Ankit B. Patel

According to our database, Ankit B. Patel authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews.

Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin, Ashutosh Sabharwal, Nidal Moukaddam, Ankit B. Patel

CoRR, 2024

Linking convolutional kernel size to generalization bias in face analysis CNNs.

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Robust deep learning object recognition models rely on low frequency information in natural images.

Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow

PLoS Comput. Biol., March, 2023

Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging.

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

CoRR, 2023

StyleGAN2-based Out-of-Distribution Detection for Medical Imaging.

McKell Woodland, John Wood, Caleb O'Connor, Ankit B. Patel, Kristy K. Brock

CoRR, 2023

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks.

Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen, Ankit B. Patel

CoRR, 2023

Towards causally linking architectural parametrizations to algorithmic bias in neural networks.

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

CoRR, 2023

Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation.

McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022

ECoNet: Estimating Everyday Conversational Network From Free-Living Audio for Mental Health Applications.

Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel, Ashutosh Sabharwal

IEEE Pervasive Comput., 2022

Reinforcement learning of simplex pivot rules: a proof of concept.

Varun Suriyanarayana, Onur Tavaslioglu, Ankit B. Patel, Andrew J. Schaefer

Optim. Lett., 2022

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics.

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel

Frontiers Artif. Intell., 2022

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.

Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi

Frontiers Artif. Intell., 2022

Editorial: Symmetry as a guiding principle in artificial and brain neural networks.

Fabio Anselmi, Ankit B. Patel

Frontiers Comput. Neurosci., 2022

Evaluating the Performance of StyleGAN2-ADA on Medical Images.

McKell Woodland, John Wood, Brian M. Anderson, Suprateek Kundu, Ethan Lin, Eugene J. Koay, Bruno Odisio, Caroline Chung, Hyunseon Christine Kang, Aradhana M. Venkatesan, Sireesha Yedururi, Brian De, Yuan-Mao Lin, Ankit B. Patel, Kristy K. Brock

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment.

Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel, Ashutosh Sabharwal

Proceedings of the Interspeech 2022, 2022

2021

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19.

Sonu Subudhi, Ashish Verma, Ankit B. Patel, C. Corey Hardin, Melin J. Khandekar, Hang Lee, Dustin McEvoy, Triantafyllos Stylianopoulos, Lance L. Munn, Sayon Dutta, Rakesh K. Jain

npj Digit. Medicine, 2021

Adversarial attacks on machine learning systems for high-frequency trading.

Micah Goldblum, Avi Schwarzschild, Ankit B. Patel, Tom Goldstein

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition.

Huaijin G. Chen, Wanjia Liu, Rishab Goel, Rhonald C. Lua, Siddharth Mittal, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel

IEEE Trans. Computational Imaging, 2020

Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics.

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit B. Patel

CoRR, 2020

Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples.

Josue Ortega Caro, Yilong Ju, Ryan Pyle, Ankit B. Patel

CoRR, 2020

An Improved Semi-Supervised VAE for Learning Disentangled Representations.

Weili Nie, Zichao Wang, Ankit B. Patel, Richard G. Baraniuk

CoRR, 2020

Adversarial Attacks on Machine Learning Systems for High-Frequency Trading.

Micah Goldblum, Avi Schwarzschild, Naftali Cohen, Tucker Balch, Ankit B. Patel, Tom Goldstein

CoRR, 2020

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning.

Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semi-Supervised StyleGAN for Disentanglement Learning.

Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks.

Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning.

Nhat Ho, Tan M. Nguyen, Ankit B. Patel, Anima Anandkumar, Michael I. Jordan, Richard G. Baraniuk

CoRR, 2018

Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning.

Wanjia Liu, Huaijin G. Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel

CoRR, 2018

2017

Overcomplete Frame Thresholding for Acoustic Scene Analysis.

Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Ankit B. Patel

CoRR, 2017

2016

Semi-Supervised Learning with the Deep Rendering Mixture Model.

Minh Tan Nguyen, Wanjia Liu, Ethan Perez, Richard G. Baraniuk, Ankit B. Patel

CoRR, 2016

A Probabilistic Framework for Deep Learning.

Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Training Neural Networks Without Gradients: A Scalable ADMM Approach.

Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit B. Patel, Tom Goldstein

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

A Probabilistic Theory of Deep Learning.

Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk

CoRR, 2015

A deep learning approach to structured signal recovery.

Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015