Raghav Somani

18 papers A* 6A 1Journal 10
YearRankTypeTitle / Venue / Authors
2024 — —
Scaling Limits of Algorithms on Large Matrices
Raghav Somani
2022 J jnl
Stochastic optimization on matrices and a graphon McKean-Vlasov limit.
CoRR
Zaïd Harchaoui, Sewoong Oh, Soumik Pal, Raghav Somani, Raghavendra Tripathi
2021 A* conf
Defense against backdoor attacks via robust covariance estimation.
ICML
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
2021 J jnl
Gradient flows on graphons: existence, convergence, continuity equations.
CoRR
Sewoong Oh, Soumik Pal, Raghav Somani, Raghav Tripathi
2021 A* conf
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes.
NeurIPS
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
2021 J jnl
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes.
CoRR
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
2021 J jnl
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics.
CoRR
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
2020 A* conf
Meta-learning for Mixed Linear Regression.
ICML
Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh
2020 J jnl
Meta-learning for mixed linear regression.
CoRR
Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh
2020 A* conf
Robust Meta-learning for Mixed Linear Regression with Small Batches.
NeurIPS
Weihao Kong, Raghav Somani, Sham M. Kakade, Sewoong Oh
2020 J jnl
Robust Meta-learning for Mixed Linear Regression with Small Batches.
CoRR
Weihao Kong, Raghav Somani, Sham M. Kakade, Sewoong Oh
2020 A* conf
Soft Threshold Weight Reparameterization for Learnable Sparsity.
ICML
Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
2020 J jnl
Soft Threshold Weight Reparameterization for Learnable Sparsity.
CoRR
Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
2019 A conf
Clustered Monotone Transforms for Rating Factorization.
WSDM
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
2019 J jnl
Non-Gaussianity of Stochastic Gradient Noise.
CoRR
Abhishek Panigrahi, Raghav Somani, Navin Goyal, Praneeth Netrapalli
2018 J jnl
Clustered Monotone Transforms for Rating Factorization.
CoRR
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
2018 A* conf
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds.
NeurIPS
Raghav Somani, Chirag Gupta, Prateek Jain, Praneeth Netrapalli
2017 J jnl
A case study of Empirical Bayes in User-Movie Recommendation system.
CoRR
Arabin Kumar Dey, Raghav Somani, Sreangsu Acharyya
redb/extractors/decompiler/bninja/pyproject.toml
← Index redb/extractors/decompiler/bninja/pyproject.toml ini 
[project]
name = "bninja"
version = "0.1.0"
requires-python = ">= 3.12"
dependencies = []

[tool.ruff]
line-length = 88
target-version = "py312"
exclude = [
    "_archive"
]
# Enable or disable some rules
[tool.ruff.lint]
select = [
    # pycodestyle
    "E",
    # Pyflakes
    "F",
    # pyupgrade
    "UP",
    # flake8-bugbear
    "B",
    # flake8-simplify
    "SIM",
    # isort
    "I",
]
ignore = ["E501"]

[tool.ruff.format]
quote-style = "double"
indent-style = "space"