Ivan Brugere

AI Research Scientist @JPMorgan, PhD CS @uiccs in ML on networks/graphs, currently working in fairness and interpretability.

[Wenzhuo Tang @WenzhuoTang]

🙋‍♂️What is the wildest dream for graph foundation models?
🎯Graph across domains → a single model → all the downstream
🙋‍♀️Can we achieve that?
✅Yes! UniAug: Cross-Domain Graph Data Scaling with Diffusion Models
📃https://t.co/ofHT6Dus4C

[GaTech CSE @GTCSE]

Congratulations to CSE Ph.D. student Alex Rodriguez on his selection as a young researcher to the 9th Heidelberg Laureate Forum! Only 200 young researchers from around the world are selected to attend the forum in September!

https://t.co/Se4YG3IomS

[Vera Liao @QVeraLiao]

Sharing another survey and reflective paper from 2021: I wrote a book chapter with @krvarshney, in which we ask the question "what are human-centered approaches doing for explainable AI"

https://t.co/Qaqt03I1wi

(a short 🧵)

[AIhub @aihuborg]

Interview with Lily Xu – applying machine learning to the prevention of illegal wildlife poaching - https://t.co/381dr9aBv6

[Lav Varshney @lrvarshney]

New paper that @ivanbrugere and I contributed to on predicting COVID-19 diagnosis and hospitalization https://t.co/bmk7nOhQh4 as part of a DREAM Challenge @SFResearch @ECEILLINOIS @CSL_Illinois

[Ivan Brugere @ivanbrugere]

@disclosetv what went wrong when you have all the creative freedom in the world to create your own av, and you create a 12 year old Mark Zuckerberg?

[Petar Veličković @PetarV_93]

Looking for material to dive into geometric deep learning?

As part of the @AIMS_Next #AMMI2021, we (@mmbronstein @joanbruna @TacoCohen) have delivered a course on GDL, which closely follows our proto-book. We make all materials publicly available!

https://t.co/ZsBDVa82Cp

[The TWIML AI Podcast @twimlai]

Today we’re joined by @yuqirose, assistant professor at the @UCSDJacobs at @UCSanDiego to discuss her research on advancing ML algorithms for analyzing large scale time-series and spatiotemporal data.

🎧: Chartable Link https://t.co/OKmzz3VLKR
🎥: YT Link https://t.co/JSoZqTHH8o

[Evan Selinger @EvanSelinger]

The workplace hellscape of algorithmic injustice: punitive automated decisions that ignore context, lack of due process, predictable facial recognition fails, undue constant anxiety, and corporate apathy to mistreated workers perceived as expendable.
https://t.co/lgrGYvM4o6

[Jiahao Chen @NeurIPS @acidflask]

New preprint with my colleagues @jpmorgan AI Research including @tl_spooner!

We use Bayesian optimization to generate counterfactual explanations that work for both regression and classification models.

[Lav Varshney @lrvarshney]

Excited for Networked Justice symposium tomorrow morning where I'll be presenting on "Graph Augmentation for Equitable Access to Networked Resources" https://t.co/48Ywt9BIYe [joint work with @sachin_logs @ivanbrugere @CaimingXiong @SFResearch] @CSL_Illinois

[Michael Bronstein @mmbronstein]

4K version of my ICLR keynote on #geometricdeeplearning is now on YouTube:

https://t.co/evlEnDlX8E

Accompanying paper: https://t.co/LgeCCZMaqE

Blog post: https://t.co/U77kwqqt4t

[Alex Smola @smolix]

Check out my interview on TWIML about Applied AI Research at AWS with @samcharrington for the @twimlai podcast. https://t.co/Pahh5hpSat via @twimlai @awscloud

[Elena Zheleva @elenadata]

Excited to announce that our tutorial with @darbour26 on "Causal inference from network data" has been accepted as a lecture-style tutorial at #KDD2021. Stay tuned for more details: https://t.co/BqGsbLZn6p. @kdd_news

[Lav Varshney @lrvarshney]

I find this piece of our work on RL for redesigning physical or social infrastructure to increase equitable access for racial/gender groups to be super compelling: hope you too @sachin_logs @ivanbrugere @CaimingXiong @SFResearch @CSL_Illinois @ECEILLINOIS https://t.co/EO2hkEtC7c

[Ivan Brugere @ivanbrugere]

@vagelispapalex @UCR_CSE @UCRBCOE @UCRiverside Congratulations!

[Ivan Brugere @ivanbrugere]

very creative work and a great example of what interdisciplinary research should look like

[Tim Althoff @timalthoff]

You can now find all the papers, code, data, slides and talk videos on our work on measuring and giving feedback on expressed empathy here:

https://t.co/2UmZfRHuLX

Big thanks to @TalkLifeApp and @MSFTResearch that made all this possible! @TheWebConf #WWW2021

[Jesse Vig @jesse_vig]

At #ICLR2021 we will present the *updated* “BERTology🔤meets Biology🧬: Interpreting Attention in Protein Language Models": https://t.co/ZrHs8UoaBr

Trained only w/ language modeling, the Transformer's attention mechanism recovers folding structure & other protein properties. 1/N

[Jiahao Chen @NeurIPS @acidflask]

This week I will be speaking:

- Tuesday 4/26 4pm PDT at @UCLA CS 201 on Fairness in Financial Services (thanks to @QuanquanGu) https://t.co/AVq3mc0Wg2

- Thursday 4/28 5.30 pm EDT at @JPMorgan Tech for Social Good LGBTQ+ recruiting https://t.co/AQtiq3BNwQ

[The Web Conference @TheWebConf]

Watch live at https://t.co/zyyhvYvizO #TheWebConf 2021 evening keynotes for Tuesday, April 21 are Yejin Choi from University of Washington and Estevam Hruschka from Megagon Labs #WWW21 @marko_grobelnik