Dhananjay Bhaskar

27 papers A* 1Misc 3Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data.
CoRR
Xingzhi Sun, João F. Rocha, Brett Phelan, Dhananjay Bhaskar, Guillaume Huguet, Yanlei Zhang, Daniel Sumner Magruder, Alexander Tong, Ke Xu, Oluwadamilola Fasina, Mark Gerstein, Guy Wolf, Natalia Ivanova, Christine L. Chaffer, Smita Krishnaswamy
2025 J jnl
HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data.
CoRR
Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, David R. Johnson, Rex Ying, Christopher J. Tape, Ian Adelstein, Michael Perlmutter, Smita Krishnaswamy
2025 Misc conf
Latent Representation Learning for Multimodal Brain Activity Translation.
ICASSP
Arman Afrasiyabi, Dhananjay Bhaskar, Erica L. Busch, Laurent Caplette, Rahul Singh, Guillaume Lajoie, Nicholas B. Turk-Browne, Smita Krishnaswamy
2025 J jnl
Linearized Optimal Transport for Analysis of High-Dimensional Point-Cloud and Single-Cell Data.
CoRR
Tianxiang Wang, Yingtong Ke, Dhananjay Bhaskar, Smita Krishnaswamy, Alexander Cloninger
2025 Misc conf
Principal Curvatures Estimation with Applications to Single Cell Data.
ICASSP
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
Principal Curvatures Estimation with Applications to Single Cell Data.
CoRR
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 — conf
STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics.
MLCB
João F. Rocha, Ke Xu, Xingzhi Sun, Ananya Krishna, Dhananjay Bhaskar, Blanche Mongeon, Morgan Craig, Mark Gerstein, Smita Krishnaswamy
2025 J jnl
STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics.
CoRR
João F. Rocha, Ke Xu, Xingzhi Sun, Ananya Krishna, Dhananjay Bhaskar, Blanche Mongeon, Morgan Craig, Mark Gerstein, Smita Krishnaswamy
2024 J jnl
Exploring the Manifold of Neural Networks Using Diffusion Geometry.
CoRR
Elliott Abel, Peyton Crevasse, Yvan Grinspan, Selma Mazioud, Folu Ogundipe, Kristof Reimann, Ellie Schueler, Andrew J. Steindl, Ellen Zhang, Dhananjay Bhaskar, Siddharth Viswanath, Yanlei Zhang, Tim G. J. Rudner, Ian Adelstein, Smita Krishnaswamy
2024 J jnl
Latent Representation Learning for Multimodal Brain Activity Translation.
CoRR
Arman Afrasiyabi, Dhananjay Bhaskar, Erica L. Busch, Laurent Caplette, Rahul Singh, Guillaume Lajoie, Nicholas B. Turk-Browne, Smita Krishnaswamy
2024 J jnl
Learnable Filters for Geometric Scattering Modules.
IEEE Trans. Signal Process.
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2024 J jnl
Looking through the mind's eye via multimodal encoder-decoder networks.
CoRR
Arman Afrasiyabi, Erica L. Busch, Rahul Singh, Dhananjay Bhaskar, Laurent Caplette, Nicholas B. Turk-Browne, Smita Krishnaswamy
2024 J jnl
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics.
CoRR
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
2023 — conf
A Flow Artist for High-Dimensional Cellular Data.
MLSP
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2023 J jnl
A Flow Artist for High-Dimensional Cellular Data.
CoRR
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2023 J jnl
Graph topological property recovery with heat and wave dynamics-based features on graphs.
CoRR
Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy
2023 — conf
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations.
LoG
Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
2023 J jnl
Inferring dynamic regulatory interaction graphs from time series data with perturbations.
CoRR
Dhananjay Bhaskar, Daniel Sumner Magruder, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
2023 Misc conf
Wire Before You Walk.
ACSSC
Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter
2022 A* conf
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.
NeurIPS
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
2022 J jnl
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.
CoRR
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
2022 J jnl
Guided Generative Protein Design using Regularized Transformers.
CoRR
Egbert Castro, Abhinav Godavarthi, Julian A. Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy
2022 J jnl
Learnable Filters for Geometric Scattering Modules.
CoRR
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2022 — conf
Molecular Graph Generation via Geometric Scattering.
MLSP
Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy
2022 J jnl
Transformer-based protein generation with regularized latent space optimization.
Nat. Mac. Intell.
Egbert Castro, Abhinav Godavarthi, Julian A. Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy
2021 J jnl
Molecular Graph Generation via Geometric Scattering.
CoRR
Dhananjay Bhaskar, Jackson D. Grady, Michael A. Perlmutter, Smita Krishnaswamy
2017 J jnl
Polarization and migration in the zebrafish posterior lateral line system.
PLoS Comput. Biol.
Hildur Knutsdottir, Cole Zmurchok, Dhananjay Bhaskar, Eirikur Palsson, Damian Dalle Nogare, Ajay B. Chitnis, Leah Edelstein-Keshet