René's URL Explorer Experiment


Title: Linderman Lab at Stanford University

direct link

Domain: lindermanlab.github.io

Links:

Statistics Departmenthttps://statistics.stanford.edu/
Wu Tsai Neurosciences Institutehttps://neuroscience.stanford.edu/
Researchhttps://lindermanlab.github.io/#research
Grouphttps://lindermanlab.github.io/#group
Teachinghttps://lindermanlab.github.io/#teaching
Publicationshttps://lindermanlab.github.io/#publications
Codehttps://github.com/lindermanlab
Linderman et al., 2017https://lindermanlab.github.io/#linderman2017recurrent
Hu et al., 2024https://lindermanlab.github.io/#hu2024modeling
Linderman et al., 2017https://lindermanlab.github.io/#linderman2017recurrent
Hu et al., 2024https://lindermanlab.github.io/#hu2024modeling
Weinreb et al., 2024https://lindermanlab.github.io/#weinreb2024keypoint
Nair et al., 2023https://lindermanlab.github.io/#nair2023approximate
Vinograd et al., 2024https://lindermanlab.github.io/#vinograd2024intrinsic
Markowitz et al., 2023https://lindermanlab.github.io/#markowitz2023spontaneous
Bedbrook et al., 2025https://lindermanlab.github.io/#bedbrook2026lifelong
SSMhttps://github.com/lindermanlab/ssm
Dynamaxhttps://probml.github.io/dynamax/
Linderman et al., 2025https://lindermanlab.github.io/#linderman2025dynamax
Smith et al., 2023https://lindermanlab.github.io/#smith2023simplified
Smith et al., 2023ahttps://lindermanlab.github.io/#smith2023simplified
bhttps://lindermanlab.github.io/#smith2023convolutional
Gonzalez et al., 2024https://lindermanlab.github.io/#gonzalez2024towards
2025https://lindermanlab.github.io/#gonzalez2025predictability
2026https://lindermanlab.github.io/#gonzalez2026unifying
Narayan et al., 2025https://lindermanlab.github.io/#narayan2025minions
He et al., 2026https://lindermanlab.github.io/#he2026information
Zhao et al., 2025https://lindermanlab.github.io/#zhao2025informed
Zhao and Linderman, 2023https://lindermanlab.github.io/#zhao2023revisiting
Hu and Smith et al., 2025https://lindermanlab.github.io/#hu2025sing
Smith et al., 2026https://lindermanlab.github.io/#smith2026closing
Zoltowski et al., 2025https://lindermanlab.github.io/#zoltowski2025parallelizing
Naesseth et al., 2018https://lindermanlab.github.io/#naesseth2018variational
Lawson et al., 2022https://lindermanlab.github.io/#lawson2022sixo
2023https://lindermanlab.github.io/#lawson2023nasx
Williams et al., 2020https://lindermanlab.github.io/#williams2020point
Wang et al., 2023https://lindermanlab.github.io/#wang2023spatiotemporal
Linderman and Adams, 2014https://lindermanlab.github.io/#linderman2014discovering
Zhao and Linderman, 2023https://lindermanlab.github.io/#zhao2023revisiting
https://lindermanlab.github.io/images/scott_2019.jpg
Statisticshttps://statistics.stanford.edu/
Wu Tsai Neurosciences Institutehttps://neuroscience.stanford.edu/
Computer Sciencehttps://cs.stanford.edu/
Stanford Bio-Xhttps://biox.stanford.edu/
Stanford AI Labhttps://ai.stanford.edu/
Liam Paninskihttp://www.stat.columbia.edu/~liam/
David Bleihttp://www.cs.columbia.edu/~blei/
Ryan Adamshttp://www.cs.princeton.edu/~rpa/
Leslie Valianthttp://people.seas.harvard.edu/~valiant/
CV https://lindermanlab.github.io/cv/cv.pdf
Google Scholar https://scholar.google.com/citations?user=6mD3I24AAAAJ&hl=en
https://smithhenryd.github.io/
