René's URL Explorer Experiment


Title: Ben Poole

Mail addresses
benmpoole@gmail.com

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direct link

Domain: poolio.github.io

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Links:

Google DeepMindhttps://deepmind.com
Stanford Universityhttp://cs.stanford.edu/
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
Neural Dynamics and Computation labhttps://ganguli-gang.stanford.edu/
Carnegie Mellon Universityhttp://cmu.edu
Tai Sing Leehttp://www.cnbc.cmu.edu/~tai/
Google DeepMindhttps://deepmind.com/
Google Brainhttps://g.co/brain
Intel Research Pittsburghhttp://www.pittsburgh.intel-research.net/
NYU Center for Neural Sciencehttp://www.cns.nyu.edu/
Twitterhttps://twitter.com/poolio
CVhttps://cs.stanford.edu/~poole/poole_cv_nov17.pdf
Scholarhttps://scholar.google.com/citations?user=i5FMLA4AAAAJ
GitHubhttps://github.com/poolio
LinkedIn https://www.linkedin.com/in/ben-poole-4b699717
Veo 3 and Veo 2 Controls https://deepmind.google/models/veo/
flowhttps://flow.google/
project pagehttps://deepmind.google/models/veo/
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models https://cat-4d.github.io/
Rundi Wuhttps://www.cs.columbia.edu/~rundi/
Ruiqi Gaohttps://ruiqigao.github.io/
Alex Trevithickhttps://alextrevithick.github.io/
Changxi Zhenghttps://www.cs.columbia.edu/~cxz/index.htm/
Jonathan T. Barronhttps://jonbarron.info
Aleksander Holynskihttps://holynski.org/
project pagehttps://cat-4d.github.io/
arXivhttps://arxiv.org/abs/2411.18613
SimVS: Simulating World Inconsistencies for Robust View Synthesis https://alextrevithick.github.io/simvs/
Alex Trevithickhttps://alextrevithick.github.io/
Roni Paisshttps://scholar.google.com/citations?user=-KSDNZQAAAAJ&hl=en
Philipp Henzlerhttps://henzler.github.io/
Dor Verbinhttps://dorverbin.github.io/
Rundi Wuhttps://www.cs.columbia.edu/~rundi/
Hadi Alzayerhttps://hadizayer.github.io/
Ruiqi Gaohttps://ruiqigao.github.io/
Jonathan T. Barronhttps://jonbarron.info
Aleksander Holynskihttps://holynski.org/
Ravi Ramamoorthihttps://cseweb.ucsd.edu/~ravir/
Pratul P. Srinivasanhttps://pratulsrinivasan.github.io/
project pagehttps://alextrevithick.github.io/simvs/
arXivhttps://arxiv.org/abs/2412.07696
CAT3D: Create Anything in 3D with Multi-View Diffusion Models https://cat3d.github.io/
Ruiqi Gaohttps://ruiqigao.github.io/
Aleksander Holynskihttps://holynski.org/
Philipp Henzlerhttps://henzler.github.io/
Arthur Brusseehttps://github.com/ArthurBrussee
Ricardo Martin Bruallahttp://ricardomartinbrualla.com/
Pratul P. Srinivasanhttps://pratulsrinivasan.github.io/
Jonathan T. Barronhttps://jonbarron.info
project pagehttps://cat3d.github.io/
arXivhttps://arxiv.org/abs/2405.10314
EM Distillation for One-step Diffusion Modelshttps://arxiv.org/abs/2405.16852
Sirui Xiehttps://siruixie.com/
Zhisheng Xiaohttps://xavierxiao.github.io/
Durk Kingmahttps://dpkingma.com/
Tingbo Houhttps://scholar.google.com/citations?user=u-UDZcsAAAAJ&hl=en
Ying Nian Wuhttp://www.stat.ucla.edu/~ywu/
Kevin Murphyhttps://scholar.google.com/citations?user=MxxZkEcAAAAJ&hl=en
Tim Salimanshttps://scholar.google.nl/citations?user=w68-7AYAAAAJ&hl=en
Ruiqi Gaohttps://ruiqigao.github.io/
arXivhttps://arxiv.org/abs/2405.16852
Video Interpolation With Diffusion Models https://vidim-interpolation.github.io/
Siddhant Jainhttps://scholar.google.com/citations?hl=en&user=R3QF4eUAAAAJ
Daniel Watsonhttps://scholar.google.com/citations?hl=en&user=_pKKv2QAAAAJ
Eric Tabellionhttps://scholar.google.com/citations?hl=en&user=NisELjEAAAAJ
