Dhananjay Bhaskar

Orcid: 0000-0001-8068-3101

According to our database1, Dhananjay Bhaskar authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Learnable Filters for Geometric Scattering Modules.
IEEE Trans. Signal Process., 2024

Latent Representation Learning for Multimodal Brain Activity Translation.
CoRR, 2024

2023
Graph topological property recovery with heat and wave dynamics-based features on graphs.
CoRR, 2023

Inferring dynamic regulatory interaction graphs from time series data with perturbations.
CoRR, 2023

A Flow Artist for High-Dimensional Cellular Data.
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.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Wire Before You Walk.
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.
Nat. Mac. Intell., October, 2022

Guided Generative Protein Design using Regularized Transformers.
CoRR, 2022

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.
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.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021
Molecular Graph Generation via Geometric Scattering.
CoRR, 2021

2017
Polarization and migration in the zebrafish posterior lateral line system.
PLoS Comput. Biol., 2017


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