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adding neurips papers
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_layouts/bib.html

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{% if entry.biorxiv %}
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<a href="{{ entry.biorxiv }}">bioRxiv</a>
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{% endif %}
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{% if entry.psyarxiv %}
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<a href="{{ entry.psyarxiv }}">PsyArXiv</a>
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{% endif %}
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{% if entry.poster %}
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<a href="{{ entry.poster }}">Poster</a>
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{% endif %}

cv/cv.bib

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@misc{beller2025multimodal,
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title={Multimodal inference through mental simulation},
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url={https://osf.io/preprints/psyarxiv/x2tj9_v1},
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psyarxiv={https://osf.io/preprints/psyarxiv/x2tj9_v1},
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DOI={10.31234/osf.io/x2tj9_v1},
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publisher={PsyArXiv},
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author={Beller, Ari and Xu, Yingchen and Siegel, Max H and Grant, Satchel and Brown, Alan S and Fränken, Jan-Philipp and Tenenbaum, Joshua and Linderman, Scott W and Gerstenberg, Tobias},
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year={2025},
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month={Sep}
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}
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@article{nair2025representation,
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title={The representation of affective internal states in the hypothalamus: a neural manifold view},
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author={Nair, Aditya and Linderman, Scott W. and Anderson, David J.},
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year={2025},
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journal={},
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}
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@article{xiao2025concerted,
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author = {Xiao, Shuyun Alina and Chen, Che Cherry and Horvath, Patricia and Tsai, Valerie and Cardenas, Vibiana Marie and Biderman, Dan and Deng, Fei and Li, Yulong and Linderman, Scott W. and Dulac, Catherine and Luo, Liqun},
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doi = {10.1101/2025.07.31.667987},
@@ -26,7 +44,7 @@ @article{bukwich2025competitive
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@article{tanoh2025identifying,
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title={Identifying multi-compartment {H}odgkin-{H}uxley models with high-density extracellular voltage recordings},
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author={Ian Christopher Tanoh and Michael Deistler and Jakob H. Macke and Scott W. Linderman},
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journal={arXiv preprint arXiv:2506.20233},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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year={2025},
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arxiv={https://arxiv.org/abs/2506.20233},
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}
@@ -35,21 +53,21 @@ @article{gonzalez2025predictability
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title={Predictability Enables Parallelization of Nonlinear State Space Models},
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author={Xavier Gonzalez and Leo Kozachkov and David M. Zoltowski and Kenneth L. Clarkson and Scott W. Linderman},
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year={2025},
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journal={arXiv preprint arXiv:2508.16817},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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arxiv={https://arxiv.org/abs/2508.16817},
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}
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@article{lee2025stiefel,
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title={Stiefel Manifold Dynamical Systems for Tracking Representational Drift},
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author={Hyun Dong Lee and Aditi Jha and Stephen E. Clarke and Michael P. Silvernagel and Paul Nuyujukian and Scott W. Linderman},
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journal={(under review)},
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comment={(Under review)},
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year={2025},
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}
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@article{hu2025sing,
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title={{SING}: {SDE} Inference via Natural Gradients},
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author={Amber Hu* and Henry Smith* and Scott W. Linderman},
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journal={arXiv preprint arxiv:2506.17796},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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year={2025},
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arxiv={https://arxiv.org/abs/2506.17796},
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code={https://github.com/lindermanlab/sing}
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title={Parallelizing {MCMC} Across the Sequence Length},
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author={David M. Zoltowski and Skyler Wu and Xavier Gonzalez and Leo Kozachkov and Scott W. Linderman},
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year={2025},
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journal={arXiv preprint arXiv:2508.18413},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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arxiv={https://arxiv.org/abs/2508.18413},
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code={https://github.com/lindermanlab/parallel-mcmc}
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}
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@article{saadfalcon2025weaver,
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title={Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification},
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author={Jon Saad-Falcon* and E. Kelly Buchanan* and Mayee F Chen* and Tzu-Heng Huang and Brendan McLaughlin and Tanvir Bhathal and Shang Zhu and Ben Athiwaratkun and Frederic Sala and Scott W. Linderman and Azalia Mirhoseini and Christopher Re},
