Greg Yang - RankMe

56 papers A* 16A 1Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cost-Effective, Low Latency Vector Search with Azure Cosmos DB. CoRR Nitish Upreti, Krishnan Sundaram, Hari Sudan Sundar, Samer Boshra, Balachandar Perumalswamy, Shivam Atri, Martin Chisholm, Revti Raman Singh, Greg Yang, Subramanyam Pattipaka, Tamara Hass, Nitesh Dudhey, James Codella, Mark Hildebrand, Magdalen Dobson Manohar, Jack Moffitt, Haiyang Xu, Naren Datha, Suryansh Gupta, Ravishankar Krishnaswamy, Prashant Gupta, Abhishek Sahu, Ritika Mor, Santosh Kulkarni, Hemeswari Varada, Sudhanshu Barthwal, Amar Sagare, Dinesh Billa, Zishan Fu, Neil Deshpande, Shaun Cooper, Kevin Pilch, Simon Moreno, Aayush Kataria, Vipul Vishal, Harsha Vardhan Simhadri
2025	J	`jnl`	Cost-Effective, Low Latency Vector Search with Azure Cosmos DB. Proc. VLDB Endow. Nitish Upreti, Harsha Vardhan Simhadri, Hari Sudan Sundar, Krishnan Sundaram, Samer Boshra, Balachandar Perumalswamy, Shivam Atri, Martin Chisholm, Revti Raman Singh, Greg Yang, Tamara Hass, Nitesh Dudhey, Subramanyam Pattipaka, Mark Hildebrand, Magdalen Dobson, Jack Moffitt, Haiyang Xu, Naren Datha, Suryansh Gupta, Ravishankar Krishnaswamy, Prashant Gupta, Abhishek Sahu, Hemeswari Varada, Sudhanshu Barthwal, Ritika Mor, James Codella, Shaun Cooper, Kevin Pilch, Simon Moreno, Aayush Kataria, Santosh Kulkarni, Neil Deshpande, Amar Sagare, Dinesh Billa, Zishan Fu, Vipul Vishal
2025	J	`jnl`	Global Convergence and Rich Feature Learning in CoRR Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu
2025	A*	`conf`	Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization. ICML Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu
2024	A*	`conf`	Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks. ICLR Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
2023	J	`jnl`	A Spectral Condition for Feature Learning. CoRR Greg Yang, James B. Simon, Jeremy Bernstein
2023	A*	`conf`	Adaptive Optimization in the ∞-Width Limit. ICLR Etai Littwin, Greg Yang
2023	J	`jnl`	Tensor Programs IVb: Adaptive Optimization in the Infinite-Width Limit. CoRR Greg Yang, Etai Littwin
2023	J	`jnl`	Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks. CoRR Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
2023	A*	`conf`	Width and Depth Limits Commute in Residual Networks. ICML Soufiane Hayou, Greg Yang
2023	J	`jnl`	Width and Depth Limits Commute in Residual Networks. CoRR Soufiane Hayou, Greg Yang
2022	A*	`conf`	3DB: A Framework for Debugging Computer Vision Models. NeurIPS Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
2022	A*	`conf`	Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features. ICLR Greg Yang, Michael Santacroce, Edward J. Hu
2022	A*	`conf`	High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation. NeurIPS Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang
2022	J	`jnl`	High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation. CoRR Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang
2022	A*	`conf`	Non-Gaussian Tensor Programs. NeurIPS Eugene A. Golikov, Greg Yang
2022	J	`jnl`	Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
2021	J	`jnl`	3DB: A Framework for Debugging Computer Vision Models. CoRR Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
2021	J	`jnl`	CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao
2021	J	`jnl`	Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
2021	A*	`conf`	Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics. ICML Greg Yang, Etai Littwin
2021	J	`jnl`	Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics. CoRR Greg Yang, Etai Littwin
2021	A*	`conf`	Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks. ICML Greg Yang, Edward J. Hu
2020	J	`jnl`	Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
2020	A*	`conf`	Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
2020	J	`jnl`	Feature Learning in Infinite-Width Neural Networks. CoRR Greg Yang, J. Edward Hu
2020	J	`jnl`	Free resolutions of function classes via order complexes. Adv. Appl. Math. Justin Chen, Christopher Eur, Greg Yang, Mengyuan Zhang
2020	J	`jnl`	Improved Image Wasserstein Attacks and Defenses. CoRR J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang
2020	A*	`conf`	On Infinite-Width Hypernetworks. NeurIPS Etai Littwin, Tomer Galanti, Lior Wolf, Greg Yang
2020	A*	`conf`	Randomized Smoothing of All Shapes and Sizes. ICML Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
2020	J	`jnl`	Randomized Smoothing of All Shapes and Sizes. CoRR Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
2020	J	`jnl`	Tensor Programs II: Neural Tangent Kernel for Any Architecture. CoRR Greg Yang
2020	J	`jnl`	Tensor Programs III: Neural Matrix Laws. CoRR Greg Yang
2019	A*	`conf`	A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. NeurIPS Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019	J	`jnl`	A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. CoRR Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019	J	`jnl`	A Fine-Grained Spectral Perspective on Neural Networks. CoRR Greg Yang, Hadi Salman
2019	—	`conf`	A Mean Field Theory of Batch Normalization. ICLR (Poster) Greg Yang, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S. Schoenholz
2019	J	`jnl`	A Mean Field Theory of Batch Normalization. CoRR Greg Yang, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S. Schoenholz
2019	—	`conf`	Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes. ICLR (Poster) Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang, Jiri Hron, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein
2019	J	`jnl`	Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs. CoRR Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington
2019	J	`jnl`	Free resolutions of function classes via order complexes. CoRR Justin Chen, Christopher Eur, Greg Yang, Mengyuan Zhang
2019	J	`jnl`	NAIL: A General Interactive Fiction Agent. CoRR Matthew J. Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason D. Williams
2019	A*	`conf`	Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. NeurIPS Hadi Salman, Jerry Li, Ilya P. Razenshteyn, Pengchuan Zhang, Huan Zhang, Sébastien Bubeck, Greg Yang
2019	J	`jnl`	Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. CoRR Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya P. Razenshteyn, Sébastien Bubeck
2019	J	`jnl`	Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation. CoRR Greg Yang
2019	J	`jnl`	Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes. CoRR Greg Yang
2019	A*	`conf`	Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes. NeurIPS Greg Yang
2018	A	`conf`	A Homological Theory of Functions: Nonuniform Boolean Complexity Separation and VC Dimension Bound Via Algebraic Topology, and a Homological Farkas Lemma. ITCS Greg Yang
2017	J	`jnl`	A Homological Theory of Functions. CoRR Greg Yang
2017	—	`conf`	Lie-Access Neural Turing Machines. ICLR (Poster) Greg Yang, Alexander M. Rush
2017	—	`conf`	Mean Field Residual Networks: On the Edge of Chaos. NIPS Greg Yang, Samuel S. Schoenholz
2017	J	`jnl`	Mean Field Residual Networks: On the Edge of Chaos. CoRR Greg Yang, Samuel S. Schoenholz
2016	J	`jnl`	Lie Access Neural Turing Machine. CoRR Greg Yang
2016	J	`jnl`	Lie-Access Neural Turing Machines. CoRR Greg Yang, Alexander M. Rush
2015	J	`jnl`	Computability of validity and satisfiability in probability logics over finite and countable models. J. Appl. Non Class. Logics Greg Yang
2014	J	`jnl`	Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models. CoRR Greg Yang