Dipesh Tamboli

According to our database, Dipesh Tamboli authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer.

Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal

IEEE J. Biomed. Health Informatics, May, 2024

2023

Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision.

Aditya Malusare, Harish Kothandaraman, Dipesh Tamboli, Nadia A. Lanman, Vaneet Aggarwal

CoRR, 2023

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning.

Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal

Proceedings of the International Conference on Machine Learning, 2023

Domain Adaptive Few-Shot Open-Set Learning.

Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework.

Advait Kumar, Dipesh Tamboli, Shivam Pande, Biplab Banerjee

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Explaining decision of model from its prediction.

Dipesh Tamboli

CoRR, 2021

2020

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes.

Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana

CoRR, 2020

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning.

Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi

CoRR, 2020

Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks.

Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee

Proceedings of the IEEE International Conference on Image Processing, 2020

Multi-source Open-Set Deep Adversarial Domain Adaptation.

Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri

Proceedings of the Computer Vision - ECCV 2020, 2020