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journal={arXiv preprint 2506.18203},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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year={2025},
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arxiv={https://arxiv.org/abs/2506.18203},
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}
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@article{jiang2025extracting,
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title={Extracting task-relevant preserved dynamics from contrastive aligned neural recordings},
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author={Yiqi Jiang and Kaiwen Sheng and Yujia Gao and E. Kelly Buchanan and Yu Shikano and Seung Je Woo and Yixiu Zhao and Tony Hyun Kim and Fatih Dinc and Scott W. Linderman and Mark Schnitzer},
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journal={(under review)},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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year={2025},
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}
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@article{zhao2025informed,
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title={Informed Correctors for Discrete Diffusion Models},
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author={Yixiu Zhao and Jiaxin Shi and Feng Chen and Shaul Druckmann and Lester Mackey and Scott W. Linderman},
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journal={arXiv preprint arxiv:2407.21243},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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year={2025},
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arxiv={https://arxiv.org/abs/2407.21243},
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}
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@article{nair2025perspective,
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title={The neural computation of affective internal states in the hypothalamus: a dynamical systems perspective},
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author={Aditya Nair and Amit Vinograd and Mengyu Liu and George Mountoufaris and Scott W. Linderman and David J. Anderson},
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comment={(under review)},
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comment={(Under review at Neuron)},
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year={2025},
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}
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@article{weinreb2025spontaneous,
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title={Spontaneous behavior is a succession of self-directed tasks},
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author={Caleb Weinreb and Lakshanyaa Thamarai Kannan and Alia Newman-Boulle and Winthrop F. Gillis and Alex Plotnikoff and Sofia Makowska and Jonah E. Pearl and Mohammed Abdal Monium Osman and Scott W. Linderman and Sandeep Robert Datta},
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comment={(under review)},
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comment={(Under review at Neuron)},
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year={2025},
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}
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@article{levy2025natural,
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title={Natural behavior embodies a continuous aging clock},
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author={Dana Levy and Winthrop Gillis and Caleb Weinreb and Minhua Mei and David Brann and Nigel Hunter and JKayla Anthis Rockwell Anyoha and Scott W. Linderman and Sandeep Robert Datta},
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comment={(under review)},
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year={2025}
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}
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@article{willett2024brain,
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title={Brain-to-Text Benchmark'24: Lessons Learned},
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author={Willett, Francis R and Li, Jingyuan and Le, Trung and Fan, Chaofei and Chen, Mingfei and Shlizerman, Eli and Chen, Yue and Zheng, Xin and Okubo, Tatsuo S and Benster, Tyler and Lee, Hyun Dong and Kounga, Maxwell and Buchanan, E. Kelly and Zoltowski, David and Linderman, Scott W and Henderson, Jaimie M},
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journal={arXiv preprint arXiv:2412.17227},
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author={Francis R. Willett and Jingyuan Li and Trung Le and Chaofei Fan and Mingfei Chen and Eli Shlizerman and Yue Chen and Xin Zheng and Tatsuo S. Okubo and Tyler Benster and Hyun Dong Lee and Maxwell Kounga and E. Kelly Buchanan and David M. Zoltowski and Scott W. Linderman and Jaimie M. Henderson},
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title={Brain-to-Text Benchmark '24: Lessons Learned},
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year={2024},
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arxiv={https://arxiv.org/abs/2412.17227}
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journal={CoRR},
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arxiv={https://arxiv.org/abs/2412.17227}
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}
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@article{kendrick2024transcriptomically,
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}
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@article{bedbrook2024lifelong,
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@article{bedbrook2025lifelong,
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title={Life-long behavioral monitoring reveals dynamics that forecast lifespan and discrete transitions defining an architecture of aging},
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author={Bedbrook, Claire and Nath, Ravi and Zhang, Elizabeth and Linderman, Scott W. and Brunet, Anne and Deisseroth, Karl},
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year={2024},
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year={2025},
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comment={(Under review.)}
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}
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@@ -432,7 +443,6 @@ @inproceedings{beller2022looking
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author={Beller, Ari and Xu, Yingchen and Linderman, Scott W and Gerstenberg, Tobias},
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booktitle={Proceedings of the Annual Meeting of the Cognitive Science Society},
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volume={44},
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number={44},
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year={2022},
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arxiv={psyarxiv.com/h2r8d},
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link={https://escholarship.org/content/qt7gk617ss/qt7gk617ss.pdf},