Aleksander Holynskihttps://holynski.org/
Janne Kontkanenhttps://scholar.google.com/citations?hl=en&user=MnXc4JQAAAAJ
project pagehttps://vidim-interpolation.github.io/
arXivhttps://arxiv.org/abs/2404.01203
ReconFusion: 3D Reconstruction with Diffusion Priors https://reconfusion.github.io/
Rundi Wuhttps://www.cs.columbia.edu/~rundi/
Ben Mildenhallhttps://bmild.github.io/
Keunhong Parkhttps://keunhong.com/
Philipp Henzlerhttps://henzler.github.io/
Ruiqi Gaohttps://ruiqigao.github.io/
Daniel Watsonhttps://twitter.com/watson_nn
Dor Verbinhttps://scholar.harvard.edu/dorverbin/home
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Jonathan T. Barronhttps://jonbarron.info
Aleksander Holynskihttps://holynski.org/
project pagehttps://reconfusion.github.io/
arXivhttps://arxiv.org/abs/2312.02981
Diffusion Self-Guidance for Controllable Image Generationhttps://dave.ml/selfguidance
Dave Epsteinhttps://dave.ml
Allan Jabrihttps://ajabri.github.io/
Alexei A. Efroshttp://people.eecs.berkeley.edu/~efros/
Aleksander Holynskihttps://holynski.org/
project page https://dave.ml/selfguidance
arXivhttps://arxiv.org/abs/2306.00986
DreamBooth3D: Subject-Driven Text-to-3D Generation https://dreambooth3d.github.io/
Amit Rajhttps://amitraj93.github.io/
Srinivas Kazahttps://www.linkedin.com/in/srinivas-kaza-64223b74
Michael Niemeyerhttps://m-niemeyer.github.io/
Nataniel Ruizhttps://natanielruiz.github.io/
Ben Mildenhallhttps://bmild.github.io/
Shiran Zadahttps://scholar.google.com/citations?user=I2qheksAAAAJ
Kfir Abermanhttps://kfiraberman.github.io/
Michael Rubinsteinhttp://people.csail.mit.edu/mrub/
Jonathan T. Barronhttps://jonbarron.info
Yuanzhen Lihttp://people.csail.mit.edu/yzli/
Varun Jampanihttps://varunjampani.github.io/
project pagehttps://dreambooth3d.github.io/
arXivhttps://arxiv.org/abs/2303.13508
Learning a Diffusion Prior for NeRFs https://arxiv.org/abs/2304.14473
Guandao Yanghttps://www.guandaoyang.com/
Abhijit Kunduhttps://abhijitkundu.info/
Leonidas Guibashttps://geometry.stanford.edu/member/guibas/index.html
Jonathan Barronhttps://jonbarron.info
DreamFusion: Text-to-3D using 2D Diffusion https://dreamfusion3d.github.io/
Ajay Jainhttps://www.ajayj.com/
Jonathan T. Barronhttps://jonbarron.info
Ben Mildenhallhttps://bmild.github.io/
project pagehttps://dreamfusion3d.github.io/
arXivhttps://arxiv.org/abs/2209.14988
galleryhttps://dreamfusion3d.github.io/gallery.html
Imagen Video: High Definition Video Generation with Diffusion Modelshttps://imagen.research.google/video
Jonathan Hohttp://www.jonathanho.me/
William Chanhttps://research.google/people/WilliamChan/
Chitwan Sahariahttps://chitwansaharia.github.io/
Jay Whanghttps://jaywhang.com/
Ruiqi Gaohttps://ruiqigao.github.io/
Alexey Gritsenkohttps://research.google/people/AlexeyGritsenko/
Diederik P. Kingmahttp://dpkingma.com/
Mohammad Norouzihttps://norouzi.github.io/
David J. Fleethttps://www.cs.toronto.edu/~fleet/
Tim Salimanshttps://research.google/people/106222/
arXivhttps://arxiv.org/abs/2210.02303
project pagehttps://imagen.research.google/video
Journey to the BAOAB-limit: finding effective MCMC samplers for score-based models https://ajayj.com/journey
Ajay Jainhttps://www.ajayj.com/
project pagehttps://ajayj.com/journey
paperhttps://openreview.net/forum?id=j4-a3SNyaY
Zero-Shot Text-Guided Object Generation with Dream Fields https://ajayj.com/dreamfields
Ajay Jainhttps://www.ajayj.com/
Ben Mildenhallhttps://bmild.github.io/
Jonathan T. Barronhttps://jonbarron.info
Pieter Abbeelhttps://people.eecs.berkeley.edu/~pabbeel/
project pagehttps://ajayj.com/dreamfields
