Omri Barak

24 papers A* 5Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions.
CoRR
Kabir V. Dabholkar, Omri Barak
2025 J jnl
Learning Dynamics of RNNs in Closed-Loop Environments.
CoRR
Yoav Ger, Omri Barak
2025 J jnl
Multi-step Predictive Coding Leads To Simplicity Bias.
CoRR
Aviv Ratzon, Omri Barak
2024 J jnl
Revealing and reshaping attractor dynamics in large networks of cortical neurons.
PLoS Comput. Biol.
Chen Beer, Omri Barak
2024 J jnl
Trained recurrent neural networks develop phase-locked limit cycles in a working memory task.
PLoS Comput. Biol.
Matthijs Pals, Jakob H. Macke, Omri Barak
2024 J jnl
When predict can also explain: few-shot prediction to select better neural latents.
CoRR
Kabir V. Dabholkar, Omri Barak
2023 A* conf
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation.
NeurIPS
Elia Turner, Omri Barak
2021 A* conf
Charting and Navigating the Space of Solutions for Recurrent Neural Networks.
NeurIPS
Elia Turner, Kabir V. Dabholkar, Omri Barak
2021 J jnl
Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework.
Neural Comput.
Omri Barak, Sandro Romani
2020 A* conf
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors.
ICLR
Tie Xu, Omri Barak
2020 J jnl
Scale free topology as an effective feedback system.
PLoS Comput. Biol.
Alexander Rivkind, Hallel Schreier, Naama Brenner, Omri Barak
2020 A* conf
The interplay between randomness and structure during learning in RNNs.
NeurIPS
Friedrich Schüßler, Francesca Mastrogiuseppe, Alexis M. Dubreuil, Srdjan Ostojic, Omri Barak
2019 J jnl
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks.
Neural Comput.
Chen Beer, Omri Barak
2019 J jnl
Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network.
CoRR
Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko
2019 A* conf
Understanding and Controlling Memory in Recurrent Neural Networks.
ICML
Doron Haviv, Alexander Rivkind, Omri Barak
2019 J jnl
Understanding and Controlling Memory in Recurrent Neural Networks.
CoRR
Doron Haviv, Alexander Rivkind, Omri Barak
2017 J jnl
A New Approach to Model Pitch Perception Using Sparse Coding.
PLoS Comput. Biol.
Oded Barzelay, Miriam Furst, Omri Barak
2013 J jnl
Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks.
Neural Comput.
David Sussillo, Omri Barak
2013 J jnl
The importance of mixed selectivity in complex cognitive tasks.
Nat.
Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi
2011 J jnl
A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition.
Neural Comput.
Omri Barak, Mattia Rigotti
2008 J jnl
Slow oscillations in neural networks with facilitating synapses.
J. Comput. Neurosci.
Ofer Melamed, Omri Barak, Gilad Silberberg, Henry Markram, Misha Tsodyks
2007 J jnl
Correction: Persistent Activity in Neural Networks with Dynamic Synapses.
PLoS Comput. Biol.
Omri Barak, Misha Tsodyks
2007 J jnl
Persistent Activity in Neural Networks with Dynamic Synapses.
PLoS Comput. Biol.
Omri Barak, Misha Tsodyks
2006 J jnl
Recognition by Variance: Learning Rules for Spatiotemporal Patterns.
Neural Comput.
Omri Barak, Misha Tsodyks
redb/extractors/decompiler/apk/__init__.py
← Index redb/extractors/decompiler/apk/__init__.py python 
"""APK code analysis module — androguard + JADX + apktool integration."""

from redb.extractors.decompiler.apk.analyzer import APKCodeAnalyzer
from redb.extractors.decompiler.apk.library_filter import LibraryFilter
from redb.extractors.decompiler.apk.smali_parser import SmaliParser
from redb.extractors.decompiler.apk.jadx_wrapper import JADXDecompiler
from redb.extractors.decompiler.apk.apktool_wrapper import ApktoolDisassembler

__all__ = [
    "APKCodeAnalyzer",
    "LibraryFilter",
    "SmaliParser",
    "JADXDecompiler",
    "ApktoolDisassembler",
]