Kanha Batrahttps://smithhenryd.github.io/
https://www.ekbuchanan.com/
Kelly Buchananhttps://www.ekbuchanan.com/
https://www.linkedin.com/in/cole-citrenbaum-26b18820a/
Cole Citrenbaumhttps://www.linkedin.com/in/cole-citrenbaum-26b18820a/
https://www.linkedin.com/in/noah-cowan/
Noah Cowanhttps://www.linkedin.com/in/noah-cowan/
https://aditijha7.com/
Aditi Jhahttps://aditijha7.com/
https://www.linkedin.com/in/yiqi-jiang-aa1363173/
Yiqi Jianghttps://www.linkedin.com/in/yiqi-jiang-aa1363173/
https://www.linkedin.com/in/etaash-katiyar-77108818b/
Etaash Katiyarhttps://www.linkedin.com/in/etaash-katiyar-77108818b/
https://www.linkedin.com/in/hannahlee-neuro/
Hannah Leehttps://www.linkedin.com/in/hannahlee-neuro/
https://www.linkedin.com/in/hyundongleee
Hyun Dong Leehttps://www.linkedin.com/in/hyundongleee
https://alisalevin.github.io/
Alisa Levinhttps://alisalevin.github.io/
https://www.linkedin.com/in/joshua-lunger-586703238/
Josh Lungerhttps://www.linkedin.com/in/joshua-lunger-586703238/
https://jakubsmekal.com/
Jakub Smékalhttps://jakubsmekal.com/
https://smithhenryd.github.io/
Henry Smithhttps://smithhenryd.github.io/
https://www.linkedin.com/in/ian-c-tanoh/en
Ian Christopher Tanohhttps://www.linkedin.com/in/ian-c-tanoh/en
https://scholar.google.com/citations?user=tpguLYkAAAAJ&hl=en
Skyler Wuhttps://scholar.google.com/citations?user=tpguLYkAAAAJ&hl=en
https://nicolaszucchet.github.io/
Nicolas Zucchethttps://nicolaszucchet.github.io/
Ben Antinhttps://www.benjaminantin.com/
Shaunak Bhandarkarhttps://www.linkedin.com/in/shaunak-bhandarkar-879160229/
Dan Bidermanhttps://dan-biderman.netlify.app/
Engram Labhttps://engram.com/
Julia Costacurtahttps://jcostacurta11.github.io/
Lea Dunckerhttps://leaduncker.github.io/
Elizabeth DuPrehttps://elizabeth-dupre.com/
Xavier Gonzalezhttps://xaviergonzalez.github.io/
Amber Huhttps://www.linkedin.com/in/amber-hu-aa6765147
Maxwell Koungahttps://www.linkedin.com/in/maxwell-kounga-2037061b6/
Dieterich Lawsonhttp://di.eteri.ch
Sophia Luhttps://www.linkedin.com/in/sophia-lu-083891127/
Matthew MacKayhttps://lindermanlab.github.io/
Aditya Nairhttps://www.nairlab.science/
Blue Shefferhttps://www.linkedin.com/in/blue-sheffer-51730a71/
Jimmy Smithhttps://jimmysmith1919.github.io/
Andy Warringtonhttps://github.com/andrewwarrington
Alex Williamshttp://neurostatslab.org/
Libby Zhanghttps://scholar.google.com/citations?user=Q5dMYt8AAAAJ&hl=en
Yixiu Zhaohttps://lindermanlab.github.io/
David Zoltowskihttps://www.davidzoltowski.com/
https://slinderman.github.io/ml4nd/
https://slinderman.github.io/ml4ndhttps://slinderman.github.io/ml4nd/
https://slinderman.github.io/stats305b/
https://slinderman.github.io/stats305bhttps://slinderman.github.io/stats305b/
https://slinderman.github.io/stats305c/
https://slinderman.github.io/stats305chttps://slinderman.github.io/stats305c/
arXivhttps://arxiv.org/abs/2606.16138
Paperhttps://openreview.net/forum?id=4hoiRJsmpp
Paperhttps://openreview.net/forum?id=fw6GgAIGur
arXivhttps://arxiv.org/abs/2509.21716
Codehttps://github.com/lindermanlab/parallelizing_with_lds
Paperhttps://www.science.org/doi/10.1126/science.aea9795
bioRxivhttps://www.biorxiv.org/content/early/2025/11/24/2025.11.21.688112
bioRxivhttps://www.biorxiv.org/content/early/2026/03/10/2026.03.07.710319
Codehttps://github.com/lindermanlab/smds
Paperhttps://openreview.net/pdf?id=w3bMXPMDW1
