41 citations · 54 across the 14 of their papers we have counts for
14 papers
TARo: Token-level Adaptive Routing for LLM Test-time Alignment
Arushi Rai, Qiang Zhang, Hanqing Zeng +5
Large language models (LLMs) exhibit strong reasoning capabilities but typically require expensive post-training to reach high performance. Recent test-time alignment methods offer…
PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
Dipesh Tamboli, Vineet Punyamoorty, Atharv Pawar +1
Recent advances in generative image editing have enabled transformative applications, from professional head shot generation to avatar stylization. However, these systems often req…
Exploring System 1 and 2 communication for latent reasoning in LLMs
Julian Coda-Forno, Zhuokai Zhao, Qiang Zhang +6
Should LLM reasoning live in a separate module, or within a single model's forward pass and representational space? We study dual-architecture latent reasoning, where a fluent Base…
BalancedDPO: Adaptive Multi-Metric Alignment
Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare +3
Diffusion models have achieved remarkable progress in text-to-image generation, yet aligning them with human preference remains challenging due to the presence of multiple, sometim…
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran +2
Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learni…
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
Aditya Malusare, Harish Kothandaraman, Dipesh Tamboli +2
This paper presents the Ensemble Nucleotide Byte-level Encoder-Decoder (ENBED) foundation model, analyzing DNA sequences at byte-level precision with an encoder-decoder Transformer…
Domain Adaptive Few-Shot Open-Set Learning
Debabrata Pal, Deeptej More, Sai Bhargav +3
Few-shot learning has made impressive strides in addressing the crucial challenges of recognizing unknown samples from novel classes in target query sets and managing visual shifts…
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen, Dipesh Tamboli, Tian Lan +1
Multi-task Imitation Learning (MIL) aims to train a policy capable of performing a distribution of tasks based on multi-task expert demonstrations, which is essential for general-p…
RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework
Advait Kumar, Dipesh Tamboli, Shivam Pande +1
We tackle the problem of image inpainting in the remote sensing domain. Remote sensing images possess high resolution and geographical variations, that render the conventional inpa…
Explaining decision of model from its prediction
Dipesh Tamboli
This document summarizes different visual explanations methods such as CAM, Grad-CAM, Localization using Multiple Instance Learning - Saliency-based methods, Saliency-driven Class-…
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks
Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu +1
In this paper, we propose a data-free method of extracting Impressions of each class from the classifier's memory. The Deep Learning regime empowers classifiers to extract distinct…
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil +8
Development of either drought-resistant or drought-tolerant varieties in rice (Oryza sativa L.), especially for high yield in the context of climate change, is a crucial task acros…
Fast Design of Plasmonic Metasurfaces Enabled by Deep Learning
Abhishek Mall, Abhijeet Patil, Dipesh Tamboli +2
Metasurfaces is an emerging field that enables the manipulation of light by an ultra-thin structure composed of sub-wavelength antennae and fulfills an important requirement for mi…
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
Abhijeet Patil, Dipesh Tamboli, Swati Meena +2
Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of bre…