Smita Krishnaswamy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
16
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection. | Xi Xiao, Zhuxuanzi Wang, Mingqiao Mo, Chen Liu, Chenrui Ma, Yanshu Li, Smita Krishnaswamy, Xiao Wang, Tianyang Wang |
| 2025 | AISTATS | Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. | Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy |
| 2025 | ICASSP | Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. | Xingzhi Sun, Charles Xu, Joo F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. | Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy |
| 2025 | ICASSP | ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. | Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy |
| 2025 | ICASSP | Principal Curvatures Estimation with Applications to Single Cell Data. | Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck |
| 2024 | AISTATS | BLIS-Net: Classifying and Analyzing Signals on Graphs. | Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter |
| 2024 | CISS | Bayesian Spectral Graph Denoising with Smoothness Prior. | Samuel Leone, Xingzhi Sun, Michael Perlmutter, Smita Krishnaswamy |
| 2024 | CISS | Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. | Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy |
| 2024 | ICASSP | Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis. | Aarthi Venkat, Joyce A. Chew, Ferran Cardoso Rodriguez, Christopher J. Tape, Michael Perlmutter, Smita Krishnaswamy |
| 2024 | MICCAI | CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation. | Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy |
| 2024 | RECOMB | Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. | Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy |
| 2023 | ACSSC | Wire Before You Walk. | Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter |
| 2023 | ICML | Neural FIM for learning Fisher information metrics from point cloud data. | Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy |
| 2022 | ICASSP | Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance. | Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy |
| 2022 | IDA | Exploring the Geometry and Topology of Neural Network Loss Landscapes. | Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy |
| 2021 | ICML | Diffusion Earth Mover's Distance and Distribution Embeddings. | Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy |
| 2021 | IJCNN | Noise Space Optimization for GANs. | Matthew Amodio, Smita Krishnaswamy |
| 2021 | IJCNN | Canvas GAN: Bootstrapped Image-Conditional Models. | Matthew Amodio, Smita Krishnaswamy |
| 2021 | IDA | Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior. | Matthew Amodio, Smita Krishnaswamy |
| 2020 | ICML | TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. | Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy |
| 2020 | IDA | Interpretable Neuron Structuring with Graph Spectral Regularization. | Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy |
| 2020 | SDM | Harmonic Alignment. | Jay S. Stanley III, Scott Gigante, Guy Wolf, Smita Krishnaswamy |
| 2019 | CVPR | TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. | Matthew Amodio, Smita Krishnaswamy |
| 2018 | ICML | MAGAN: Aligning Biological Manifolds. | Matthew Amodio, Smita Krishnaswamy |
| 2013 | DAC | Can CAD cure cancer? | Smita Krishnaswamy, Bernd Bodenmiller, Dana Pe'er |
| 2013 | DATE | Intuitive ECO synthesis for high performance circuits. | Haoxing Ren, Ruchir Puri, Lakshmi N. Reddy, Smita Krishnaswamy, Cindy Washburn, Joel Earl, Joachim Keinert |
| 2012 | DAC | Generalized SAT-sweeping for post-mapping optimization. | Tobias Welp, Smita Krishnaswamy, Andreas Kuehlmann |
| 2011 | DAC | Joint DAC/IWBDA special session design and synthesis of biological circuits. | Douglas Densmore, Mark Horowitz, Smita Krishnaswamy, Xiling Shen, Adam P. Arkin, Erik Winfree, Chris Voigt |
| 2010 | ICCAD | SPIRE: A retiming-based physical-synthesis transformation system. | David A. Papa, Smita Krishnaswamy, Igor L. Markov |
| 2009 | DAC | Improving testability and soft-error resilience through retiming. | Smita Krishnaswamy, Igor L. Markov, John P. Hayes |
| 2009 | ICCAD | DeltaSyn: An efficient logic difference optimizer for ECO synthesis. | Smita Krishnaswamy, Haoxing Ren, Nilesh Modi, Ruchir Puri |
| 2008 | DAC | On the role of timing masking in reliable logic circuit design. | Smita Krishnaswamy, Igor L. Markov, John P. Hayes |
| 2007 | ICCAD | Enhancing design robustness with reliability-aware resynthesis and logic simulation. | Smita Krishnaswamy, Stephen Plaza, Igor L. Markov, John P. Hayes |
| 2005 | DATE | Accurate Reliability Evaluation and Enhancement via Probabilistic Transfer Matrices. | Smita Krishnaswamy, George F. Viamontes, Igor L. Markov, John P. Hayes |
| 2005 | ETS | Logic circuit testing for transient faults. | Smita Krishnaswamy, Igor L. Markov, John P. Hayes |