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B. Aditya Prakash Profile
B. Aditya Prakash

@badityap

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Associate Chair and Associate Professor of Computing @GeorgiaTech | ML/AI + X. X = public health, urban systems, networks, the Web | 💙 data.

Atlanta, USA
Joined June 2011
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@badityap
B. Aditya Prakash
2 years
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.
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B. Aditya Prakash
4 months
RT @GTCSE: Another week, another conference! CSE students and faculty are in Albuquerque presenting #NLProc research at @naacl! . The GT @….
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Grok
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Join millions who have switched to Grok.
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@badityap
B. Aditya Prakash
5 months
Wow…no….
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@badityap
B. Aditya Prakash
6 months
RT @GTCSE: CSE's B. Aditya Prakash, Chao Zhang, and Xiuwei Zhang are among the 1⃣6⃣ #GTComputing faculty awarded promotion and tenure this….
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@badityap
B. Aditya Prakash
7 months
RT @SanghaniCtrVT: Congrats to @SanghaniCtrVT @VT_CS alum Bijaya Adhikari, assistant professor @UIowaCS, on receiving @NSF CAREER award to….
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@badityap
B. Aditya Prakash
9 months
Samay foundational model: Time MMD lib and dataset: GitHub: @GTCSE @mlatgt.
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@badityap
B. Aditya Prakash
9 months
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.
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@badityap
B. Aditya Prakash
9 months
RT @gtcomputing: Next week marks the start of @NeurIPSConf, where #AI breakthroughs and research experts will take center stage. @GeorgiaTe….
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@badityap
B. Aditya Prakash
9 months
RT @GTCSE: CSE experts are presenting 18 papers this year at @NeurIPSConf, a testament to the importance of #AI research toward finding new….
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@badityap
B. Aditya Prakash
9 months
RT @autreche: Very excited and grateful to receive an ERC Consolidator grant #ERCCoG on Counterfactuals in Minds and Machines! Are you inte….
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@badityap
B. Aditya Prakash
10 months
RT @PoloChau: 🎉The coolest #CSE school in the world is hiring multiple faculty members! Application link below👇
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@badityap
B. Aditya Prakash
11 months
RT @VedantNeedMoEdu: 🪃 I'm on the academic job market!. I study digital applications for work, focusing on mental well-being + social dynam….
vedantdasswain.com
Vedant Das Swain’s personal website
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@badityap
B. Aditya Prakash
1 year
Awesome, many congratulations @_arodriguezca on the award - very well deserved! 🙌 🎉 🎊 . And nice pic :-) . #proudadvisor. cc @gtcomputing @GTCSE @vsarkar_gt @mlatgt.
@_arodriguezca
Alexander Rodríguez
1 year
Grateful and honored to receive the ACM SIGKDD Dissertation Award Runner-Up! . Many thanks to my PhD advisor @badityap, PhD committee + mentors @raskarmit @profnaren @PoloChau Peng Chen @gwellenius, collaborators, and family & friends for their support and encouragement.
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B. Aditya Prakash
1 year
RT @Harsha_64: Our work "Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity" on large-scale industri….
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@badityap
B. Aditya Prakash
1 year
RT @weisshelter: #KDD2024 is just around the corner! We are excited to share details about our upcoming tutorial on **Graph Neural Networks….
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@badityap
B. Aditya Prakash
1 year
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 .
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github.com
Contribute to AdityaLab/lstprompt development by creating an account on GitHub.
@leozhao_zhiyuan
Zhiyuan (Leo) Zhao
1 year
We're presenting our poster at #ACL2024:. What: LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. When: Aug 14, 12:15-13:15 ICT. Where: Convention Center A1. Paper: Code:
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B. Aditya Prakash
1 year
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! @GTCSE.
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github.com
Contribute to AdityaLab/FOIL development by creating an account on GitHub.
@HessianLiu
Haoxin Liu
1 year
I am at #ICML24 all week. Catch me at my poster session:.What: Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning.When: Wed 24 Jul 11:30 a.m. — 1 p.m. CEST.Where: Hall C 4-9 #2200.Paper: Code:
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@badityap
B. Aditya Prakash
1 year
(3/3) Many thanks to @PKeskinocak, Anil Vullikanti, @srijankedia and @XiuweiZhang for serving on the committee! . Congrats again @jiamingcui1997.
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B. Aditya Prakash
1 year
(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.
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@badityap
B. Aditya Prakash
1 year
(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
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@badityap
B. Aditya Prakash
1 year
RT @GTCSE: School of CSE researchers co-author one-fifth of all @GeorgiaTech papers presented next week at #ICML2024! . Check out the GT @….
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