3 citations · 11 across the 9 of their papers we have counts for
9 papers
Representation-space diffusion models for generating periodic materials
Anshuman Sinha, Shuyi Jia, Victor Fung
Generative models hold the promise of significantly expediting the materials design process when compared to traditional human-guided or rule-based methodologies. However, effectiv…
Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio Pairs
Anshuman Sinha, Camille Migozzi, Aubin Rey +1
Research on multi-modal contrastive learning strategies for audio and text has rapidly gained interest. Contrastively trained Audio-Language Models (ALMs), such as CLAP, which esta…
Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands
Anshuman Sinha, Spencer H. Bryngelson
We demonstrate that neural networks can be FLOP-efficient integrators of one-dimensional oscillatory integrands. We train a feed-forward neural network to compute integrals of high…
The Optimal use of Segmentation for Sampling Calorimeters
Fernando Torales Acosta, Bishnu Karki, Piyush Karande +7
One of the key design choices of any sampling calorimeter is how fine to make the longitudinal and transverse segmentation. To inform this choice, we study the impact of calorimete…
Computational study of non-isothermal slag eye formation and its effects on ladle refining
Anshuman Sinha, Amarendra K. Singh
Ladle refining is one of the most important aspects of high-quality steel production. Ladle argon purging which facilitates the refining process also leads to the unwarranted openi…
Inverse 3D Microscopy Rendering for Cell Shape Inference with Active Mesh
Sacha Ichbiah, Anshuman Sinha, Fabrice Delbary +1
Traditional methods for biological shape inference, such as deep learning (DL) and active contour models, face important limitations in 3D. DL approaches require large annotated da…