Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAlireza Makhzani
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[i13]Juan Carrasquilla, Mohamed Hibat-Allah, Estelle M. Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai:
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition. CoRR abs/2301.08292 (2023)- [i12]Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger B. Grosse, Alireza Makhzani:
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. CoRR abs/2303.06992 (2023) - 2022
- [c11]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. DCC 2022: 322-331 - [c10]Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani:
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. ICLR 2022 - [i11]Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani:
Variational Model Inversion Attacks. CoRR abs/2201.10787 (2022) - [i10]Kirill Neklyudov, Daniel Severo, Alireza Makhzani:
Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples. CoRR abs/2210.06662 (2022) - 2021
- [c9]Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison:
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. ICML 2021: 9136-9147 - [c8]Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani:
Variational Model Inversion Attacks. NeurIPS 2021: 9706-9719 - [i9]Yangjun Ruan, Karen Ullrich, Daniel Severo
, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison:
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR abs/2102.11086 (2021) - [i8]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. CoRR abs/2107.09202 (2021) - 2020
- [c7]Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse:
Evaluating Lossy Compression Rates of Deep Generative Models. ICML 2020: 4444-4454 - [i7]Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse:
Evaluating Lossy Compression Rates of Deep Generative Models. CoRR abs/2008.06653 (2020) - [i6]Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg:
Likelihood Ratio Exponential Families. CoRR abs/2012.15480 (2020)
2010 – 2019
- 2018
- [i5]Alireza Makhzani:
Implicit Autoencoders. CoRR abs/1805.09804 (2018) - 2017
- [c6]Alireza Makhzani, Brendan J. Frey:
PixelGAN Autoencoders. NIPS 2017: 1975-1985 - [i4]Alireza Makhzani, Brendan J. Frey:
PixelGAN Autoencoders. CoRR abs/1706.00531 (2017) - [i3]Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John P. Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy P. Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing:
StarCraft II: A New Challenge for Reinforcement Learning. CoRR abs/1708.04782 (2017) - 2015
- [c5]Alireza Makhzani, Brendan J. Frey:
Winner-Take-All Autoencoders. NIPS 2015: 2791-2799 - [i2]Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian J. Goodfellow:
Adversarial Autoencoders. CoRR abs/1511.05644 (2015) - 2014
- [c4]Alireza Makhzani, Brendan J. Frey:
k-Sparse Autoencoders. ICLR (Poster) 2014 - [i1]Alireza Makhzani, Brendan J. Frey:
A Winner-Take-All Method for Training Sparse Convolutional Autoencoders. CoRR abs/1409.2752 (2014) - 2013
- [c3]Alireza Makhzani, Shahrokh Valaee:
Distributed spectrum sensing in cognitive radios via graphical models. CAMSAP 2013: 376-379 - 2012
- [c2]Alireza Makhzani, Shahrokh Valaee:
Reconstruction of jointly sparse signals using iterative hard thresholding. ICC 2012: 3564-3568 - 2011
- [c1]Alireza Makhzani, Shahrokh Valaee:
Reconstruction of a Generalized Joint Sparsity Model using Principal Component Analysis. CAMSAP 2011: 269-272
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-03-17 22:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
