ITS.ML

#IntelligenteTechnischeSysteme der nächsten Generation durch #MaschinellesLernen. #Entwicklung zentraler #ML #Innovationen - nachhaltig und @BMBF_Bund gefördert

[Tim Miller @tmiller_uq]

Andre Artelt applied DataSHAP to investigate the effect of training data samples on explanation. A paper with lovely theory and a nice case study using this to investigate group fairness. Interesting results.

[Hammer Lab ML (inactive) @HammerLabML]

🎉Exciting News! Our own André Artelt & his @WaterFuturesERC colleagues just won the Best Poster 🏆 at the '#AI for Critical Infrastructure Workshop' @IJCAIconf, presenting the EPyT-Flow Toolbox!🧰
📜➡️https://t.co/ndAnRBpRd3
🧑‍💻➡️@GitHub: https://t.co/FHIJFOkLhj
Congratulations!

[Hammer Lab ML (inactive) @HammerLabML]

@IJCAIconf, the #XAI tutorial by our own André Artelt and @DrUlrikeKuhl, together with @keanema, is in session! It started with a history of counterfactuals in psychology and first basics of user studies, followed by computational foundations of computing counterfactuals.

[Hammer Lab ML (inactive) @HammerLabML]

It’s a wrap on the tutorial on #counterfactuals and user studies for #XAI @IJCAIconf. Anyone who’s curious: The materials (slides and code) are available @github: https://t.co/BN9uPkOtz1
For more info about the general program, visit https://t.co/oQ7zaZjVSv

[Dr. Ulrike Kuhl @DrUlrikeKuhl]

@IJCAIconf I‘ve had a great time presenting the basics of how to run effective user studies to explore the usability of XAI! Anyone who’s curious: The materials (slides and code) are available @github: https://t.co/MU6BO5JKvM

✨Thanks to everyone attending this full day program! ✨

[IJCAIconf @IJCAIconf]

#Tutorial At the T06: All You Ever Need to Know About Counterfactual Explanations: Fundamentals, Methods, & User Studies for XAI, with Ulrike Kuhl @DrUlrikeKuhl on the speaker's podium.

https://t.co/TIXZB4VBGV

#IJCAI2024

[SAIL Research Network @SAIL_network]

June 20 at 4:15pm, we welcome Nicole Ludwig to our lecture series "Robust AI" @unibielefeld.👏 Come along or join us online when she talks about "Assessing Climate Change Impacts: An ML Approach to Multi-Decadal Energy Forecasting".👩‍💻👍
➡️More info here: https://t.co/zxlpUZiGuO

[Hammer Lab ML (inactive) @HammerLabML]

#TrustworthyAI fans in and around #NRW:
📢Free in-person registration is still open!

Expect exciting keynote talks by great experts, panels, posters, and networking opportunities at
🥷DataNinja sAIOnARA 2024 Conference
📅June 25-27
📍Bielefeld

Details:
https://t.co/I6XrzUEfMs

[Hammer Lab ML (inactive) @HammerLabML]

Please retweet🤓
We are organizing a special session on "Machine Learning in Critical Infrastructure" at @IEEEorg WCCI-2024 in Yokohama, Japan🇯🇵 Deadline📅 15.01.2024
Details: https://t.co/M6VpCdi9nJ
#WCCI2024 #IEEE #AI

[SAIL Research Network @SAIL_network]

📢Call for Papers! "Explainable Online Learning from Uncertain Data Streams" will be a Special Session @eais2024 in Madrid. Co-organized by SAIL member Daniel Leite, we would like to draw your attention to the CFP below.✍️🧑‍💼
➡️More information here: https://t.co/TcvAjSe15t

[TRR 318 Constructing Explainability @trr_318]

Researchers @FumagalliFabian and @Muschalik_Max from our subproject C03 will be attending @NeurIPSConf 2023 in #NewOrleans from December 10-16 . It’s the 36th onference on Neural Information Processing Systems.

They'll be presenting a poster. See Fabian's thoughts 👀⬇

[Hammer Lab ML (inactive) @HammerLabML]

Approx. one month left📅 to submit your work to WSOM+ 2024👇 hosted in beautiful Mittweida @hsmw
https://t.co/qkqDEpeCvL

[Hammer Lab ML (inactive) @HammerLabML]

We are at @ieeecis #SSCI 😃
This Thursday (December 7th) at 1:30 pm📅, André Artelt is going to present joint work with @kmalialis from @KIOSCoE @UCYOfficial on "Unsupervised Unlearning of Concept Drift with Autoencoders"👇
https://t.co/X4CZ7XFdG8
#MachineLearning

[TRR 318 Constructing Explainability @trr_318]

📢Open #PhD position in @_davidsjohnson_'s new research group on "Human-Centric #Explainable #AI for Mental Health Assessment".

🔽🔽🔽

[Artificial Intelligence and Machine Learning @ LMU @AIML_LMU]

🔥New @XAI_Research to be presented @NeurIPSConf #NeurIPS2023: We propose SHAP-IQ as a unified approximation of any-order Shapley Interactions!
📖Paper link: https://t.co/TvF1LQl84s
⚡️The highlights are in the🧵(1/5)!

[SAIL Research Network @SAIL_network]

📢Reminder 👉 Upcoming Event: This week the hybrid workshop "Fundamental Limits of Large Language Models" will take place.🤩

See https://t.co/l96DJpgjgW for further information.

[SAIL Research Network @SAIL_network]

📢SAIL event coming up: On Nov 23, a hybrid workshop on "Fundamental Limits of #LargeLanguageModels" will take place. The program will contain a series of invited talks by esteemed researchers around the world.🤩👏
➡️Further information & registration: https://t.co/l96DJpgjgW

[Dr. Ulrike Kuhl @DrUlrikeKuhl]

Official version out now: Our #xAI23 paper "For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior" published @SpringerNature's CCIS series! Check it out (fully #OpenAccess, of course 😉): https://t.co/zwsAn6MxcL

... or dive into the 🧵👇

[Hammer Lab ML (inactive) @HammerLabML]

Great news🥳
Joint work of André Artelt from @tf_unibielefeld @unibielefeld and @kmalialis from @KIOSCoE @UCYOfficial on "Unsupervised Unlearning of Concept Drift with Autoencoders" got accepted at @ieeecis #SSCI
Check out the preprint👇
https://t.co/wflbnlvUpf
#MachineLearning

[Hammer Lab ML (inactive) @HammerLabML]

Pack up, it‘s a retreat! 🚌 Over the next 3 days, the DataNinja 🥷 research training group meets up to discuss cutting-edge #MachineLearning research promoting #TrustworthyAI for seamless problem solving.
Research powered by @MKW_NRW. Learn more here: https://t.co/SmSMlq04Qj