Ankit B. Patel

48 papers A* 3A 2Journal 35Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity. CoRR Justin Sahs, Ryan Pyle, Fabio Anselmi, Ankit B. Patel
2024	J	`jnl`	Editorial: Symmetry as a guiding principle in artificial and brain neural networks, volume II. Frontiers Comput. Neurosci. Fabio Anselmi, Ankit B. Patel
2024	—	`conf`	Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend. MICCAI (12) 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
2024	A	`conf`	Linking convolutional kernel size to generalization bias in face analysis CNNs. WACV Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
2024	—	`conf`	Predicting Sensation-Seeking from Resting-State fMRI: The Need for Age-Specific Models. BHI Zishen Li, Bishal Lamichhane, Ankit B. Patel, Ramiro Salas, Nidal Moukaddam, Ashutosh Sabharwal
2024	J	`jnl`	RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews. CoRR Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin, Ashutosh Sabharwal, Nidal Moukaddam, Ankit B. Patel
2024	J	`jnl`	Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. Frontiers Comput. Neurosci. Josue Ortega Caro, Yilong Ju, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit B. Patel
2023	J	`jnl`	A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks. CoRR Ryan Pyle, Sebastian Musslick, Jonathan D. Cohen, Ankit B. Patel
2023	—	`conf`	Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. UNSURE@MICCAI McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock
2023	J	`jnl`	Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. CoRR McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock
2023	J	`jnl`	Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging. CoRR 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
2023	J	`jnl`	Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
2023	J	`jnl`	StyleGAN2-based Out-of-Distribution Detection for Medical Imaging. CoRR McKell Woodland, John Wood, Caleb O'Connor, Ankit B. Patel, Kristy K. Brock
2023	J	`jnl`	Towards causally linking architectural parametrizations to algorithmic bias in neural networks. CoRR Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
2022	A	`conf`	Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment. INTERSPEECH Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel, Ashutosh Sabharwal
2022	J	`jnl`	Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment. CoRR Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel, Ashutosh Sabharwal
2022	J	`jnl`	ECoNet: Estimating Everyday Conversational Network From Free-Living Audio for Mental Health Applications. IEEE Pervasive Comput. Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel, Ashutosh Sabharwal
2022	J	`jnl`	Editorial: Symmetry as a guiding principle in artificial and brain neural networks. Frontiers Comput. Neurosci. Fabio Anselmi, Ankit B. Patel
2022	—	`conf`	Evaluating the Performance of StyleGAN2-ADA on Medical Images. SASHIMI@MICCAI 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
2022	J	`jnl`	Evaluating the Performance of StyleGAN2-ADA on Medical Images. CoRR 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
2022	J	`jnl`	Reinforcement learning of simplex pivot rules: a proof of concept. Optim. Lett. Varun Suriyanarayana, Onur Tavaslioglu, Ankit B. Patel, Andrew J. Schaefer
2022	J	`jnl`	Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. Frontiers Artif. Intell. Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel
2022	J	`jnl`	Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. Frontiers Artif. Intell. Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2022	J	`jnl`	Understanding robustness and generalization of artificial neural networks through Fourier masks. CoRR Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2021	—	`conf`	Adversarial attacks on machine learning systems for high-frequency trading. ICAIF Micah Goldblum, Avi Schwarzschild, Ankit B. Patel, Tom Goldstein
2021	J	`jnl`	Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19. npj Digit. Medicine 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
2020	J	`jnl`	Adversarial Attacks on Machine Learning Systems for High-Frequency Trading. CoRR Micah Goldblum, Avi Schwarzschild, Naftali Cohen, Tucker Balch, Ankit B. Patel, Tom Goldstein
2020	J	`jnl`	An Improved Semi-Supervised VAE for Learning Disentangled Representations. CoRR Weili Nie, Zichao Wang, Ankit B. Patel, Richard G. Baraniuk
2020	A*	`conf`	Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. NeurIPS Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar
2020	J	`jnl`	Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. CoRR Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar
2020	J	`jnl`	Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. IEEE Trans. Computational Imaging Huaijin G. Chen, Wanjia Liu, Rishab Goel, Rhonald C. Lua, Siddharth Mittal, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel
2020	A*	`conf`	Semi-Supervised StyleGAN for Disentanglement Learning. ICML Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar
2020	J	`jnl`	Semi-Supervised StyleGAN for Disentanglement Learning. CoRR Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
2020	J	`jnl`	Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics. CoRR Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit B. Patel
2020	J	`jnl`	Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples. CoRR Josue Ortega Caro, Yilong Ju, Ryan Pyle, Ankit B. Patel
2019	—	`conf`	Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. ICLR (Poster) Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel
2019	J	`jnl`	Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. CoRR Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel
2018	J	`jnl`	Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning. CoRR Wanjia Liu, Huaijin G. Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit B. Patel
2018	J	`jnl`	Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning. CoRR Nhat Ho, Tan M. Nguyen, Ankit B. Patel, Anima Anandkumar, Michael I. Jordan, Richard G. Baraniuk
2017	J	`jnl`	Overcomplete Frame Thresholding for Acoustic Scene Analysis. CoRR Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Ankit B. Patel
2016	—	`conf`	A Probabilistic Framework for Deep Learning. NIPS Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk
2016	J	`jnl`	A Probabilistic Framework for Deep Learning. CoRR Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk
2016	J	`jnl`	Semi-Supervised Learning with the Deep Rendering Mixture Model. CoRR Minh Tan Nguyen, Wanjia Liu, Ethan Perez, Richard G. Baraniuk, Ankit B. Patel
2016	A*	`conf`	Training Neural Networks Without Gradients: A Scalable ADMM Approach. ICML Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit B. Patel, Tom Goldstein
2016	J	`jnl`	Training Neural Networks Without Gradients: A Scalable ADMM Approach. CoRR Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit B. Patel, Tom Goldstein
2015	J	`jnl`	A Deep Learning Approach to Structured Signal Recovery. CoRR Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk
2015	J	`jnl`	A Probabilistic Theory of Deep Learning. CoRR Ankit B. Patel, Minh Tan Nguyen, Richard G. Baraniuk
2015	—	`conf`	A deep learning approach to structured signal recovery. Allerton Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk