Suriya Gunasekar

59 papers A* 15A 4Misc 1Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Phi-4-reasoning Technical Report. CoRR Marah I Abdin, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat S. Behl, Lingjiao Chen, Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
2024	A*	`conf`	Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
2024	A*	`conf`	How to Fine-Tune Vision Models with SGD. ICLR Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2024	A*	`conf`	KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. ICLR Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
2024	J	`jnl`	Phi-4 Technical Report. CoRR Marah I Abdin, Jyoti Aneja, Harkirat S. Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, Yin Tat Lee, Yuanzhi Li, Weishung Liu, Caio C. T. Mendes, Anh Nguyen, Eric Price, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang
2023	J	`jnl`	(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability. CoRR Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
2023	A*	`conf`	(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability. NeurIPS Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
2023	J	`jnl`	Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
2023	J	`jnl`	KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval. CoRR Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
2023	J	`jnl`	Textbooks Are All You Need II: phi-1.5 technical report. CoRR Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, Allie Del Giorno, Suriya Gunasekar, Yin Tat Lee
2023	J	`jnl`	Textbooks Are All You Need. CoRR Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li
2022	A*	`conf`	Data Augmentation as Feature Manipulation. ICML Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2022	J	`jnl`	Data Augmentation as Feature Manipulation: a story of desert cows and grass cows. CoRR Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2022	J	`jnl`	Generalization to translation shifts: a study in architectures and augmentations. CoRR Suriya Gunasekar
2022	J	`jnl`	How to Fine-Tune Vision Models with SGD. CoRR Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2022	A*	`conf`	Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm. COLT Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar
2022	—	`conf`	Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	Neural-Sim: Learning to Generate Training Data with NeRF. CoRR Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	Unveiling Transformers with LEGO: a synthetic reasoning task. CoRR Yi Zhang, Arturs Backurs, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Tal Wagner
2021	J	`jnl`	Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm. CoRR Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar
2021	A	`conf`	Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent. AISTATS Suriya Gunasekar, Blake E. Woodworth, Nathan Srebro
2020	A*	`conf`	Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy. NeurIPS Edward Moroshko, Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Nati Srebro, Daniel Soudry
2020	J	`jnl`	Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy. CoRR Edward Moroshko, Suriya Gunasekar, Blake E. Woodworth, Jason D. Lee, Nathan Srebro, Daniel Soudry
2020	A*	`conf`	Implicit Regularization and Convergence for Weight Normalization. NeurIPS Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu
2020	A*	`conf`	Kernel and Rich Regimes in Overparametrized Models. COLT Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro
2020	J	`jnl`	Kernel and Rich Regimes in Overparametrized Models. CoRR Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro
2020	—	`conf`	Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio
2020	J	`jnl`	Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow. CoRR Suriya Gunasekar, Blake E. Woodworth, Nathan Srebro
2020	J	`jnl`	NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. CoRR Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur
2019	A	`conf`	Convergence of Gradient Descent on Separable Data. AISTATS Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar, Pedro Henrique Pamplona Savarese, Nathan Srebro, Daniel Soudry
2019	J	`jnl`	Implicit Regularization of Normalization Methods. CoRR Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu
2019	A*	`conf`	Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models. ICML Mor Shpigel Nacson, Suriya Gunasekar, Jason D. Lee, Nathan Srebro, Daniel Soudry
2019	J	`jnl`	Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models. CoRR Mor Shpigel Nacson, Suriya Gunasekar, Jason D. Lee, Nathan Srebro, Daniel Soudry
2018	A*	`conf`	Characterizing Implicit Bias in Terms of Optimization Geometry. ICML Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nathan Srebro
2018	J	`jnl`	Characterizing Implicit Bias in Terms of Optimization Geometry. CoRR Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nathan Srebro
2018	J	`jnl`	Convergence of Gradient Descent on Separable Data. CoRR Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar, Nathan Srebro, Daniel Soudry
2018	A*	`conf`	Implicit Bias of Gradient Descent on Linear Convolutional Networks. NeurIPS Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nati Srebro
2018	J	`jnl`	Implicit Bias of Gradient Descent on Linear Convolutional Networks. CoRR Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nathan Srebro
2018	Misc	`conf`	Implicit Regularization in Matrix Factorization. ITA Suriya Gunasekar, Blake E. Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
2018	A*	`conf`	On preserving non-discrimination when combining expert advice. NeurIPS Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, Nati Srebro
2018	J	`jnl`	On preserving non-discrimination when combining expert advice. CoRR Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, Nathan Srebro
2018	J	`jnl`	The Implicit Bias of Gradient Descent on Separable Data. J. Mach. Learn. Res. Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Suriya Gunasekar, Nathan Srebro
2017	—	`conf`	Implicit Regularization in Matrix Factorization. NIPS Suriya Gunasekar, Blake E. Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, Nati Srebro
2017	J	`jnl`	Implicit Regularization in Matrix Factorization. CoRR Suriya Gunasekar, Blake E. Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
2017	A*	`conf`	Learning Non-Discriminatory Predictors. COLT Blake E. Woodworth, Suriya Gunasekar, Mesrob I. Ohannessian, Nathan Srebro
2017	J	`jnl`	Learning Non-Discriminatory Predictors. CoRR Blake E. Woodworth, Suriya Gunasekar, Mesrob I. Ohannessian, Nathan Srebro
2016	—	`conf`	Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization. MLHC Shalmali Joshi, Suriya Gunasekar, David A. Sontag, Joydeep Ghosh
2016	J	`jnl`	Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization. CoRR Shalmali Joshi, Suriya Gunasekar, David A. Sontag, Joydeep Ghosh
2016	—	`conf`	Preference Completion from Partial Rankings. NIPS Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
2016	J	`jnl`	Preference Completion from Partial Rankings. CoRR Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
2015	A	`conf`	Consistent Collective Matrix Completion under Joint Low Rank Structure. AISTATS Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2015	J	`jnl`	Exponential Family Matrix Completion under Structural Constraints. CoRR Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh
2015	—	`conf`	Unified View of Matrix Completion under General Structural Constraints. NIPS Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh
2014	J	`jnl`	Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2014	A*	`conf`	Exponential Family Matrix Completion under Structural Constraints. ICML Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh
2014	J	`jnl`	Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features. IEEE Trans. Inf. Forensics Secur. Suriya Gunasekar, Joydeep Ghosh, Alan C. Bovik
2014	—	`conf`	Face detection on distorted images using perceptual quality-aware features. Human Vision and Electronic Imaging Suriya Gunasekar, Joydeep Ghosh, Alan C. Bovik
2013	—	`conf`	Noisy Matrix Completion Using Alternating Minimization. ECML/PKDD (2) Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh
2012	A	`conf`	Review quality aware collaborative filtering. RecSys Sindhu Raghavan, Suriya Gunasekar, Joydeep Ghosh