arXivhttps://arxiv.org/abs/2112.01455
videohttps://www.youtube.com/watch?v=1Fke6w46tv4
Autoregressive Diffusion Modelshttps://arxiv.org/abs/2110.02037
Emiel Hoogeboomhttps://ehoogeboom.github.io/
Alexey Gritsenkohttps://research.google/people/AlexeyGritsenko/
Jasmijn Bastingshttps://bastings.github.io/
Rianne van den Berghttps://www.microsoft.com/en-us/research/people/rvandenberg/
Tim Salimanshttps://research.google/people/106222/
arXivhttps://arxiv.org/abs/2110.02037
VeLO: Training Versatile Learned Optimizers by Scaling Uphttps://arxiv.org/abs/2211.09760
Luke Metzhttp://lukemetz.github.io/
James Harrisonhttps://web.stanford.edu/~jh2/
C. Daniel Freemanhttps://scholar.google.com/citations?user=t5Xsx0IAAAAJ&hl=en
Amil Merchanthttps://scholar.google.com/citations?user=uRImMPoAAAAJ&hl=en
Lucas Beyerhttp://lucasb.eyer.be/
James Bradburyhttps://twitter.com/jekbradbury
Naman Agarwalhttps://naman33k.github.io/
Igor Mordatchhttps://twitter.com/IMordatch
Adam Robertshttps://research.google/people/104881/
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
arXivhttps://arxiv.org/abs/2211.09760
codehttps://velo-code.github.io
Variational Diffusion Modelshttps://arxiv.org/abs/2107.00630
Diederik P. Kingmahttp://dpkingma.com/
Tim Salimanshttps://research.google/people/106222/
Jonathan Hohttp://www.jonathanho.me/
arXivhttps://arxiv.org/abs/2107.00630
codehttps://github.com/google-research/vdm
Score-Based Generative Modeling through Stochastic Differential Equationshttps://arxiv.org/abs/2011.13456
Yang Songhttps://yang-song.net
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
Diederik P. Kingmahttp://dpkingma.com/
Abhishek Kumarhttps://abhishek.umiacs.io/
Stefano Ermonhttps://cs.stanford.edu/~ermon/
arXivhttps://arxiv.org/abs/2011.13456
codehttps://github.com/yang-song/score_sde
Learning Energy-Based Models by Diffusion Recovery Likelihoodhttps://arxiv.org/abs/2012.08125
Ruiqi Gaohttps://ruiqigao.github.io/
Yang Songhttps://yang-song.net
Ying Nian Wuhttp://www.stat.ucla.edu/~ywu/
Diederik P. Kingmahttp://dpkingma.com/
arXivhttps://arxiv.org/abs/2012.08125
What Makes for Good views for Contrastive Learning?https://hobbitlong.github.io/InfoMin/
Yonglong Tianhttps://people.csail.mit.edu/yonglong/
Chen Sunhttps://chensun.me/
Dilip Krishnanhttps://dilipkay.wordpress.com/
Cordelia Schmidhttps://research.google/people/CordeliaSchmid/
Philip Isolahttp://web.mit.edu/phillipi/
arXivhttps://arxiv.org/abs/2005.10243
project pagehttps://hobbitlong.github.io/InfoMin/
Weakly-Supervised Disentanglement Without Compromiseshttps://arxiv.org/abs/2002.02886
Francesco Locatellohttps://www.francescolocatello.com/
Gunnar Rätschhttps://bmi.inf.ethz.ch/people/person/gunnar-raetsch
Bernhard Schölkopfhttps://is.mpg.de/~bs
Olivier Bachemhttp://olivierbachem.ch/
Michael Tschannenhttps://mitscha.github.io/
arXivhttps://arxiv.org/abs/2002.02886
On Implicit Regularization in β-VAEshttps://arxiv.org/abs/2002.00041
Abhishek Kumarhttps://abhishek.umiacs.io/
arXivhttps://arxiv.org/abs/2002.00041
VIB is Half Bayeshttps://arxiv.org/abs/2011.08711
Alex Alemihttps://www.alexalemi.com/
Warren Morningstarhttps://scholar.google.com/citations?user=muLakuUAAAAJ&hl=en
Ian Fischerhttps://research.google/people/105625/
Josh Dillonhttps://scholar.google.com/citations?user=g8vrSV8AAAAJ&hl=en
arXivhttps://arxiv.org/abs/2011.08711
On variational bounds of mutual informationhttp://bayesiandeeplearning.org/2018/papers/136.pdf
Sherjil Ozairhttps://sherjilozair.github.io/
Aäron van den Oordhttps://avdnoord.github.io/homepage/
Alex Alemihttps://research.google.com/pubs/104980.html
George Tuckerhttps://sites.google.com/corp/view/gjt
arXivhttps://arxiv.org/abs/1905.06922
colabhttps://colab.research.google.com/github/google-research/google-research/blob/master/vbmi/vbmi_demo.ipynb
videohttps://www.facebook.com/icml.imls/videos/2202320806483370/?t=2568
slideshttps://docs.google.com/presentation/d/1dz0AVBy6VDz7SU43m0IQjuJDviEuf3NpWSeIWov_DYc/present?usp=sharing
posterhttps://drive.google.com/file/d/1C5ZYqSJRaOupQelqYgVbc9lJ7__0CDXA/view?usp=sharing
Discrete Flows: Invertible Generative Models of Discrete Datahttps://arxiv.org/abs/1905.10347
Dustin Tranhttp://dustintran.com/
Keyon Vafahttp://keyonvafa.com/
Kumar Krishna Agrawalhttps://kumarkrishna.github.io/
Laurent Dinhhttps://laurent-dinh.github.io/
arXivhttps://arxiv.org/abs/1905.10347
Preventing posterior collapse with delta-VAEshttps://arxiv.org/abs/1901.03416
Ali Razavihttps://www.linkedin.com/in/ali-razavi-b69b5a2/
Aäron van den Oordhttps://avdnoord.github.io/homepage/
Oriol Vinyalshttps://scholar.google.com/citations?user=NkzyCvUAAAAJ&hl=en
OpenReviewhttps://openreview.net/forum?id=BJe0Gn0cY7
arXivhttps://arxiv.org/abs/1901.03416
posterhttps://postersession.ai/poster/preventing-posterior-collapse-with-delta/
Neuronal Dynamics Regulating Brain and Behavioral State Transitions https://www.sciencedirect.com/science/article/pii/S009286741930220X
Michael Broxtonhttp://graphics.stanford.edu/~broxton/
Logan Grosenickhttp://www.columbia.edu/~lmg2200/
Marc Levoyhttp://graphics.stanford.edu/~levoy/
Kanaka Rajanhttp://genomics.princeton.edu/rajan/
Karl Deisserothhttp://web.stanford.edu/group/dlab/about_pi.html
Cell 2019 https://www.sciencedirect.com/science/article/pii/S009286741930220X
Fixing a Broken ELBOhttps://arxiv.org/abs/1711.00464
Alex Alemihttps://research.google.com/pubs/104980.html
Ian Fischerhttps://scholar.google.com/citations?user=tPnf61gAAAAJ&hl=en
Rif A. Sauroushttps://research.google.com/pubs/105197.html
Kevin Murphyhttps://www.cs.ubc.ca/~murphyk/
arXivhttps://arxiv.org/abs/1711.00464
Continuous relaxation training of discrete latent-variable image modelshttp://bayesiandeeplearning.org/2017/papers/54.pdf
Casper Kaae Sønderby*https://casperkaae.github.io/
Andriy Mnihhttps://www.cs.toronto.edu/~amnih/
PDFhttp://bayesiandeeplearning.org/2017/papers/54.pdf
Identification Of Cellular-Activity Dynamics Across Large Tissue Volumes In The Mammalian Brainhttp://biorxiv.org/content/early/2017/05/01/132688
Logan Grosenickhttp://www.columbia.edu/~lmg2200/
Michael Broxtonhttp://graphics.stanford.edu/~broxton/
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
Marc Levoyhttp://graphics.stanford.edu/~levoy/
Karl Deisserothhttp://web.stanford.edu/group/dlab/about_pi.html
bioRxivhttp://biorxiv.org/content/early/2017/05/01/132688
Continual Learning through Synaptic Intelligencehttps://arxiv.org/abs/1703.04200
Friedemann Zenkehttp://fzenke.net
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
arXivhttps://arxiv.org/abs/1703.04200
codehttps://github.com/ganguli-lab/pathint
On the expressive power of deep neural networkshttps://arxiv.org/abs/1606.05336
Maithra Raghuhttp://maithraraghu.com/
Jon Kleinberghttps://www.cs.cornell.edu/home/kleinber/
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
arXivhttps://arxiv.org/abs/1606.05336
Time-warped PCA: simultaneous alignment and dimensionality reduction of neural datahttps://poolio.github.io/warptour.pdf
Alex Williamshttp://alexhwilliams.info
Niru Maheswaranathanhttp://niru.org/
Byron Yuhttps://users.ece.cmu.edu/~byronyu/