cv/cv.pdf

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cv/cv.tex

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{\small\scshape Preprints and Manuscripts Under Review}
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\begin{outerlist}
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\item \bibentry{xiao2025concerted}.
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\item \bibentry{gonzalez2025predictability}.
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\item \bibentry{lee2025stiefel}.
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\item \bibentry{hu2025sing}.
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\item \bibentry{zoltowski2025parallelizing}.
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\item \bibentry{saadfalcon2025weaver}.
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\item \bibentry{tanoh2025identifying}.
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\item \bibentry{jiang2025extracting}.
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\item \bibentry{zhao2025informed}.
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\item \bibentry{linderman2025bayesian}.
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\item \bibentry{versteeg2025computation}.
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\item \bibentry{nair2025perspective}.
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\item \bibentry{weinreb2025spontaneous}.
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\item \bibentry{levy2025natural}.
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\item \bibentry{willett2024brain}.
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\item \bibentry{bedbrook2024lifelong}.
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\item \bibentry{friedmann2024concerted}.
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\item \bibentry{beller2025multimodal}. \textit{Under review at Nature Human Behavior}.
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\item \bibentry{nair2025representation}. \textit{Under review at Annual Reviews of Neuroscience}.
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\item \bibentry{xiao2025concerted}. \textit{Under review at Nature.}
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\item \bibentry{gonzalez2025predictability}. \textit{Under review at NeurIPS.}
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\item \bibentry{lee2025stiefel}. \textit{Under review at NeurIPS.}
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\item \bibentry{hu2025sing}. \textit{Under review at NeurIPS.}
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\item \bibentry{zoltowski2025parallelizing}. \textit{Under review at NeurIPS.}
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\item \bibentry{saadfalcon2025weaver}. \textit{Under review at NeurIPS.}
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\item \bibentry{tanoh2025identifying}. \textit{Under review at NeurIPS.}
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\item \bibentry{jiang2025extracting}. \textit{Under review at NeurIPS.}
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\item \bibentry{zhao2025informed}. \textit{Under review at NeurIPS.}
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\item \bibentry{linderman2025bayesian}. \textit{Under review at TMLR.}
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\item \bibentry{versteeg2025computation}. \textit{Under review at PLoS CB.}
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\item \bibentry{nair2025perspective}. \textit{Under review at Neuron.}
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\item \bibentry{weinreb2025spontaneous}. \textit{In revision at Neuron.}
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% \item \bibentry{levy2025natural}.
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\item \bibentry{bedbrook2025lifelong}. \textit{In second revision at Science.}
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\item \bibentry{friedmann2024concerted}. \textit{In revision at Nature Neuroscience.}
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\item \bibentry{kendrick2024transcriptomically}.
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\end{outerlist}
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\item \bibentry{vloeberghs2025bayesian}.
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\item \bibentry{narayan2025minions}.
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\item \bibentry{linderman2025dynamax}.
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\item \bibentry{willett2024brain}.
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\item \bibentry{hu2024modeling}.
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\item \bibentry{costacurta2024structured}.
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\item \bibentry{gonzalez2024towards}.
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\item Jakub Sm\'{e}kal, Graduate Student, Stanford Applied Physics \hfill {\small 2024-present}
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\item Henry Smith, Graduate Student, Stanford Statistics \hfill {\small 2024-present}
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\item Henry Smith, Graduate Student, Stanford Statistics \hfill {\small 2024-present}\\
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\textit{Co-advised with Prof. Brian Trippe}
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\item Jimmy Smith, Graduate Student, Stanford ICME \hfill {\small 2019-2024}
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\\
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\item \textbf{Summer School Organization and Teaching:} \\
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Allen Institute Summer Workshop on the Dynamic Brain, Lecturer. \hfill{\small 2021-2024}\\
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Woods Hole Methods in Computational Neuroscience Course, Lecturer. \hfill{\small 2024}\\
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Woods Hole Methods in Computational Neuroscience Course, Lecturer. \hfill{\small 2024-25}\\
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Neuromatch Academy, Executive Committee (Co-Chair of Projects). \hfill{\small 2022-23} \\
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JAX Short Course on Machine Learning for Quantifying Behavior, Lecturer. \hfill {\small 2022-24}\\
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\section{Selected Talks}
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\begin{outerlist}
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\item Neuroscience Theory Center, Columbia University. January 23, 2026.
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\item Redwood Center for Theoretical Neuroscience, UC Berkeley. November 12, 2025.
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\item Wharton Statistics Seminar, University of Pennsylvania. October 15, 2025.
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\item Statistics Department, Duke University. September 19, 2025.
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\item Neurobiology Department, Duke University. September 16, 2025.
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\item Princeton Neuroscience Institute, Princeton University. October 24, 2024.
