Dipesh Tamboli
Computer Science · Purdue University West Lafayette
Publications
20
Citations
75
Est. group size
~1
Recurring co-author estimate
Active years
8
Publishing since 2019
Dipesh Tamboli works in computer science, applying machine learning methods to a variety of problems including domain adaptation (getting models trained on one type of data to work on another), few-shot and open-set learning (recognizing new categories with limited examples), generative image editing, and reinforcement learning for sequential decision-making. Application areas in the publication record include healthcare (sepsis treatment, breast cancer histopathology, DNA sequence modeling), remote sensing image inpainting, and agricultural image analysis.
Publication output has fluctuated over the last decade, rising to peaks in 2020 and 2023 with a gap in 2025, suggesting an irregular rather than steadily growing or declining cadence.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
IEEE Transactions on Artificial Intelligence · 2026
- TARo: Token-level Adaptive Routing for LLM Test-time Alignment
arXiv (Cornell University) · 2026
- TARo: Token-level Adaptive Routing for LLM Test-time Alignment
arXiv (Cornell University) · 2026
- Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer
IEEE Journal of Biomedical and Health Informatics · 2024
- Understanding the natural language of DNA using encoder–decoder foundation models with byte-level precision
Bioinformatics Advances · 2024
- Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
arXiv (Cornell University) · 2024
- Prediction of the color change of surface thermally treated wood by artificial neural network
European Journal of Wood and Wood Products · 2023
- Domain Adaptive Few-Shot Open-Set Learning
2023
- Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
arXiv (Cornell University) · 2023
- Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
PubMed · 2023
- Domain Adaptive Few-Shot Open-Set Learning
arXiv (Cornell University) · 2023
- RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
- RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework
arXiv (Cornell University) · 2022
- Explaining decision of model from its prediction
arXiv (Cornell University) · 2021
- Multi-source Open-Set Deep Adversarial Domain Adaptation
Lecture notes in computer science · 2020
- arXiv (Cornell University)×10
- IEEE Journal of Biomedical and Health Informatics×1
- Bioinformatics Advances×1
- European Journal of Wood and Wood Products×1
- Lecture notes in computer science×1
- Amitangshu Mukherjee
Computer Science · Purdue University West Lafayette
- Minyoung Kim
Computer Science · The Ohio State University
- Xiyu Wang
Computer Science · Purdue University West Lafayette
- Jianmin Wang
Computer Science · Purdue University West Lafayette
- Cheng-Hao Tu
Computer Science · The Ohio State University
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