Shubhendu Trivedi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks	2024	Ashwin Samudre Mircea Petrache B. Nord Shubhendu Trivedi
+ PDF Chat	Improving Equivariant Model Training via Constraint Relaxation	2024	Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis
+ PDF Chat	Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation	2024	Zhen Lin Shubhendu Trivedi Jimeng Sun
+ PDF Chat	Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and transduction	2024	Mircea Petrache Shubhendu Trivedi
+	Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control	2023	Zhen Lin Shubhendu Trivedi Cao Xiao Jimeng Sung
+	Approximation-Generalization Trade-offs under (Approximate) Group Equivariance	2023	Mircea Petrache Shubhendu Trivedi
+	Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models	2023	Zhen Lin Shubhendu Trivedi Jimeng Sun
+	Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks	2022	Zhen Lin Shubhendu Trivedi Jimeng Sun
+	Conformal Prediction with Temporal Quantile Adjustments	2022	Zhen Lin Shubhendu Trivedi Jimeng Sun
+	Conformal Prediction Intervals with Temporal Dependence	2022	Zhen Lin Shubhendu Trivedi Jimeng Sun
+	Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?	2021	Matthew Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan
+	Locally Valid and Discriminative Confidence Intervals for Deep Learning Models.	2021	Zhen Lin Shubhendu Trivedi Jimeng Sun
+ PDF Chat	Locally Valid and Discriminative Prediction Intervals for Deep Learning Models	2021	Zhen Lin Shubhendu Trivedi Jimeng Sun
+	Locally Valid and Discriminative Prediction Intervals for Deep Learning Models	2021	Zhen Lin Shubhendu Trivedi Jimeng Sun
+	Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?	2021	Matthew Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan
+	Rotation-Invariant Autoencoders for Signals on Spheres.	2020	Suhas Lohit Shubhendu Trivedi
+	The Expected Jacobian Outerproduct: Theory and Empirics	2020	Shubhendu Trivedi J. Wang
+	Rotation-Invariant Autoencoders for Signals on Spheres	2020	Suhas Lohit Shubhendu Trivedi
+ PDF Chat	Deep learning for automated classification and characterization of amorphous materials	2019	Kirk Swanson Shubhendu Trivedi Joshua Lequieu Kyle Swanson Risi Kondor
+	Deep Learning for Automated Classification and Characterization of Amorphous Materials	2019	Kirk Swanson Shubhendu Trivedi Joshua Lequieu Kyle Swanson Risi Kondor
+	Asymmetric Multiresolution Matrix Factorization	2019	Pramod Kaushik Mudrakarta Shubhendu Trivedi Risi Kondor
+	Deep Learning for Automated Classification and Characterization of Amorphous Materials	2019	Kirk Swanson Shubhendu Trivedi Joshua Lequieu Kyle L. Swanson Risi Kondor
+	Discriminative Learning of Similarity and Group Equivariant Representations.	2018	Shubhendu Trivedi
+	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups	2018	Risi Kondor Shubhendu Trivedi
+	Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network	2018	Risi Kondor Zhen Lin Shubhendu Trivedi
+	Covariant Compositional Networks For Learning Graphs	2018	Risi Kondor Hy Truong Son Horace Pan Brandon Anderson Shubhendu Trivedi
+	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups	2018	Risi Kondor Shubhendu Trivedi
+	Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network	2018	Risi Kondor Zhen Lin Shubhendu Trivedi
+	Discriminative Learning of Similarity and Group Equivariant Representations	2018	Shubhendu Trivedi
+	Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network	2018	Risi Kondor Zhen Lin Shubhendu Trivedi
+	The Utility of Clustering in Prediction Tasks	2015	Shubhendu Trivedi Zachary A. Pardos Neil T. Heffernan
+	A Practical Regularity Partitioning Algorithm and its Applications in Clustering	2012	Gábor N. Sárközy Fei Song Endre Szemerédi Shubhendu Trivedi
+	A Practical Regularity Partitioning Algorithm and its Applications in Clustering	2012	Gábor N. Sárközy Fei Song Endre Szemerédi Shubhendu Trivedi

Common Coauthors

Coauthor	Papers Together
Risi Kondor	10
Jimeng Sun	8
Zhen Lin	7
Mircea Petrache	3
Zhen Lin	3
Joshua Lequieu	3
Blake Bordelon	2
Cengiz Pehlevan	2
Endre Szemerédi	2
Kyle Swanson	2
Zhen Lin	2
Suhas Lohit	2
Kirk Swanson	2
Gábor N. Sárközy	2
Brandon Anderson	1
Cao Xiao	1
Fei Song	1
Kyle L. Swanson	1
Horace Pan	1
Jimeng Sung	1
Ashwin Samudre	1
Kirk Swanson	1
Matthew Farrell	1
Evangelos Chatzipantazis	1
Hy Truong Son	1
Pramod Kaushik Mudrakarta	1
Zachary A. Pardos	1
Matthew Farrell	1
B. Nord	1
Kostas Daniilidis	1
Stefanos Pertigkiozoglou	1
J. Wang	1
Fei Song	1
Neil T. Heffernan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Harmonic Networks: Deep Translation and Rotation Equivariance	2017	Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel Brostow	4
+	Covariant Compositional Networks For Learning Graphs	2018	Risi Kondor Hy Truong Son Horace Pan Brandon Anderson Shubhendu Trivedi	4
+	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups	2018	Risi Kondor Shubhendu Trivedi	4
+	Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network	2018	Risi Kondor Zhen Lin Shubhendu Trivedi	3
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	3
