Am at #NeurIPS2023 -PM or catch me! Looking to hire PhD/postdocs in Fall 24. Areas: - Spatio-temporal ML: UQ, interpretability, zero/few shot and causal learning - AI for health: decision making, multimodal data, AI for simulations, graph models @gtcomputing @mlatgt @GTCSE

🚀 Worried about faculty openings? Ohio State @OhioState is to hire 100 new faculty with AI expertise over the next five years! 🤖🎓 The new hires will join one of three AI Faculty Cohorts: 🧠 Foundational AI — Elevating the theoretical, mathematical, and algorithmic

Another week, another conference! CSE students and faculty are in Albuquerque presenting #NLProc research at @naacl! The GT @ #NAACL website is your one-stop shop for everything you need to know about our teams and their research! 🔗 https://t.co/o8Lwy7pcDv

Wow…no….

CSE's B. Aditya Prakash, Chao Zhang, and Xiuwei Zhang are among the 1⃣6⃣ #GTComputing faculty awarded promotion and tenure this year! Be sure to check out the full list in the story 👇, and join us in congratulating all our esteemed colleagues!🥳🎉 https://t.co/dZOKZKNrQ3

Congrats to @SanghaniCtrVT @VT_CS alum Bijaya Adhikari, assistant professor @UIowaCS, on receiving @NSF CAREER award to design scalable online algorithms to enable real-time interventions to mitigate healthcare-associated infections.

Samay foundational model: https://t.co/KrfteQrLxw Time MMD lib and dataset: GitHub: https://t.co/jok20aFr8v @GTCSE @mlatgt

Am @NeurIPSConf this week. Love to connect+chat on time-series models, multimodality, UQ etc. Papers: 1. Novel data+compute efficient Foundational Time Series Models: Dec 12, 11-2. 2. Time+Text Multimodality: Dec 13, 430-730. Also hiring students/postdocs! @Harsha_64 @HessianLiu

Next week marks the start of @NeurIPSConf, where #AI breakthroughs and research experts will take center stage. @GeorgiaTech has 84 teams and 46 faculty experts—half from GT Computing—and will show its leading contributions to a global audience. Explore the complete set of Tech

CSE experts are presenting 18 papers this year at @NeurIPSConf, a testament to the importance of #AI research toward finding new discoveries in science and engineering! Check us out at: https://t.co/JEPbCJvAHt #NeurIPS2024 #NeurIPS #TogetherWeSwarm #WeCanDoThat

Very excited and grateful to receive an ERC Consolidator grant #ERCCoG on Counterfactuals in Minds and Machines! Are you interested in a postdoc or Ph.D. at @mpi_sws_? Please get in touch by email @ERC_Research @maxplanckpress

🎉The coolest #CSE school in the world is hiring multiple faculty members! Application link below👇

🪃 I'm on the academic job market! I study digital applications for work, focusing on mental well-being + social dynamics. My work merges AI, sensing, informatics, and organizational science to help workers work differently. Pls bump and keep an eye out:

Awesome, many congratulations @_arodriguezca on the award - very well deserved! 🙌 🎉 🎊 And nice pic :-) #proudadvisor cc @gtcomputing @GTCSE @vsarkar_gt @mlatgt

Our work "Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity" on large-scale industrial demand forecasting using hierarchical time-series will be presented at #KDD2024. Oral: August 27, 11:00-1:00 Room 119 Poster: August 26, 7:30 - 9:30 PM

#KDD2024 is just around the corner! We are excited to share details about our upcoming tutorial on **Graph Neural Networks in Epidemic Modeling**: 📅 Date: Sunday, August 25 🕙 Time: 10:00 AM - 1:00 PM (Barcelona Time) 📍 Location: Room 119 Website:

Our new paper @aclmeeting on LLMs for time series forecasting (TSF)! We propose LSTPrompt, a new way for prompting for zero-shot TSF tasks. Main idea: split TSF into short+long-term sub-tasks, tailoring prompts to each & guide LLMs to adapt @GTCSE @mlatgt https://t.co/zVzFvJJVsw

Catch Haoxin @icmlconf 2024 in Vienna, presenting our work on out of distribution generalization (OOD) in time-series forecasting. Get OOD robustness for *any* forecasting method via invariant learning using FOIL, our new model agnostic framework! https://t.co/9kbWf9R0YS @GTCSE

(3/3) Many thanks to @PKeskinocak, Anil Vullikanti, @srijankedia and @XiuweiZhang for serving on the committee! Congrats again @jiamingcui1997

(2/3) His innovative frameworks integrate neural networks with EHR data+Epidemiological models for *patient-level* predictions! Real-world results show *significant improvements* in decision-making at the intersection of healthcare and public health. https://t.co/bCKN90cNjh

(1/3): Congrats to Dr. @jiamingcui1997 who just defended his thesis on cutting edge ML and Epi Models for surveillance&control in clinical settings!! Pleasure advising and learning with+from you. Next: Asst. Prof. @VT_CS after a short stay @UVA_BI 🥳🎉 @GTCSE @gtcomputing @mlatgt