2026
- Comprehensive genomic screening and expression profiling of trihelix family in pearl millet under abiotic stresses with emphasis on functional insights of PgTHX24
Current Plant Biology · 2024
- In-Context Fine-Tuning for Time-Series Foundation Models
arXiv (Cornell University) · 2024
- Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data
arXiv (Cornell University) · 2024
- Linear Regression using Heterogeneous Data Batches
2024
- Long-term Forecasting with TiDE: Time-series Dense Encoder
arXiv (Cornell University) · 2023
- A decoder-only foundation model for time-series forecasting
arXiv (Cornell University) · 2023
- Transformers can optimally learn regression mixture models
arXiv (Cornell University) · 2023
- Linear Regression using Heterogeneous Data Batches
arXiv (Cornell University) · 2023
- Beyond GNNs: An Efficient Architecture for Graph Problems
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
- arXiv (Cornell University)×26
- Desalination×6
- SSRN Electronic Journal×3
- Energy×2
- Journal of Machine Learning Research×1
- Ali Naderi Beni
Environmental Science · Purdue University West Lafayette
- Woo‐Ju Kim
Environmental Science · The Ohio State University
- Akshay K. Rao
Environmental Science · Purdue University West Lafayette
- David M. Warsinger
Environmental Science · Purdue University West Lafayette
- Mostafa Dadashi Firouzjaei
Environmental Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile