Smita Krishnaswamy

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 95

Top Venues

Publications

Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS (2024)
Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CISS (2024)
Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
Bayesian Spectral Graph Denoising with Smoothness Prior. CISS (2024)
Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy
ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. CoRR (2024)
Aarthi Venkat, Joyce A. Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy
Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis. ICASSP (2024)
Ho-Joon Lee, Lee H. Schwamm, Lauren H. Sansing, Hooman Kamel, Adam DeHavenon, Ashby C. Turner, Kevin N. Sheth, Smita Krishnaswamy, Cynthia Brandt, Hongyu Zhao, Harlan M. Krumholz, Richa Sharma
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records. npj Digit. Medicine 7 (1) (2024)
Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. RECOMB (2024)
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
Learnable Filters for Geometric Scattering Modules. IEEE Trans. Signal Process. 72 (2024)
Aarthi Venkat, Joyce Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis. CoRR (2023)
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. CoRR (2023)
Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy
Graph topological property recovery with heat and wave dynamics-based features on graphs. CoRR (2023)
Dhananjay Bhaskar, Daniel Sumner Magruder, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
Inferring dynamic regulatory interaction graphs from time series data with perturbations. CoRR (2023)
Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR (2023)
Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations. LoG (2023)
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
A Flow Artist for High-Dimensional Cellular Data. CoRR (2023)
Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy
Bayesian Formulations for Graph Spectral Denoising. CoRR (2023)
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
A Flow Artist for High-Dimensional Cellular Data. MLSP (2023)
Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter
Wire Before You Walk. ACSSC (2023)
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Neural FIM for learning Fisher Information Metrics from point cloud data. CoRR (2023)
Samuel Leone, Aarthi Venkat, Guillaume Huguet, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Graph Fourier MMD for Signals on Graphs. CoRR (2023)
Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CoRR (2023)
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. NeurIPS (2023)
Joyce Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter
Manifold Filter-Combine Networks. CoRR (2023)
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Neural FIM for learning Fisher information metrics from point cloud data. ICML (2023)
Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Christopher J. Tape, Guy Wolf, Smita Krishnaswamy
Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds. MLSP (2023)
Erica L. Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy, Nicholas B. Turk-Browne
Multi-view manifold learning of human brain-state trajectories. Nat. Comput. Sci. 3 (3) (2023)
Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
Time-Inhomogeneous Diffusion Geometry and Topology. SIAM J. Math. Data Sci. 5 (2) (2023)
Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
Time-inhomogeneous diffusion geometry and topology. CoRR (2022)
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. NeurIPS (2022)
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
Learnable Filters for Geometric Scattering Modules. CoRR (2022)
Egbert Castro, Abhinav Godavarthi, Julian Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy
Guided Generative Protein Design using Regularized Transformers. CoRR (2022)
Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance. ICASSP (2022)
Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
The Manifold Scattering Transform for High-Dimensional Point Cloud Data. CoRR (2022)
Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
Exploring the Geometry and Topology of Neural Network Loss Landscapes. IDA (2022)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning shared neural manifolds from multi-subject FMRI data. CoRR (2022)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning Shared Neural Manifolds from Multi-Subject FMRI Data. MLSP (2022)
Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference. NeurIPS (2022)
Matthew Amodio, Scott E. Youlten, Aarthi Venkat, Beatriz P. San Juan, Christine L. Chaffer, Smita Krishnaswamy
Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer. Patterns 3 (9) (2022)
Egbert Castro, Abhinav Godavarthi, Julian Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy
Transformer-based protein generation with regularized latent space optimization. Nat. Mac. Intell. 4 (10) (2022)
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. CoRR (2022)
Joyce Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter
The Manifold Scattering Transform for High-Dimensional Point Cloud Data. TAG-ML (2022)
Joyce Chew, Matthew J. Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu
Geometric Scattering on Measure Spaces. CoRR (2022)
Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Guy Wolf, Smita Krishnaswamy
Geodesic Sinkhorn: optimal transport for high-dimensional datasets. CoRR (2022)
Guillaume Huguet, Daniel Sumner Magruder, Oluwadamilola Fasina, Alexander Tong, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference. CoRR (2022)
Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy
Molecular Graph Generation via Geometric Scattering. MLSP (2022)
Alexander Tong, Guy Wolf, Smita Krishnaswamy
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators. J. Signal Process. Syst. 94 (2) (2022)
Matthew Amodio, Feng Gao, Arman Avesta, Sanjay Aneja, Lucian V. Del Priore, Jay Wang, Smita Krishnaswamy
CUTS: A Fully Unsupervised Framework for Medical Image Segmentation. CoRR (2022)
Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance. CoRR (2021)
Matthew Amodio, Smita Krishnaswamy
Noise Space Optimization for GANs. IJCNN (2021)
Dhananjay Bhaskar, Jackson D. Grady, Michael A. Perlmutter, Smita Krishnaswamy
Molecular Graph Generation via Geometric Scattering. CoRR (2021)
Matthew Amodio, Dennis L. Shung, Daniel B. Burkhardt, Patrick Wong, Michael Simonov, Yu Yamamoto, David van Dijk, Francis Perry Wilson, Akiko Iwasaki, Smita Krishnaswamy
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference. Patterns 2 (7) (2021)
Manik Kuchroo, Abhinav Godavarthi, Guy Wolf, Smita Krishnaswamy
Multimodal data visualization, denoising and clustering with integrated diffusion. CoRR (2021)
Manik Kuchroo, Abhinav Godavarthi, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Multimodal Data Visualization and Denoising with Integrated Diffusion. MLSP (2021)
Christopher Lance, Malte D. Lücken, Daniel B. Burkhardt, Robrecht Cannoodt, Pia Rautenstrauch, Anna Laddach, Aidyn Ubingazhibov, Zhi-Jie Cao, Kaiwen Deng, Sumeer Khan, Qiao Liu, Nikolay Russkikh, Gleb Ryazantsev, Uwe Ohler, Angela Oliveira Pisco, Jonathan Bloom, Smita Krishnaswamy, Fabian J. Theis
Multimodal single cell data integration challenge: Results and lessons learned. NeurIPS (Competition and Demos) (2021)
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. CoRR (2021)
Malte Lücken, Daniel Burkhardt, Robrecht Cannoodt, Christopher Lance, Aditi Agrawal, Hananeh Aliee, Ann Chen, Louise Deconinck, Angela Detweiler, Alejandro Granados, Shelly Huynh, Laura Isacco, Yang Kim, Dominik Klein, Bony de Kumar, Sunil Kuppasani, Heiko Lickert, Aaron McGeever, Joaquin Melgarejo, Honey Mekonen, Maurizio Morri, Michaela Müller, Norma Neff, Sheryl Paul, Bastian Rieck, Kaylie Schneider, Scott Steelman, Michael Sterr, Daniel Treacy, Alexander Tong, Alexandra-Chloé Villani, Guilin Wang, Jia Yan, Ce Zhang, Angela Pisco, Smita Krishnaswamy, Fabian J. Theis, Jonathan M. Bloom
A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. NeurIPS Datasets and Benchmarks (2021)
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
Diffusion Earth Mover's Distance and Distribution Embeddings. ICML (2021)
Matthew Amodio, Smita Krishnaswamy
Canvas GAN: Bootstrapped Image-Conditional Models. IJCNN (2021)
Matthew Amodio, Smita Krishnaswamy
Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior. IDA (2021)
Alexander Tong, Frederick Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf
Data-Driven Learning of Geometric Scattering Modules for GNNs. MLSP (2021)
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. IEEE BigData (2021)
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
Diffusion Earth Mover's Distance and Distribution Embeddings. CoRR (2021)
Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy
Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs. CoRR (2021)
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. CoRR (2020)
Tobias Brudermueller, Dennis L. Shung, Loren Laine, Adrian J. Stanley, Stig B. Laursen, Harry R. Dalton, Jeffrey Ngu, Michael Schultz, Johannes Stegmaier, Smita Krishnaswamy
Making Logic Learnable With Neural Networks. CoRR (2020)
Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. NeurIPS (2020)
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings. IEEE BigData (2020)
Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. CoRR (2020)
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings. CoRR (2020)
Matthew Amodio, Rim Assouel, Victor Schmidt, Tristan Sylvain, Smita Krishnaswamy, Yoshua Bengio
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer. CoRR (2020)
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. ICML (2020)
Jay S. Stanley III, Scott Gigante, Guy Wolf, Smita Krishnaswamy
Harmonic Alignment. SDM (2020)
Alexander Tong, Guy Wolf, Smita Krishnaswamy
Fixing Bias in Reconstruction-Based Anomaly Detection with Lipschitz Discriminators. MLSP (2020)
Matthew Amodio, David van Dijk, Guy Wolf, Smita Krishnaswamy
Learning General Transformations of Data for Out-of-Sample Extensions. MLSP (2020)
Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy
Interpretable Neuron Structuring with Graph Spectral Regularization. IDA (2020)
Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf
Data-Driven Learning of Geometric Scattering Networks. CoRR (2020)
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Finding Archetypal Spaces Using Neural Networks. IEEE BigData (2019)
Matthew Amodio, Smita Krishnaswamy
Generating and Aligning from Data Geometries with Generative Adversarial Networks. CoRR (2019)
Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. IEEE BigData (2019)
Matthew Amodio, Smita Krishnaswamy
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. CVPR (2019)
Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne
Visualizing the PHATE of Neural Networks. CoRR (2019)
Matthew Amodio, Smita Krishnaswamy
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning. CoRR (2019)
Alexander Tong, Guy Wolf, Smita Krishnaswamy
A Lipschitz-constrained anomaly discriminator framework. CoRR (2019)
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Finding Archetypal Spaces for Data Using Neural Networks. CoRR (2019)
Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne
Visualizing the PHATE of Neural Networks. NeurIPS (2019)
Daniel B. Burkhardt, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
Vertex-Frequency Clustering. DSW (2019)
Scott Gigante, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy
Compressed Diffusion. CoRR (2019)
Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. CoRR (2019)
Matthew Amodio, Smita Krishnaswamy
MAGAN: Aligning Biological Manifolds. ICML (2018)
Ofir Lindenbaum, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
Geometry Based Data Generation. NeurIPS (2018)
David van Dijk, Scott Gigante, Alexander Strzalkowski, Guy Wolf, Smita Krishnaswamy
Modeling Dynamics with Deep Transition-Learning Networks. CoRR (2018)
Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
Manifold Alignment with Feature Correspondence. CoRR (2018)
Matthew Amodio, Smita Krishnaswamy
MAGAN: Aligning Biological Manifolds. CoRR (2018)
Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy
Graph Spectral Regularization for Neural Network Interpretability. CoRR (2018)
Ofir Lindenbaum, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
Geometry-Based Data Generation. CoRR (2018)
Haoxing Ren, Ruchir Puri, Lakshmi N. Reddy, Smita Krishnaswamy, Cindy Washburn, Joel Earl, Joachim Keinert
Intuitive ECO synthesis for high performance circuits. DATE (2013)
Smita Krishnaswamy, Bernd Bodenmiller, Dana Pe'er
Can CAD cure cancer? DAC (2013)
Tobias Welp, Smita Krishnaswamy, Andreas Kuehlmann
Generalized SAT-sweeping for post-mapping optimization. DAC (2012)
Douglas Densmore, Mark Horowitz, Smita Krishnaswamy, Xiling Shen, Adam P. Arkin, Erik Winfree, Chris Voigt
Joint DAC/IWBDA special session design and synthesis of biological circuits. DAC (2011)
David A. Papa, Smita Krishnaswamy, Igor L. Markov
SPIRE: A retiming-based physical-synthesis transformation system. ICCAD (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Smita Krishnaswamy