arXivhttps://arxiv.org/abs/2502.08695
Codehttps://github.com/rwl93/bnp4ood
Paperhttps://www.sciencedirect.com/science/article/pii/S0896627325008943
Paperhttps://openreview.net/forum?id=Lp1noMpMUG
arXivhttps://arxiv.org/abs/2511.21740
Paperhttps://openreview.net/forum?id=isFHz8qf20
arXivhttps://arxiv.org/abs/2512.21720
bioRxivhttps://www.biorxiv.org/content/early/2026/01/14/2026.01.12.699110
Paperhttps://www.cell.com/neuron/fulltext/S0896-6273(25)00850-5
PsyArXivhttps://osf.io/preprints/psyarxiv/x2tj9_v1
bioRxivhttps://www.biorxiv.org/content/early/2025/08/01/2025.07.31.667987
Paperhttps://www.sciencedirect.com/science/article/pii/S089662732500515X
bioRxivhttps://www.biorxiv.org/content/10.1101/2023.09.05.556267v1
Paperhttps://openreview.net/forum?id=1si0Vq4O91
arXivhttps://arxiv.org/abs/2506.20233
Codehttps://github.com/ianctanoh/eap-fit-hh/
arXivhttps://arxiv.org/abs/2508.16817
arXivhttps://arxiv.org/abs/2506.17796
Codehttps://github.com/lindermanlab/sing
arXivhttps://arxiv.org/abs/2508.18413
Codehttps://github.com/lindermanlab/parallel-mcmc
arXivhttps://arxiv.org/abs/2506.18203
Paperhttps://openreview.net/forum?id=uvTea5Rfek
bioRxivhttps://www.biorxiv.org/content/10.1101/2025.11.11.686428v1.full
Codehttps://github.com/schnitzer-lab/CANDY-public
arXivhttps://arxiv.org/abs/2407.21243
arXivhttps://arxiv.org/abs/2502.15964
Codehttps://github.com/HazyResearch/minions
bioRxivhttps://www.biorxiv.org/content/10.1101/2025.02.07.637062v1
Paperhttps://joss.theoj.org/papers/10.21105/joss.07069
Codehttps://github.com/probml/dynamax
Paperhttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013291
bioRxivhttps://www.biorxiv.org/content/10.1101/2024.07.30.605869v2
Codehttps://github.com/robinvloeberghs/hMFC
arXivhttps://arxiv.org/abs/2412.17227
bioRxivhttps://www.biorxiv.org/content/10.1101/2024.08.26.609746v1
bioRxivhttps://www.biorxiv.org/content/early/2024/08/03/2024.08.02.606282
Paperhttps://www.nature.com/articles/s41586-024-07915-x
bioRxivhttps://www.biorxiv.org/content/early/2024/05/22/2024.05.21.595051.1
Paperhttps://www.sciencedirect.com/science/article/pii/S0092867424009061
Paperhttps://www.nature.com/articles/s41586-024-07916-w
bioRxivhttps://www.biorxiv.org/content/10.1101/2023.05.22.541741v1
Paperhttps://openreview.net/forum?id=x4Kchcq2du
arXivhttps://arxiv.org/abs/2408.03330
Paperhttps://openreview.net/forum?id=HbIBqn3grD
bioRxivhttps://www.biorxiv.org/content/10.1101/2024.07.26.605315v1
Paperhttps://openreview.net/forum?id=hBCxxVQDBw
arXivhttp://arxiv.org/abs/2407.19115
Paperhttps://www.nature.com/articles/s41593-024-01705-4
Paperhttps://www.nature.com/articles/s41592-024-02318-2
bioRxivhttps://www.biorxiv.org/content/10.1101/2023.03.16.532307v1
Codehttps://github.com/dattalab/keypoint-moseq
arXivhttps://arxiv.org/abs/2407.07279
arXivhttps://arxiv.org/abs/2310.19694
Codehttps://github.com/NVlabs/ConvSSM
arXivhttps://arxiv.org/abs/2308.14864
Codehttp://sixo.ai/
arXivhttps://arxiv.org/abs/2306.03291
Codehttps://github.com/lindermanlab/salt
bioRxivhttps://www.biorxiv.org/content/early/2023/04/07/2023.04.04.535512
Paperhttps://www.tandfonline.com/doi/full/10.1080/01621459.2023.2257896
arXivhttps://arxiv.org/abs/2201.05044
Codehttps://github.com/lindermanlab/NeymanScottProcesses.jl
Paperhttp://proceedings.mlr.press/v202/zhao23c/zhao23c.pdf
arXivhttps://arxiv.org/abs/2305.16543
Codehttps://github.com/lindermanlab/SVAE-Revisited
Paperhttps://openreview.net/forum?id=Ai8Hw3AXqks
arXivhttps://arxiv.org/abs/2208.04933
Codehttps://github.com/lindermanlab/S5
Paperhttps://www.nature.com/articles/s41586-022-05611-2
Paperhttps://www.sciencedirect.com/science/article/pii/S0092867422014714
bioRxivhttps://www.biorxiv.org/content/10.1101/2022.04.19.488776v1
Paperhttps://openreview.net/forum?id=bDyLgfvZ0qJ
arXivhttps://arxiv.org/abs/2206.05952
Codehttps://github.com/lindermanlab/sixo
Paperhttps://openreview.net/forum?id=6Kj1wCgiUp_
bioRxivhttps://www.biorxiv.org/content/10.1101/2022.06.10.495690v2
Paperhttps://escholarship.org/content/qt7gk617ss/qt7gk617ss.pdf
arXivhttps://psyarxiv.com/h2r8d
Paperhttps://www.pnas.org/doi/pdf/10.1073/pnas.2113961119
bioRxivhttps://www.biorxiv.org/content/10.1101/2021.05.13.444094v2
Paperhttps://www.nature.com/articles/s42254-022-00430-w
Paperhttps://www.cell.com/neuron/fulltext/S0896-6273(22)00106-4
Codehttps://lindermanlab.github.io/hackathons/#swr
Paperhttps://www.sciencedirect.com/science/article/pii/S0959438821001203
arXivhttps://arxiv.org/abs/2103.05075
Paperhttps://papers.nips.cc/paper/2021/hash/8b77b4b5156dc11dec152c6c71481565-Abstract.html
arXivhttps://arxiv.org/abs/2111.01256
Codehttps://github.com/jimmysmith1919/JSLDS_public
Paperhttps://papers.nips.cc/paper/2021/hash/252a3dbaeb32e7690242ad3b556e626b-Abstract.html
arXivhttps://arxiv.org/abs/2110.14739
Codehttps://github.com/ahwillia/netrep
Paperhttps://elifesciences.org/articles/66410
arXivhttps://arxiv.org/abs/2101.08211
Paperhttps://www.sciencedirect.com/science/article/pii/S0896627321005043
bioRxivhttps://www.biorxiv.org/content/early/2020/10/07/2020.10.05.326942.full.pdf
Paperhttp://proceedings.mlr.press/v130/zhang21h.html
arXivhttps://arxiv.org/abs/2011.07365
Paperhttps://papers.nips.cc/paper/2020/hash/a5481cd6d7517aa3fc6476dc7d9019ab-Abstract.html
arXivhttps://arxiv.org/abs/2010.04875
Codehttps://github.com/lindermanlab/PPSeq.jl
Paperhttps://papers.nips.cc/paper/2020/hash/aa1f5f73327ba40d47ebce155e785aaf-Abstract.html
bioRxivhttps://www.biorxiv.org/content/10.1101/2020.10.21.349282v1
Codehttps://github.com/lindermanlab/ssm/blob/master/notebooks/Multi-Population-rSLDS.ipynb
Paperhttps://academic.oup.com/biostatistics/advance-article-abstract/doi/10.1093/biostatistics/kxaa047/6071379
arXivhttps://arxiv.org/abs/1812.05691
Paperhttp://proceedings.mlr.press/v119/zoltowski20a.html
arXivhttps://arxiv.org/abs/2001.04571
Codehttps://github.com/davidzoltowski/ssmdm
Paperhttps://www.sciencedirect.com/science/article/abs/pii/S0960982219314654
bioRxivhttps://www.biorxiv.org/content/10.1101/672246v1
Paperhttps://papers.nips.cc/paper/9206-scalable-bayesian-inference-of-dendritic-voltage-via-spatiotemporal-recurrent-state-space-models
Codehttps://github.com/SunRuoxi/Voltage_Smoothing_with_rSLDS
Paperhttps://papers.nips.cc/paper/8755-mutually-regressive-point-processes
Codehttps://github.com/ifiaposto/Mutually-Regressive-Point-Processes
Paperhttps://papers.nips.cc/paper/8366-poisson-randomized-gamma-dynamical-systems
arXivhttps://arxiv.org/abs/1910.12991
Codehttps://github.com/aschein/prgds
Paperhttps://papers.nips.cc/paper/9701-behavenet-nonlinear-embedding-and-bayesian-neural-decoding-of-behavioral-videos
