A deep learning approach to structured signal recovery. - Ali Mousavi 003; Ankit B. Patel; Richard G. Baraniuk (Allerton, 2015)

A Probabilistic Theory of Deep Learning. - Ankit B. Patel; Minh Tan Nguyen; Richard G. Baraniuk (CoRR, 2015)

Training Neural Networks Without Gradients: A Scalable ADMM Approach. - Gavin Taylor; Ryan Burmeister; Zheng Xu 002; Bharat Singh; Ankit B. Patel; Tom Goldstein (ICML, 2016)

A Probabilistic Framework for Deep Learning. - Ankit B. Patel; Minh Tan Nguyen; Richard G. Baraniuk (NIPS, 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)

Overcomplete Frame Thresholding for Acoustic Scene Analysis. - Romain Cosentino; Randall Balestriero; Richard G. Baraniuk; Ankit B. Patel (CoRR, 2017)

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)

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)

Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. - Joshua J. Michalenko; Ameesh Shah; Abhinav Verma 001; Richard G. Baraniuk; Swarat Chaudhuri; Ankit B. Patel (ICLR (Poster), 2019)

Semi-Supervised StyleGAN for Disentanglement Learning. - Weili Nie; Tero Karras; Animesh Garg; Shoubhik Debnath; Anjul Patney; Ankit B. Patel; Animashree Anandkumar (ICML, 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 (NeurIPS, 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)

An Improved Semi-Supervised VAE for Learning Disentangled Representations. - Weili Nie; Zichao Wang 001; Ankit B. Patel; Richard G. Baraniuk (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)

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)

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)

Adversarial attacks on machine learning systems for high-frequency trading. - Micah Goldblum; Avi Schwarzschild; Ankit B. Patel; Tom Goldstein (ICAIF, 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)

Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment. - Bishal Lamichhane; Nidal Moukaddam; Ankit B. Patel; Ashutosh Sabharwal (INTERSPEECH, 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; et al. (SASHIMI@MICCAI, 2022)

Editorial: Symmetry as a guiding principle in artificial and brain neural networks. - Fabio Anselmi; Ankit B. Patel (Frontiers Comput. Neurosci., 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)

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)

Reinforcement learning of simplex pivot rules: a proof of concept. - Varun Suriyanarayana; Onur Tavaslioglu; Ankit B. Patel; Andrew J. Schaefer (Optim. Lett., 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)

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 (UNSURE@MICCAI, 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)

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks. - Ryan Pyle; Sebastian Musslick; Jonathan D. Cohen 003; Ankit B. Patel (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)

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)

Robust deep learning object recognition models rely on low frequency information in natural images. - Zhe Li 002; Josue Ortega Caro; Evgenia Rusak; Wieland Brendel; Matthias Bethge; Fabio Anselmi; Ankit B. Patel; Andreas S. Tolias; Xaq Pitkow (PLoS Comput. Biol., 2023)

Predicting Sensation-Seeking from Resting-State fMRI: The Need for Age-Specific Models. - Zishen Li; Bishal Lamichhane; Ankit B. Patel; Ramiro Salas; Nidal Moukaddam; Ashutosh Sabharwal (BHI, 2024)

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend. - McKell Woodland; Austin Castelo; Mais Al Taie; Jessica Albuquerque Marques Silva; Mohamed Eltaher; Frank Mohn; Alexander Shieh; Suprateek Kundu; Joshua P. Yung; Ankit B. Patel; Kristy K. Brock (MICCAI (12), 2024)

Linking convolutional kernel size to generalization bias in face analysis CNNs. - Hao Liang; Josue Ortega Caro; Vikram Maheshri; Ankit B. Patel; Guha Balakrishnan (WACV, 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)

Editorial: Symmetry as a guiding principle in artificial and brain neural networks, volume II. - Fabio Anselmi; Ankit B. Patel (Frontiers Comput. Neurosci., 2024)

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. - Josue Ortega Caro; Yilong Ju; Ryan Pyle; Sourav Dey; Wieland Brendel; Fabio Anselmi; Ankit B. Patel (Frontiers Comput. Neurosci., 2024)

The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity. - Justin Sahs; Ryan Pyle; Fabio Anselmi; Ankit B. Patel (CoRR, 2025)