Dhananjay Bhaskar

According to our database, Dhananjay Bhaskar authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learnable Filters for Geometric Scattering Modules.

Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf

IEEE Trans. Signal Process., 2024

ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics.

Siddharth Viswanath, Dhananjay Bhaskar, David R. Johnson, João F. Rocha, Egbert Castro, Jackson D. Grady, Alex T. Grigas, Michael A. Perlmutter, Corey S. O'Hern, Smita Krishnaswamy

CoRR, 2024

Looking through the mind's eye via multimodal encoder-decoder networks.

Arman Afrasiyabi, Erica L. Busch, Rahul Singh, Dhananjay Bhaskar, Laurent Caplette, Nicholas B. Turk-Browne, Smita Krishnaswamy

CoRR, 2024

Latent Representation Learning for Multimodal Brain Activity Translation.

Arman Afrasiyabi, Dhananjay Bhaskar, Erica L. Busch, Laurent Caplette, Rahul Singh, Guillaume Lajoie, Nicholas B. Turk-Browne, Smita Krishnaswamy

CoRR, 2024

2023

Graph topological property recovery with heat and wave dynamics-based features on graphs.

Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy

CoRR, 2023

Inferring dynamic regulatory interaction graphs from time series data with perturbations.

Dhananjay Bhaskar, Daniel Sumner Magruder, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy

CoRR, 2023

A Flow Artist for High-Dimensional Cellular Data.

Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations.

Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Wire Before You Walk.

Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Transformer-based protein generation with regularized latent space optimization.

Egbert Castro, Abhinav Godavarthi, Julian A. Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy

Nat. Mac. Intell., October, 2022

Guided Generative Protein Design using Regularized Transformers.

Egbert Castro, Abhinav Godavarthi, Julian A. Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy

CoRR, 2022

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.

Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Molecular Graph Generation via Geometric Scattering.

Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021

Molecular Graph Generation via Geometric Scattering.

Dhananjay Bhaskar, Jackson D. Grady, Michael A. Perlmutter, Smita Krishnaswamy

CoRR, 2021

2017

Polarization and migration in the zebrafish posterior lateral line system.

Hildur Knutsdottir, Cole Zmurchok, Dhananjay Bhaskar, Eirikur Palsson, Damian Dalle Nogare, Ajay B. Chitnis, Leah Edelstein-Keshet

PLoS Comput. Biol., 2017