Codehttps://github.com/ebatty/behavenet
bioRxivhttps://www.biorxiv.org/content/early/2019/04/29/621540.full.pdf
Paperhttps://openreview.net/forum?id=HkzRQhR9YX
arXivhttps://arxiv.org/abs/1811.12386
Paperhttps://papers.nips.cc/paper/8289-point-process-latent-variable-models-of-larval-zebrafish-behavior
Codehttps://github.com/as4529/pplvm
Paperhttps://www.cell.com/cell/fulltext/S0092-8674(18)30512-9
Paperhttps://openreview.net/forum?id=Byt3oJ-0W
Codehttps://github.com/google/gumbel_sinkhorn
Paperhttp://proceedings.mlr.press/v84/linderman18a/linderman18a.pdf
arXivhttps://arxiv.org/abs/1710.09508
Paperhttp://proceedings.mlr.press/v84/naesseth18a/naesseth18a.pdf
arXivhttps://arxiv.org/abs/1705.11140
Paperhttps://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnx3d25pcDIwMTd8Z3g6NzI5M2EyMTZjZDEzZTE2Mw
Paperhttps://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnx3d25pcDIwMTd8Z3g6NDEyYmY3MWE5OGEyMWU3Yg
Paperhttps://ieeexplore.ieee.org/abstract/document/8313132/
Paperhttp://www.tandfonline.com/doi/full/10.1080/01621459.2017.1388244
Codehttps://github.com/blei-lab/factorial-network-models
Paperhttp://www.sciencedirect.com/science/article/pii/S0959438816302641?via%3Dihub
bioRxivhttp://www.biorxiv.org/content/early/2017/01/31/104737
Codehttps://github.com/slinderman/tdlds
Paperhttp://proceedings.mlr.press/v54/linderman17a/linderman17a.pdf
Slideshttps://www.dropbox.com/s/jsj95lp2rxpdk4h/broad-04-12-17.pdf
Talkhttps://www.youtube.com/watch?v=5RA-TMwdpbw&list=PLlMMtlgw6qNjROoMNTBQjAcdx53kV50cS
Codehttps://github.com/slinderman/recurrent-slds
Paperhttp://proceedings.mlr.press/v54/naesseth17a/naesseth17a.pdf
Blog Posthttps://casmls.github.io/general/2017/04/25/rsvi.html
Codehttps://github.com/blei-lab/ars-reparameterization
Paperhttp://ieeexplore.ieee.org/document/7738867/
Codehttps://github.com/slinderman/pyhsmm_spiketrains
Paperhttp://jmlr.org/papers/v17/15-431.html
Paperhttps://papers.nips.cc/paper/6185-bayesian-latent-structure-discovery-from-multi-neuron-recordings.pdf
Codehttps://github.com/slinderman/pyglm
Thesishttps://dash.harvard.edu/handle/1/33493391
Codehttps://github.com/slinderman/thesis
Paperhttp://www.sciencedirect.com/science/article/pii/S0165027016000418
Codehttps://github.com/slinderman/pyhsmm_spiketrains
Paperhttp://papers.nips.cc/paper/5660-dependent-multinomial-models-made-easy-stick-breaking-with-the-polya-gamma-augmentation
arXivhttp://arxiv.org/abs/1506.05843
Codehttps://github.com/hips/pgmult
arXivhttps://arxiv.org/abs/1507.03228
Codehttps://github.com/slinderman/pyhawkes
Paperhttp://papers.nips.cc/paper/5274-a-framework-for-studying-synaptic-plasticity-with-neural-spike-train-data
arXivhttp://arxiv.org/abs/1411.4077
Paperhttps://cbmm.mit.edu/publications/abstracts-2014-brains-minds-and-machines-summer-school
Paperhttps://proceedings.mlr.press/v32/linderman14.html
arXivhttp://arxiv.org/abs/1402.0914
Talkhttp://techtalks.tv/talks/discovering-latent-network-structure-in-point-process-data/60859/
Codehttps://github.com/slinderman/pyhawkes
Paperhttp://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=08eeb24b-e182-4bb9-abc7-14e25e2b17a0&cKey=9cda1734-c886-4ce5-811a-b062bd7b414b&mKey=%7b54C85D94-6D69-4B09-AFAA-502C0E680CA7%7d
HTML5 UPhttp://html5up.net

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URLs of crawlers that visited me.