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yuanqidu · Nov 8, 2023 · d78c661 · d78c661
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 Recent Talks and Lectures:
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-* Recent Advances of Machine Learning in Molecular Discovery: From Representation, Simulation to Inverse Design, @Cornell AI for Science (CS 6703), @Cornell Deep Learning (SYSEN 6888), Nov 2023.
+* Recent Advances of Machine Learning in Molecular Discovery: From Representation, Simulation to Inverse Design, @Cornell Deep Learning (SYSEN 6888), Nov 2023.
 * Scientific Discovery in the era of Artificial Intelligence, @School of Integrative Plant Science, Cornell, Sep 2023.
-* [A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks](https://m2d2.io/talks/logg/a-new-perspective-on-building-efficient-and-expressive-3d-equivariant-graph-neural-networks/), @LoGG Reading Group, May 2023, @TAGML-ICML, July 2023.
+* [A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks](https://m2d2.io/talks/logg/a-new-perspective-on-building-efficient-and-expressive-3d-equivariant-graph-neural-networks/), @LoGG Reading Group, May 2023, Oral Presentation @TAGML-ICML, July 2023.
 * [Path Integral Stochastic Optimal Control for Sampling Transition Paths](https://m2d2.io/talks/logg/path-integral-stochastic-optimal-control-for-sampling-transition-paths/), @LoGG Reading Group, Apr 2023 (by my amazing collaborator Lars).
 * Machine Learning for Molecular Discovery: From One Distribution to Two, @DP Technology, Feb 2023.
 * Structure-based Drug Design with Equivariant Diffusion Models, @Department of Computational Biology, Cornell, Nov 2022.
 * Accelerating Scientific Discovery with Artificial Intelligence, @Department of Computer Science, Grad Seminar, Cornell, Oct 2022.
-* Disentangled Spatiotemporal Graph Generative Models, @AAAI, Feb 2022.
-* Towards Steerable and Interpretable Chemical Space Exploration, @ML4Molecules, Dec 2021.
+* Disentangled Spatiotemporal Graph Generative Models, Oral Presentation @AAAI, Feb 2022.
+* Towards Steerable and Interpretable Chemical Space Exploration, Oral Presentation @ML4Molecules, Dec 2021.