+ PDF Chat	Optimal Smoothing in Single-Index Models	1993	Wolfgang Karl Härdle Peter Hall Hidehiko Ichimura	2
+	Computing Fourier Transforms and Convolutions on the 2-Sphere	1994	James R. Driscoll D.M. Healy	2
+ PDF Chat	Molecular graph convolutions: moving beyond fingerprints	2016	Steven Kearnes Kevin McCloskey Marc Berndl Vijay S. Pande Patrick Riley	2
+ PDF Chat	An Adaptive Estimation of Dimension Reduction Space	2002	Yingcun Xia Howell Tong W. K. Li Li Zhu	2
+ PDF Chat	Geodesic Convolutional Neural Networks on Riemannian Manifolds	2015	Jonathan Masci Davide Boscaini Michael M. Bronstein Pierre Vandergheynst	2
+ PDF Chat	Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs	2017	Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda Michael M. Bronstein	2
+ PDF Chat	Relative Perturbation Theory: I. Eigenvalue and Singular Value Variations	1998	Ren‐Cang Li	2
+	Deep Sets	2017	Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczos Ruslan Salakhutdinov Alexander J. Smola	2
+ PDF Chat	Group Invariant Scattering	2012	Stéphane Mallat	2
+ PDF Chat	Rotation Equivariant Vector Field Networks	2017	Diego Marcos Michele Volpi Nikos Komodakis Devis Tuia	2
+	Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds	2018	Nathaniel Thomas Tess Smidt Steven Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick Riley	2
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	2
+	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams	2
+	On Learning Sets of Symmetric Elements	2020	Haggai Maron Or Litany Gal Chechik Ethan Fetaya	2
+	On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities	2015	Vladimir Vapnik Alexey Chervonenkis	2
+	Deep Convolutional Networks on Graph-Structured Data	2015	Mikael Henaff Joan Bruna Yann LeCun	2
+ PDF Chat	The Algorithmic Aspects of the Regularity Lemma	1994	Noga Alon Richard A. Duke Hanno Lefmann V. Rödl Raphael Yuster	1
+ PDF Chat	Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods	2015	Ekin D. Cubuk Samuel S. Schoenholz Jennifer M. Rieser Brad D. Malone Jörg Rottler D. J. Durian Efthimios Kaxiras Andrea J. Liu	1
+	The Regularity Lemma and Its Applications in Graph Theory	2002	János Komlós Ali Shokoufandeh Miklós Simonovits Endre Szemerédi	1
+ PDF Chat	Consistent Nonparametric Regression	1977	Charles J. Stone	1
+	Blow-up Lemma	1997	János Komlós Gábor N. Sárközy Endre Szemerédi	1
+ PDF Chat	Testing mode-coupling theory for a supercooled binary Lennard-Jones mixture I: The van Hove correlation function	1995	Walter Kob Hans Christian Andersen	1
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	1
+	An Optimal Algorithm for Checking Regularity	2003	Yoshiharu Kohayakawa V. Rödl Luboš Thoma	1
+ PDF Chat	Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning	2012	Matthias Rupp Alexandre Tkatchenko Klaus‐Robert Müller O. Anatole von Lilienfeld	1
+ PDF Chat	Three-color Ramsey numbers for paths	2008	András Gyárfás Miklós Ruszinkó Gábor N. Sárközy Endre Szemerédi	1
+ PDF Chat	A Simple Algorithm for Constructing Szemerédi's Regularity Partition	1999	Alan Frieze Ravi Kannan	1
+	Szemeredi''s Regularity Lemma and its applications in graph theory	1995	János Komlós Miklós Simonovits	1
+	Parallel MMF: a Multiresolution Approach to Matrix Computation	2015	Risi Kondor Nedelina Teneva Pramod Kaushik Mudrakarta	1
+ PDF Chat	Rotation-invariant convolutional neural networks for galaxy morphology prediction	2015	Sander Dieleman Kyle Willett Joni Dambre	1
+	Semiparametric Estimation of Index Coefficients	1989	James L. Powell James H. Stock Thomas M. Stoker	1
+ PDF Chat	Understanding image representations by measuring their equivariance and equivalence	2015	Karel Lenc Andrea Vedaldi	1
+	Gated Graph Sequence Neural Networks	2016	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	1
+ PDF Chat	How Many Clusters? An Information-Theoretic Perspective	2004	Susanne Still William Bialek	1
+	Lower bounds of tower type for Szemerédi's uniformity lemma	1997	W. T. Gowers	1
+	Scale-Invariant Convolutional Neural Networks	2014	Yichong Xu Tianjun Xiao Jiaxing Zhang Kuiyuan Yang Zheng Zhang	1
+	Szemerédi’s Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation	2007	Anna Sperotto Marcello Pelillo	1
+	The Multiscale Laplacian Graph Kernel	2016	Risi Kondor Horace Pan	1
+	Understanding How Image Quality Affects Deep Neural Networks	2016	Samuel Dodge Lina J. Karam	1
+ PDF Chat	Inherent structure energy is a good indicator of molecular mobility in glasses	2016	Julian Helfferich Ivan Lyubimov Daniel Reid Juan Pablo	1
+ PDF Chat	Interpolative Butterfly Factorization	2017	Yingzhou Li Haizhao Yang	1
+	Learning Convolutional Neural Networks for Graphs	2016	Mathias Niepert Mohamed M. Ahmed Konstantin Kutzkov	1
+	Age and structure of a model vapour-deposited glass	2016	Daniel Reid Ivan Lyubimov M. D. Ediger Juan Pablo	1
+ PDF Chat	Relationship between local structure and relaxation in out-of-equilibrium glassy systems	2016	Samuel S. Schoenholz Ekin D. Cubuk Efthimios Kaxiras Andrea J. Liu	1
+ PDF Chat	Hypergraph regularity and the multidimensional Szemerédi theorem	2007	William Timothy Gowers	1