Stephen Baccushttps://sites.stanford.edu/baccuslab/
Krishna Shenoyhttp://web.stanford.edu/~shenoy/
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
abstracthttps://poolio.github.io/warptour.pdf
posterhttps://poolio.github.io/twpca_poster.pdf
codehttps://github.com/ganguli-lab/twpca
Categorical Reparameterization with Gumbel-Softmaxhttps://arxiv.org/abs/1611.01144
Eric Janghttp://http://evjang.com/
Shane Guhttp://sg717.user.srcf.net/
arXivhttps://arxiv.org/abs/1611.01144
blog posthttp://blog.evjang.com/2016/11/tutorial-categorical-variational.html
Unrolled Generative Adversarial Networkshttp://arxiv.org/abs/1611.02163
Luke Metzhttp://lukemetz.github.io/
David Pfauhttp://davidpfau.com/
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
arXivhttps://arxiv.org/abs/1611.02163
codehttp://github.com/poolio/unrolled_gan
Adversarially learned inferencehttps://arxiv.org/abs/1606.00704
Vincent Dumoulinhttp://vdumoulin.github.io/about/
arXivhttps://arxiv.org/abs/1606.00704
project pagehttps://ishmaelbelghazi.github.io/ALI/
Exponential expressivity in deep neural networks throughtransient chaoshttp://arxiv.org/abs/1606.05340
Subhaneil Lahirihttps://profiles.stanford.edu/subhaneil-lahiri
Maithra Raghuhttp://maithraraghu.com/
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
arXivhttp://arxiv.org/abs/1606.05340
codehttps://github.com/ganguli-lab/deepchaos
posterhttps://poolio.github.io/deepchaos_poster.pdf
Improved generator objectives for GANshttps://arxiv.org/abs/1612.02780
Alex Alemihttp://research.google.com/pubs/104980.html
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
Anelia Angelovahttp://www.vision.caltech.edu/anelia/
arXivhttps://arxiv.org/abs/1612.02780
posterhttps://poolio.github.io/wat16_gan_gen_obj.pdf
Direction Selectivity in Drosophila Emerges from Preferred-Direction Enhancement and Null-Direction Suppression http://www.jneurosci.org/content/36/31/8078.short
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
The Fast Bilateral Solverhttps://people.eecs.berkeley.edu/~barron/BarronPooleECCV2016.pdf
Jonathan T. Barronhttps://people.eecs.berkeley.edu/~barron/
arXivhttp://arxiv.org/abs/1511.03296
supplementhttps://people.eecs.berkeley.edu/~barron/BarronPooleECCV2016_supp.pdf
codehttp://github.com/poolio/bilateral_solver
bibtexhttps://people.eecs.berkeley.edu/~barron/BarronPooleECCV2016.bib
Fast large-scale optimization by unifying stochastic gradient and quasi-newton methodshttp://arxiv.org/abs/1311.2115
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
arXivhttp://arxiv.org/abs/1311.2115
codehttps://github.com/Sohl-Dickstein/Sum-of-Functions-Optimizer
Analyzing noise in auotoencoders and deep networkshttp://arxiv.org/abs/1406.1831
Jascha Sohl-Dicksteinhttp://www.sohldickstein.com/
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
arXivhttp://arxiv.org/abs/1406.1831
Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesishttp://www.mitpressjournals.org/doi/abs/10.1162/jocn_a_00033
Robust non-rigid alignment of volumetric calcium imaging datahttps://poolio.github.io/
Logan Grosenickhttp://www.columbia.edu/~lmg2200/
Michael Broxtonhttp://graphics.stanford.edu/~broxton/
Karl Deisserothhttp://web.stanford.edu/group/dlab/about_pi.html
Surya Gangulihttps://ganguli-gang.stanford.edu/surya.html
posterhttps://poolio.github.io/
Connecting scene statistics to probabilistic population codesand tuning properties of V1 neuronshttps://poolio.github.io/
cloned from clonehttps://people.eecs.berkeley.edu/~barron/

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