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1711.02114
Cited By
Bounding and Counting Linear Regions of Deep Neural Networks
6 November 2017
Thiago Serra
Christian Tjandraatmadja
Srikumar Ramalingam
MLT
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Papers citing
"Bounding and Counting Linear Regions of Deep Neural Networks"
50 / 57 papers shown
Title
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition
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Reinforcement learning with combinatorial actions for coupled restless bandits
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Bryan Wilder
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Milind Tambe
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NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
Raphael T. Husistein
Markus Reiher
Marco Eckhoff
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20 Feb 2025
On Space Folds of ReLU Neural Networks
Michal Lewandowski
Hamid Eghbalzadeh
Bernhard Heinzl
Raphael Pisoni
Bernhard A.Moser
MLT
87
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17 Feb 2025
A Relative Homology Theory of Representation in Neural Networks
Kosio Beshkov
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17 Feb 2025
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
Arturs Berzins
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12 Jun 2023
Learning Prescriptive ReLU Networks
Wei-Ju Sun
Asterios Tsiourvas
21
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01 Jun 2023
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks
Pawel Pukowski
Haiping Lu
33
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09 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
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29 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study
Gerrit Nolte
Maximilian Schlüter
Alnis Murtovi
Bernhard Steffen
AAML
20
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28 Apr 2023
Algorithmic Recourse with Missing Values
Kentaro Kanamori
Takuya Takagi
Ken Kobayashi
Yuichi Ike
31
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28 Apr 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
Chunyan Xiong
Meng Lu
Xiaotong Yu
JIAN-PENG Cao
Zhong Chen
D. Guo
X. Qu
MLT
40
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14 Apr 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
29
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19 Jan 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
Junyang Cai
Khai-Nguyen Nguyen
Nishant Shrestha
Aidan Good
Ruisen Tu
Xin Yu
Shandian Zhe
Thiago Serra
MLT
40
7
0
19 Jan 2023
Effects of Data Geometry in Early Deep Learning
Saket Tiwari
George Konidaris
82
7
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29 Dec 2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Anders Aamand
Justin Y. Chen
Piotr Indyk
Shyam Narayanan
R. Rubinfeld
Nicholas Schiefer
Sandeep Silwal
Tal Wagner
39
21
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06 Nov 2022
Non-Linear Coordination Graphs
Yipeng Kang
Tonghan Wang
Xiao-Ren Wu
Qianlan Yang
Chongjie Zhang
37
9
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26 Oct 2022
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen
H. Garudadri
Bhaskar D. Rao
11
19
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13 Oct 2022
Curved Representation Space of Vision Transformers
Juyeop Kim
Junha Park
Songkuk Kim
Jongseok Lee
ViT
41
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11 Oct 2022
Batch Normalization Explained
Randall Balestriero
Richard G. Baraniuk
AAML
36
16
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29 Sep 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity
Benoit Dherin
Michael Munn
M. Rosca
David Barrett
57
31
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27 Sep 2022
Sparse deep neural networks for modeling aluminum electrolysis dynamics
E. Lundby
Adil Rasheed
I. Halvorsen
J. Gravdahl
29
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13 Sep 2022
On the Number of Regions of Piecewise Linear Neural Networks
Alexis Goujon
Arian Etemadi
M. Unser
44
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17 Jun 2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks
Hao Chen
Yu Wang
Huan Xiong
GNN
16
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01 Jun 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems
Soma Kontár
A. Horváth
AAML
35
1
0
21 May 2022
Training Fully Connected Neural Networks is
∃
R
\exists\mathbb{R}
∃
R
-Complete
Daniel Bertschinger
Christoph Hertrich
Paul Jungeblut
Tillmann Miltzow
Simon Weber
OffRL
61
30
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04 Apr 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
44
48
0
09 Mar 2022
Training Thinner and Deeper Neural Networks: Jumpstart Regularization
Carles Roger Riera Molina
Camilo Rey
Thiago Serra
Eloi Puertas
O. Pujol
27
4
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30 Jan 2022
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
T. Lew
Lucas Janson
Riccardo Bonalli
Marco Pavone
32
18
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10 Dec 2021
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park
Sangho Lee
Gunhee Kim
David M. Blei
SSL
26
8
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07 Dec 2021
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Zhenhong Sun
Ming Lin
Xiuyu Sun
Zhiyu Tan
Hao Li
Rong Jin
23
32
0
26 Nov 2021
SPINE: Soft Piecewise Interpretable Neural Equations
Jasdeep Singh Grover
Harsh Minesh Domadia
Rajashree Tapase
Grishma Sharma
19
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20 Nov 2021
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu
Wenchao Li
KELM
AAML
41
26
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14 Oct 2021
Convergence of Deep ReLU Networks
Yuesheng Xu
Haizhang Zhang
37
27
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27 Jul 2021
Multifidelity Modeling for Physics-Informed Neural Networks (PINNs)
Michael Penwarden
Shandian Zhe
A. Narayan
Robert M. Kirby
29
43
0
25 Jun 2021
Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
Guido Montúfar
Yue Ren
Leon Zhang
20
39
0
16 Apr 2021
Fast Jacobian-Vector Product for Deep Networks
Randall Balestriero
Richard Baraniuk
31
4
0
01 Apr 2021
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Quynh N. Nguyen
Marco Mondelli
Guido Montúfar
25
81
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21 Dec 2020
Certified Monotonic Neural Networks
Xingchao Liu
Xing Han
Na Zhang
Qiang Liu
24
79
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20 Nov 2020
On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity
Yuuki Takai
Akiyoshi Sannai
Matthieu Cordonnier
80
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23 Oct 2020
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
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115
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Influence Functions in Deep Learning Are Fragile
S. Basu
Phillip E. Pope
S. Feizi
TDI
37
219
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25 Jun 2020
The Depth-to-Width Interplay in Self-Attention
Yoav Levine
Noam Wies
Or Sharir
Hofit Bata
Amnon Shashua
30
45
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22 Jun 2020
In Proximity of ReLU DNN, PWA Function, and Explicit MPC
Saman Fahandezh-Saadi
Masayoshi Tomizuka
18
4
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09 Jun 2020
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
Christoph Hertrich
M. Skutella
50
21
0
28 May 2020
Approximation in shift-invariant spaces with deep ReLU neural networks
Yunfei Yang
Zhen Li
Yang Wang
34
14
0
25 May 2020
An Outer-approximation Guided Optimization Approach for Constrained Neural Network Inverse Problems
Myun-Seok Cheon
8
5
0
24 Feb 2020
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
Xiao Zhang
Dongrui Wu
21
38
0
04 Jan 2020
Lossless Compression of Deep Neural Networks
Thiago Serra
Abhinav Kumar
Srikumar Ramalingam
24
56
0
01 Jan 2020
Is Deeper Better only when Shallow is Good?
Eran Malach
Shai Shalev-Shwartz
28
45
0
08 Mar 2019
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