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\item Jackson Laboratory. October 18, 2024.
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\item Kempner Institute, Harvard University. October 11, 2024
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\item Cosyne Workshop on Generative Models for Neural/Behavioral Data Analysis. March 14, 2023.
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\item Machine Learning Seminar, Memorial Sloan-Kettering Cancer Center. December 6, 2022.
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\item NeuroTheory Seminar, Columbia University. December 5, 2022.
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\item Gaze Meets ML Workshop, NeurIPS. December 3, 2022.
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%\item Gaze Meets ML Workshop, NeurIPS. December 3, 2022.
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\item Neuroscience Seminar, UCSD. September 27, 2022.
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\item Neuroscience Semianr, University of Chicago. October 25, 2022.
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\item Short Course on Machine Learning Methods for Quantifying Behavior, JAX Laboratories. October 12, 2022.
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\item Neuroscience Seminar, University of Chicago. October 25, 2022.
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%\item Short Course on Machine Learning Methods for Quantifying Behavior, JAX Laboratories. October 12, 2022.
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\item Joint Statistics Meeting (JSM), Contributed Talk. August 1, 2022.
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\item International Society for Bayesian Analysis, Contributed Talk. July 1, 2022.
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\item Stanford-Berkeley Joint Statistics Colloquium, UC Berkeley. April 19, 2022.
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\item Statistics Seminar, University of California, Los Angeles. March 4, 2021.
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\item Statistics Seminar, University of British Columbia. November 3, 2020.
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\item Biostatistics Seminar, Duke University. October 23, 2020.
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\item Online Workshop on Linking Behavior and Neural Dynamics, LMU M\"{u}nchen. October 16, 2020.
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%\item Online Workshop on Linking Behavior and Neural Dynamics, LMU M\"{u}nchen. October 16, 2020.
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\item Mind, Brain, Computation, and Technology Seminar, Stanford University. October 12, 2020.
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\item Bernstein Workshop on Inferring and Testing Optimality in Perception and Neurons. September 29, 2020.
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\item SIAM Minisymposium on Machine Learning and Control Theory for Whole Brain Activity. June 26, 2020.
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%\item Bernstein Workshop on Inferring and Testing Optimality in Perception and Neurons. September 29, 2020.
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%\item SIAM Minisymposium on Machine Learning and Control Theory for Whole Brain Activity. June 26, 2020.
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\item ML Tea, Gatsby Computational Unit, University College London. April 24, 2020.
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\item Statistics Seminar, University of California, Davis. April 23, 2020.
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\item Cosyne Workshop on Interpretable Computational Neuroscience. March 1, 2020.
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\item Information Systems Laboratory (ISL) Colloquium, Stanford University. February 13, 2020.
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%\item Information Systems Laboratory (ISL) Colloquium, Stanford University. February 13, 2020.
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\item Chan Zuckerberg Institute. January 31, 2020.
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\item Google Brain. January 22, 2020.
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\item Institute of Neuroscience Seminar. University of Oregon. November 21, 2019.
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\item Allen Institute for Brain Science. Seattle, WA. November 12, 2019.
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\item Biostatistics Workshop. Stanford University. October 24, 2019.
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\item Society for Neuroscience Virtual Conference on Machine Learning in Neuroscience. June 26,, 2019.
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%\item Society for Neuroscience Virtual Conference on Machine Learning in Neuroscience. June 26,, 2019.
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% \item Harvard University. April 12, 2019.
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\item Cosyne Workshop on Social Behavior. Lisbon, Portugal. March 5, 2019.
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\item Cosyne Workshop on Data, dynamics, and computation: Using data driven methods to ground mechanistic theory. Lisbon, Portugal. March 4, 2019.
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\item Theoretical and Computational Neuroscience Annual Conference, Gulf Coast Consortium. February 1, 2019.
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%\item Theoretical and Computational Neuroscience Annual Conference, Gulf Coast Consortium. February 1, 2019.
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\item NeuroNex Workshop, Rice and Baylor University. January 31, 2019.
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\item Applied Math Seminar, Yale University. January 29, 2019.
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\item Artificial Intelligence Seminar, Cornell University. September 28, 2018.
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\item Center for Neuroengineering and Computation Seminar, Columbia University. September 24, 2018.
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\item Simons Collaboration on the Global Brain, New York Area Postdoc Meeting. September 20, 2018.
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\item Air Force Research Laboratory, Rome, NY. August 27, 2018.
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\item IACS Seminar, Stony Brook University. July 13, 2018.
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\item Simons Workshop on Manifold Discovery. April 6, 2018.
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%\item Simons Workshop on Manifold Discovery. April 6, 2018.
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\item Statistics Department, Stanford University. April 5, 2018.
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\item Allen Institute for Brain Science. March 28, 2018.
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\item Paul Allen School of Computer Science and Engineering, University of Washington. March 26, 2018.

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