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20172026
most citedPhysics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

311 citations · 393 across the 20 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CR2024★ 1 cited

AI-generated Image Detection: Passive or Watermark?

Moyang Guo, Yuepeng Hu, Zhengyuan Jiang +4

While text-to-image models offer numerous benefits, they also pose significant societal risks. Detecting AI-generated images is crucial for mitigating these risks. Detection method…

cs.LG2024

Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images

Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub +1

Machine learning models are known to be vulnerable to adversarial attacks, but traditional attacks have mostly focused on single-modalities. With the rise of large multi-modal mode…

cs.LG2024

A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations

Naveen Gupta, Medha Sawhney, Arka Daw +2

In subsurface imaging, learning the mapping from velocity maps to seismic waveforms (forward problem) and waveforms to velocity (inverse problem) is important for several applicati…

cs.CV2024

What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits

Harish Babu Manogaran, M. Maruf, Arka Daw +12

A grand challenge in biology is to discover evolutionary traits - features of organisms common to a group of species with a shared ancestor in the tree of life (also referred to as…

cs.CV2024★ 2 cited

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images

M. Maruf, Arka Daw, Kazi Sajeed Mehrab +19

Images are increasingly becoming the currency for documenting biodiversity on the planet, providing novel opportunities for accelerating scientific discoveries in the field of orga…

q-bio.PE2024

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution

Mridul Khurana, Arka Daw, M. Maruf +12

A central problem in biology is to understand how organisms evolve and adapt to their environment by acquiring variations in the observable characteristics or traits of species acr…

cs.CV2024★ 1 cited

Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images

Kazi Sajeed Mehrab, M. Maruf, Arka Daw +16

We introduce Fish-Visual Trait Analysis (Fish-Vista), the first organismal image dataset designed for the analysis of visual traits of aquatic species directly from images using pr…

cs.LG2024

Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations

Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena +1

Neural operators such as the Fourier Neural Operator (FNO) have been shown to provide resolution-independent deep learning models that can learn mappings between function spaces. F…