StARLinG lab
@STARLing_lab
Statistical Relational Learning Lab at #UTD
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Looking back over the past 5 years here at @STARLing_lab, we see a tree that has remained steadfast, growing stronger with each passing season. Many of our incredible members have moved on to build their own nests, while new minds have joined us, bringing new perspectives and…
Interested in learning how to build generative models that can reason probabilistically? Checkout our @IJCAIconf survey paper on Building Expressive and Tractable Probabilistic Generative Models! Joint work with the amazing @Sriraam_UTD @STARLing_lab . ijcai.org/proceedings/20…
In prior work, we argued that LLMs recite causal knowledge embedded in the data. At #AIME2024, we now show how to combine this with structure learning and dedicated new data to induce medical models! Causal Parrots 👉 openreview.net/forum?id=tv46t… AIME 👉 link.springer.com/chapter/10.100…
Humbled and honored to be recognized for my efforts in teaching by the President's award for excellence in graduate teaching and professional education! This is dedicated to ALL my students in my ML and AI classes in the past 13+ years.
Always a pleasure to catchup with Prof. @Sriraam_UTD. @STARLing_lab in the bay area with @nandini_ramanan and Shuo Yang.
While sum-product networks guarantee tractable inference, their internal nodes don't correspond to any observable variable. This makes them hard to explain. We use 30 year old work on context specific independence to propose a new data structure & use it to explain SPNs #PGM2022
Bhagirath Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M Haas, Kristian Kersting and Sriraam Natarajan. Explaining Deep Tractable Probabilistic Models: The sum-product network case. #PGM2022
Glad I had the opportunity to present our work on explaining sum-product networks using a tree-structured representation of context-specific independencies encoded by the SPN. Thanks to @mathursaurabh96, Dr. David Haas, @pedjagogue, @kerstingAIML and my advisor @Sriraam_UTD.
Bhagirath Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M Haas, Kristian Kersting and Sriraam Natarajan. Explaining Deep Tractable Probabilistic Models: The sum-product network case. #PGM2022
The RePReL framework is a fusion of high-level symbolic reasoning with lower level signal-based learning. It constructs effective task-specific abstractions to accelerate learning in structured domains. starling.utdallas.edu/papers/RePReL/
Happy to share that our work on learning to act in domains with structured and unstructured (hybrid) data, Hybrid Deep RePReL, is now accepted at the IEEE FUSION 2022. Nikhilesh Prabhakar, @ravi_iitm, Erik Blasch, Prasad Tadepalli, @Sriraam_UTD, @STARLing_lab
One of the small pleasures of being an academic is taking out the lab for lunches and having wonderful discussions. The pandemic had taken that out of the equation. We finally, had our first lab lunch in 2 years. @STARLing_lab @harsha_kokel
Thrilled to welcome @Sriraam_UTD to @rbc_dsai_iitm as a Disinguished Faculty Fellow!! @iitmadras @STARLing_lab
Join us for the @rbc_dsai_iitm distinguished fellow colloquium talk by @Sriraam_UTD on 30th March '22 between 4-5 PM. Limited seats! Register now! Register on: lnkd.in/d3F64Bbb @ravi_iitm @Himanshu_IITM @karthikraman Raman @iitmadras #artificialintelligence #DataScience
The CLeaR (clear-workshop.github.io) workshop will start soon (Feb 28th, 8:45 am EST), check out our exciting schedule, excellent diverse speakers, and papers. Join us if you are at AAAI-2022! @RealAAAI, #AAAI2022, @hfaghihi15, @Sriraam_UTD , @sebdumancic, @H_Karimian,@GaryMarcus
Very happy that I will be giving a keynote talk titled "Deep Learning on Graphs" in Workshop on Advances in Deep Learning and Applications (WADLA) on 22nd Feb. Slides preparation in full flow :) Program: wadla.in #graphdeeplearning #geometricDL #workshop
Excited to announce our excellent speakers at CLeaR WS on "Combining Learning and Reasoning: programming languages, formalisms, and representations", clear-workshop.github.io @RealAAAI,#AAAI2022,@BehrouzBabaki @sebdumancic,@hfaghihi15,@guyvdb @DanRothNLP @GaryMarcus @monireheb
The fellows, Dr Srinivasan Parthasarathy, Dr Sriraam Natarajan, Dr Krithi Ramamritham will engage in long-term collaborations with the Centre, by inspiring, mentoring and initiating meaningful collaborations. Good luck to all of them & #IITMadras. bit.ly/IIT-M-fellowsh…
Congratulations to the director of the Starling lab, @Sriraam_UTD, on another real feather in his cap this year 🎉
AAAI is delighted to announce the elevation of these nine members to the AAAI Senior Member status. The 2021 cohort made significant contributions to multiple areas of #AI. They come from both academic and industrial labs in multiple continents. Congratulations!🥳
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