default search action
Ankit B. Patel
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j9]Josue Ortega Caro, Yilong Ju
, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit B. Patel:
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. Frontiers Comput. Neurosci. 18 (2024) - [c12]McKell Woodland
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend. MICCAI (12) 2024: 87-97 - [c11]Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan:
Linking convolutional kernel size to generalization bias in face analysis CNNs. WACV 2024: 4693-4703 - [i24]Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin, Ashutosh Sabharwal, Nidal Moukaddam, Ankit B. Patel:
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews. CoRR abs/2402.02656 (2024) - 2023
- [j8]Zhe Li
Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. 19(3) (2023) - [c10]McKell Woodland
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. UNSURE@MICCAI 2023: 147-156 - [i23]Hao Liang, Josue Ortega Caro, Vikram Maheshri
Towards causally linking architectural parametrizations to algorithmic bias in neural networks. CoRR abs/2302.03750 (2023) - [i22]Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen, Ankit B. Patel:
A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks. CoRR abs/2307.07575 (2023) - [i21]McKell Woodland, John Wood, Caleb O'Connor, Ankit B. Patel, Kristy K. Brock:
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging. CoRR abs/2307.10193 (2023) - [i20]McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock:
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. CoRR abs/2308.03723 (2023) - [i19]McKell Woodland, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher, Frank Mohn, Alexander Shieh, Austin Castelo, Suprateek Kundu, Joshua P. Yung, Ankit B. Patel, Kristy K. Brock:
Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging. CoRR abs/2311.13717 (2023) - 2022
- [j7]Fabio Anselmi, Ankit B. Patel:
Editorial: Symmetry as a guiding principle in artificial and brain neural networks. Frontiers Comput. Neurosci. 16 (2022) - [j6]Nikos Karantzas, Emma Besier, Josue Ortega Caro
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. Frontiers Artif. Intell. 5 (2022) - [j5]Justin Sahs, Ryan Pyle
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. Frontiers Artif. Intell. 5: 889981 (2022) - [j4]Varun Suriyanarayana, Onur Tavaslioglu, Ankit B. Patel, Andrew J. Schaefer
Reinforcement learning of simplex pivot rules: a proof of concept. Optim. Lett. 16(8): 2513-2525 (2022) - [j3]Bishal Lamichhane
ECoNet: Estimating Everyday Conversational Network From Free-Living Audio for Mental Health Applications. IEEE Pervasive Comput. 21(2): 32-40 (2022) - [c9]Bishal Lamichhane
Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment. INTERSPEECH 2022: 2493-2497 - [c8]McKell Woodland
Evaluating the Performance of StyleGAN2-ADA on Medical Images. SASHIMI@MICCAI 2022: 142-153 - [i18]Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi:
Understanding robustness and generalization of artificial neural networks through Fourier masks. CoRR abs/2203.08822 (2022) - [i17]Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel, Ashutosh Sabharwal:
Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment. CoRR abs/2209.03901 (2022) - [i16]McKell Woodland, John Wood, Brian M. Anderson, Suprateek Kundu, Ethan Lin, Eugene J. Koay, Bruno Odisio, Caroline Chung, Hyunseon Christine Kang, Aradhana M. Venkatesan
Evaluating the Performance of StyleGAN2-ADA on Medical Images. CoRR abs/2210.03786 (2022) - 2021
- [j2]Sonu Subudhi
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19. npj Digit. Medicine 4 (2021) - [c7]Micah Goldblum, Avi Schwarzschild, Ankit B. Patel, Tom Goldstein:
Adversarial attacks on machine learning systems for high-frequency trading. ICAIF 2021: 2:1-2:9 - 2020
- [j1]Huaijin G. Chen
Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. IEEE Trans. Computational Imaging 6: 276-290 (2020) - [c6]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. ICML 2020: 7360-7369 - [c5]Weili Nie, Zhiding Yu, Lei Mao
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. NeurIPS 2020 - [i15]Micah Goldblum, Avi Schwarzschild, Naftali Cohen, Tucker Balch, Ankit B. Patel, Tom Goldstein:
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading. CoRR abs/2002.09565 (2020) - [i14]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. CoRR abs/2003.03461 (2020) - [i13]Weili Nie, Zichao Wang, Ankit B. Patel, Richard G. Baraniuk:
An Improved Semi-Supervised VAE for Learning Disentangled Representations. CoRR abs/2006.07460 (2020) - [i12]Josue Ortega Caro, Yilong Ju, Ryan Pyle, Ankit B. Patel:
Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples. CoRR abs/2006.11440 (2020) - [i11]Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit B. Patel:
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics. CoRR abs/2008.01772 (2020) - [i10]Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar:
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. CoRR abs/2010.00763 (2020)
2010 – 2019
- 2019
- [c4]Joshua J. Michalenko, Ameesh Shah, Abhinav Verma
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. ICLR (Poster) 2019 - [i9]Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel:
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. CoRR abs/1902.10297 (2019) - 2018
- [i8]Wanjia Liu, Huaijin G. Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel:
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning. CoRR abs/1805.06374 (2018) - [i7]Nhat Ho, Tan M. Nguyen, Ankit B. Patel, Anima Anandkumar, Michael I. Jordan, Richard G. Baraniuk:
Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning. CoRR abs/1811.02657 (2018) - 2017
- [i6]Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Ankit B. Patel:
Overcomplete Frame Thresholding for Acoustic Scene Analysis. CoRR abs/1712.09117 (2017) - 2016
- [c3]Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit B. Patel, Tom Goldstein:
Training Neural Networks Without Gradients: A Scalable ADMM Approach. ICML 2016: 2722-2731 - [c2]Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk:
A Probabilistic Framework for Deep Learning. NIPS 2016: 2550-2558 - [i5]Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit B. Patel, Tom Goldstein:
Training Neural Networks Without Gradients: A Scalable ADMM Approach. CoRR abs/1605.02026 (2016) - [i4]Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk:
A Probabilistic Framework for Deep Learning. CoRR abs/1612.01936 (2016) - [i3]Minh Tan Nguyen, Wanjia Liu, Ethan Perez, Richard G. Baraniuk, Ankit B. Patel:
Semi-Supervised Learning with the Deep Rendering Mixture Model. CoRR abs/1612.01942 (2016) - 2015
- [c1]Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk:
A deep learning approach to structured signal recovery. Allerton 2015: 1336-1343 - [i2]Ankit B. Patel, Minh Tan Nguyen
A Probabilistic Theory of Deep Learning. CoRR abs/1504.00641 (2015) - [i1]Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk:
A Deep Learning Approach to Structured Signal Recovery. CoRR abs/1508.04065 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: