Parthe Pandit

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Error Correcting Codes

Kernel Machines

Top Venues

Publications

Neil Mallinar, Daniel Beaglehole, Libin Zhu, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product. CoRR (2024)
Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin
On the Nyström Approximation for Preconditioning in Kernel Machines. AISTATS (2024)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. ACSSC (2023)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. CoRR (2023)
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit
Toward Large Kernel Models. ICML (2023)
Daniel Beaglehole, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin
Mechanism of feature learning in convolutional neural networks. CoRR (2023)
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit, Luis Rademacher
On the Nystrom Approximation for Preconditioning in Kernel Machines. CoRR (2023)
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit
Toward Large Kernel Models. CoRR (2023)
Daniel Beaglehole, Mikhail Belkin, Parthe Pandit
On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions. SIAM J. Math. Data Sci. 5 (4) (2023)
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting. CoRR (2022)
Mojtaba Sahraee-Ardakan, Melikasadat Emami, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions. CoRR (2022)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Instability and Local Minima in GAN Training with Kernel Discriminators. NeurIPS (2022)
Libin Zhu, Parthe Pandit, Mikhail Belkin
A note on Linear Bottleneck networks and their Transition to Multilinearity. CoRR (2022)
Adityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit, Mikhail Belkin
Feature learning in neural networks and kernel machines that recursively learn features. CoRR (2022)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Instability and Local Minima in GAN Training with Kernel Discriminators. CoRR (2022)
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting. NeurIPS (2022)
Daniel Beaglehole, Mikhail Belkin, Parthe Pandit
Kernel Ridgeless Regression is Inconsistent for Low Dimensions. CoRR (2022)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Implicit Bias of Linear RNNs. ICML (2021)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Implicit Bias of Linear RNNs. CoRR (2021)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Generalization Error of Generalized Linear Models in High Dimensions. CoRR (2020)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Alyson K. Fletcher, Sundeep Rangan, Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi
Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex. CoRR (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Matrix Inference and Estimation in Multi-Layer Models. NeurIPS (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference With Deep Generative Priors in High Dimensions. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference in Multi-Layer Networks with Matrix-Valued Unknowns. CoRR (2020)
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Generalization Error of Generalized Linear Models in High Dimensions. ICML (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS (2019)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
Inference with Deep Generative Priors in High Dimensions. CoRR (2019)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR (2019)
Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of MAP Inference in Deep Networks. CoRR (2019)
Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of MAP Inference in Deep Networks. ISIT (2019)
Parthe Pandit, Ankur A. Kulkarni
A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs. Discret. Appl. Math. 244 (2018)
Parthe Pandit, Samuel Coogan
Discount-Based Pricing and Capacity Planning for EV Charging Under Stochastic Demand. ACC (2018)
Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. NeurIPS (2018)
Parthe Pandit, Ankur A. Kulkarni
Non-constructive lower bounds for binary asymmetric error correcting codes. NCC (2017)
Parthe Pandit, Ankur A. Kulkarni
Refinement of the Equilibrium of Public Goods Games over Networks: Efficiency and Effort of Specialized Equilibria. CoRR (2016)
Parthe Pandit, Ankur A. Kulkarni
A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs. CoRR (2016)
Prateek Verma, Vinutha T. P., Parthe Pandit, Preeti Rao
Structural segmentation of Hindustani concert audio with posterior features. ICASSP (2015)