UH Manoa Weekly AI Seminar
SUBSCRIBE AI-SEMINAR firstname lastname
2024-10-18: Hopfield Networks is All You Need Ramsauer, et al. 2020 (presented by Peter)
2024-10-11: Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport He, et al. 2020 (presented by Kevin Egan)
2024-10-04: TALK: Karthika Mohan, Oregon State University, Causal Inference with Missing Data: Missingness Graphs, Recoverability and Testability (register here)
2024-09-27: Pygmalion Displacement: When Humanising AI Dehumanises Women, Erscoi, et al. (presented by Arianna)
2024-09-20: Classic paper: Generative Adversarial Nets, Goodfellow, et al. 2014 (presented by Zain)
2024-09-13: Stochastic Neural Network Symmetrisation in Markov Categories, Cornish (presented by Mitchell)
2024-09-06: SAM 2: Segment Anything in Images and Videos website, Ravi, et al. (presented by Joel)
2024-08-30: The Hidden Uniform Cluster Prior in Self-Supervised Learning, Assran, et al. (presented by Nick)
2024-08-27: SPECIAL IN-PERSON TALK (2pm in MSB 100): Michael Ito, University of Michigan
2024-08-23: No meeting scheduled.
Todo: Aurora: A Foundation Model of the Atmosphere
Site and paper ideas spreadsheet
2024-07-26: SPECIAL IN-PERSON TALK: Nikita Zhivotovskiy, Improving Risk Bounds with Unbounded Losses via Data-Dependent Priors.
2024-07-19: Generative Model by Estimating Gradients of the Data Distribution (presented by Yusuke Hatanaka)
2024-07-10: SPECIAL IN-PERSON TALK (11am in POST): Deva Ramanan, Perceiving and Understanding a Dynamic 3D World
2024-06-28: RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank (presented by Yannik Glaser)
2024-06-21: Transcendence: Generative Models Can Outperform The Experts That Train Them (presented by Mitchell Dennis)
2024-06-14: Ranks underlie outcome of combining classifiers: Quantitative roles for diversity and accuracy (presented by Arianna Bunnell)
2024-06-07: KL is All You Need (presented by Peter Sadowski)
2024-05-31: In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? (presented by Yash Lodha)
2024-04-19: Stitchable Neural Networks (Amila leads)
2024-04-12: A Mathematical Framework for Transformer Circuits (Levi leads)
2024-04-05: TALK: Dusko Pavlovic
2024-03-15: TALK: Andrey Popov
2024-03-08: Superintelligence
2024-03-01: UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction (Arianna leads)
2024-02-16: MLP-Mixer: An All-MLP Architecture for Vision (Yosub leads)
2024-02-09: Revisiting the Calibration of Modern Neural Networks (Nick leads)
2024-02-02: 3D Gaussian Splatting (also check out blog post here; Peter leads)
2024-01-26: Sources of Uncertainty in ML: A Statistician’s View (Arianna leads)