About
Discord Stateoftheart AI
GitHub

Publications

41

Cited by

2416

Anna Choromanska

machine learning
New York University

United States

Papers and Citations

1 - 50
The loss surfaces of multilayer networks
2015
Michael Mathieu
Gerard BEN AROUS
Anna Choromanska
+2
Cited by 945
Deep learning with elastic averaging SGD
2015
Sixin Zhang
Anna Choromanska
Yann LeCun
Cited by 412
Entropy-sgd: Biasing gradient descent into wide valleys
2016
Levent Sagun
Carlo Baldassi
Anna Choromanska
+6
Cited by 399
Explaining how a deep neural network trained with end-to-end learning steers a car
2017
Mariusz Bojarski
Krzysztof Choromanski
Phil Yeres
+4
Cited by 218
Open problem: The landscape of the loss surfaces of multilayer networks
2015
Anna Choromanska
Gerard BEN AROUS
Yann LeCun
Cited by 88
Logarithmic time online multiclass prediction
2015
John Langford
Anna Choromanska
Cited by 70
Visualbackprop: visualizing cnns for autonomous driving
2016
Mariusz Bojarski
Anna Choromanska
Krzysztof Choromanski
+4
Cited by 56
Fast spectral clustering via the nyström method
2013
H Kim
C Monteleoni
Anna Choromanska
+2
Cited by 44
Online clustering with experts
2012
Anna Choromanska
C Monteleoni
Cited by 43
Visualbackprop: efficient visualization of cnns
2016
Anna Choromanska
Mariusz Bojarski
Krzysztof Choromanski
+4
Cited by 35
Automatic reconstruction of neural morphologies with multi-scale tracking
2012
Anna Choromanska
Rafael Yuste
Shih-Fu Chang
Cited by 35
Binary embeddings with structured hashed projections
2016
Krzysztof Choromanski
Yann LeCun
Mariusz Bojarski
+3
Cited by 35
Sensor modality fusion with CNNs for UGV autonomous driving in indoor environments
2017
Naman Patel
Farshad Khorrami
Anna Choromanska
+1
Cited by 32
Extreme multi class classification
2013
Anna Choromanska
John Langford
Alekh Agarwal
Cited by 31
Visualbackprop: Efficient visualization of cnns for autonomous driving
2018
Anna Choromanska
Mariusz Bojarski
Phil Yeres
+5
Cited by 31
Structured adaptive and random spinners for fast machine learning computations
2017
Jamal Atif
Francois Fagan
Tamas Sarlos
+6
Cited by 25
Differentially-and non-differentially-private random decision trees
2014
Krzysztof Choromanski
Anna Choromanska
Yann LeCun
+1
Cited by 24
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
2017
Yacine Jernite
David Sontag
Anna Choromanska
Cited by 24
Beyond backprop: Online alternating minimization with auxiliary variables
2019
Sadhana Kumaravel
Brian Kingsbury
Mattia Rigotti
+8
Cited by 22
Majorization for CRFs and latent likelihoods
2012
Anna Choromanska
Tony Jebara
Cited by 19
Adversarial learning-based on-line anomaly monitoring for assured autonomy
2018
Apoorva Nandini Saridena
Naman Patel
Prashanth Krishnamurthy
+2
Cited by 12
A deep unsupervised learning approach toward MTBI identification using diffusion MRI
2018
Yvonne W Lui
Xiuyuan Wang
Sohae Chung
+6
Cited by 12
Towards automated melanoma detection with deep learning: Data purification and augmentation
2019
D Polsky
RS Berman
JA Stein
+2
Cited by 11
Differentially-private learning of low dimensional manifolds
2016
G Jagannathan
C Monteleoni
Anna Choromanska
+1
Cited by 9
Beyond backprop: Alternating minimization with co-activation memory
2018
ECENYU Tandon
Ravi Tejwani
Djallel Bouneffouf
+5
Cited by 9
A deep learning gated architecture for UGV navigation robust to sensor failures
2019
Farshad Khorrami
Anna Choromanska
Prashanth Krishnamurthy
+1
Cited by 8
On the boosting ability of top-down decision tree learning algorithm for multiclass classification
2016
Mariusz Bojarski
Krzysztof Choromanski
Anna Choromanska
Cited by 8
Invertible autoencoder for domain adaptation
2019
Anna Choromanska
Yunfei Teng
Cited by 7
Notes on using determinantal point processes for clustering with applications to text clustering
2014
Krzysztof Choromanski
Anna Choromanska
Apoorv Agarwal
Cited by 7
Skin lesion segmentation and classification with deep learning system
2019
D Polsky
R Berman
JA Stein
+2
Cited by 6
Ldsm: Logarithm-depth streaming multi-label decision trees
2020
Maryam Majzoubi
Anna Choromanska
Cited by 3
Stochastic bound majorization
2013
Tony Jebara
Anna Choromanska
Cited by 3
Selected machine learning reductions
2014
Anna Choromanska
Cited by 2
Semistochastic quadratic bound methods
2013
D Kanevsky
Aleksandr Aravkin
Tony Jebara
+1
Cited by 2
Leader stochastic gradient descent for distributed training of deep learning models
2019
Donald Goldfarb
Francois Chalus
F Chalus
+5
Cited by 2
Extreme multiclass classification criteria
2019
Anna Choromanska
Ish Jain
Cited by 1
Reconfigurable Network for Efficient Inferencing in Autonomous Vehicles
2019
S Fang
Anna Choromanska
Cited by 1
VisualBackProp for learning using privileged information with CNNs
2018
Devansh Bisla
Anna Choromanska
Cited by 1
Log-linear models, extensions, and applications
2018
Dimitri Kanevsky
Stephen J Wright
Aleksandr Aravkin
+4
Cited by 1
LSALSA: accelerated source separation via learned sparse coding
2019
Anna Choromanska
Apoorva Nandini Saridena
Benjamin Cowen
Cited by