Rishi Sonthalia

41 papers A* 4A 1B 2Journal 28Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Geometry-Preserving Neural Architectures on Manifolds with Boundary.
CoRR
Karthik Elamvazhuthi, Shiba Biswal, Kian Rosenblum, Arushi Katyal, Tianli Qu, Grady Ma, Rishi Sonthalia
2025 B conf
Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression.
ALT
Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova
2025 J jnl
Low Rank Gradients and Where to Find Them.
CoRR
Rishi Sonthalia, Michael Murray, Guido Montúfar
2025 J jnl
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation.
CoRR
Rishi Sonthalia, Raj Rao Nadakuditi
2025 J jnl
Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting.
CoRR
Jiping Li, Rishi Sonthalia
2025 J jnl
Supermodular Rank: Set Function Decomposition and Optimization.
SIAM J. Math. Data Sci.
Rishi Sonthalia, Anna Seigal, Guido Montúfar
2025 A* conf
Universal Approximation of Mean-Field Models via Transformers.
ICML
Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia
2024 J jnl
Discrete error dynamics of mini-batch gradient descent for least squares regression.
CoRR
Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova
2024 J jnl
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers.
Trans. Mach. Learn. Res.
Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia
2024 J jnl
Generalization for Least Squares Regression With Simple Spiked Covariances.
CoRR
Jiping Li, Rishi Sonthalia
2024 J jnl
Identification of Mean-Field Dynamics using Transformers.
CoRR
Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia
2024 A* conf
Least Squares Regression Can Exhibit Under-Parameterized Double Descent.
NeurIPS
Xinyue Li, Rishi Sonthalia
2024 A conf
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization.
AISTATS
Yutong Wang, Rishi Sonthalia, Wei Hu
2024 J jnl
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization.
CoRR
Yutong Wang, Rishi Sonthalia, Wei Hu
2024 J jnl
On Regularization via Early Stopping for Least Squares Regression.
CoRR
Rishi Sonthalia, Jackie Lok, Elizaveta Rebrova
2023 J jnl
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell.
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2023 J jnl
Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning.
CoRR
Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia
2023 J jnl
Spectral Neural Networks: Approximation Theory and Optimization Landscape.
CoRR
Chenghui Li, Rishi Sonthalia, Nicolás García Trillos
2023 J jnl
Supermodular Rank: Set Function Decomposition and Optimization.
CoRR
Rishi Sonthalia, Anna Seigal, Guido Montúfar
2023 J jnl
Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise.
Trans. Mach. Learn. Res.
Rishi Sonthalia, Raj Rao Nadakuditi
2023 J jnl
Under-Parameterized Double Descent for Ridge Regularized Least Squares Denoising of Data on a Line.
CoRR
Rishi Sonthalia, Xinyue Li, Bochao Gu
2022 — conf
CubeRep: Learning Relations Between Different Views of Data.
TAG-ML
Rishi Sonthalia, Anna C. Gilbert, Matthew Durham
2022 — conf
ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results.
TAG-ML
Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane
2022 J jnl
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results.
CoRR
Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Umberto Lupo, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane
2022 B conf
Knowledge Graphs of the QAnon Twitter Network.
IEEE Big Data
Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham
2022 J jnl
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR
Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2022 J jnl
Project and Forget: Solving Large-Scale Metric Constrained Problems.
J. Mach. Learn. Res.
Rishi Sonthalia, Anna C. Gilbert
2021 — conf
An Analysis of COVID-19 Knowledge Graph Construction and Applications.
IEEE BigData
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham
2021 J jnl
An Analysis of COVID-19 Knowledge Graph Construction and Applications.
CoRR
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham
2021 — conf
Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network.
IEEE BigData
Harlin Lee, Rishi Sonthalia, Jacob G. Foster
2021 A* conf
How can classical multidimensional scaling go wrong?
NeurIPS
Rishi Sonthalia, Greg Van Buskirk, Benjamin Raichel, Anna C. Gilbert
2021 J jnl
How can classical multidimensional scaling go wrong?
CoRR
Rishi Sonthalia, Gregory Van Buskirk, Benjamin Raichel, Anna C. Gilbert
2020 J jnl
Dual Regularized Optimal Transport.
CoRR
Rishi Sonthalia, Anna C. Gilbert
2020 — conf
Generalized Metric Repair on Graphs.
SWAT
Chenglin Fan, Anna C. Gilbert, Benjamin Raichel, Rishi Sonthalia, Gregory Van Buskirk
2020 J jnl
Project and Forget: Solving Large-Scale Metric Constrained Problems.
CoRR
Rishi Sonthalia, Anna C. Gilbert
2020 J jnl
Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding.
CoRR
Rishi Sonthalia, Anna C. Gilbert
2020 A* conf
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding.
NeurIPS
Rishi Sonthalia, Anna C. Gilbert
2019 J jnl
Generalized Metric Repair on Graphs.
CoRR
Chenglin Fan, Anna C. Gilbert, Benjamin Raichel, Rishi Sonthalia, Gregory Van Buskirk
2018 J jnl
Generalized Metric Repair on Graphs.
CoRR
Anna C. Gilbert, Rishi Sonthalia
2018 J jnl
Unrolling Swiss Cheese: Metric repair on manifolds with holes.
CoRR
Anna C. Gilbert, Rishi Sonthalia
2018 — conf
Unsupervised Metric Learning in Presence of Missing Data.
Allerton
Anna C. Gilbert, Rishi Sonthalia