René's URL Explorer Experiment


Title: Research Interests | Parikshit Ram

Open Graph Title: Research Interests

X Title: Research Interests

Description: Research interests and publications

Open Graph Description: Research interests and publications

Opengraph URL: https://rithram.github.io/

Generator: Jekyll v3.10.0

direct link

Domain: rithram.github.io

Hey, it has json ld scripts: 
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NoneIE=edge
og:localeen_US
og:site_nameParikshit Ram
og:typewebsite
twitter:cardsummary

Links:

Parikshit Ramhttps://rithram.github.io/
View My GitHub Profilehttps://github.com/rithram
research scientist at IBM Researchhttps://research.ibm.com/people/parikshit-ram
herehttps://rithram.github.io/research/bilevel.html
herehttps://rithram.github.io/research/compgen.html
herehttps://rithram.github.io/research/icl.html
herehttps://rithram.github.io/research/autoai.html
Lalehttps://github.com/IBM/lale
herehttps://rithram.github.io/research/neuro.html
density estimationhttps://rithram.github.io/research/dest.html
all-pairs problemshttps://rithram.github.io/research/cgallpairs.html
thesis researchhttps://rithram.github.io/research/papers/2013/RAM-DISSERTATION-2013.pdf
similarity searchhttps://rithram.github.io/research/simsearch.html
Neuro-Inspired Learning & Associative Memorieshttps://rithram.github.io/research/neuro.html
Compositional Generalizationhttps://rithram.github.io/research/compgen.html
In-Context Learninghttps://rithram.github.io/research/icl.html
Bilevel Optimization and Other Optimizationhttps://rithram.github.io/research/bilevel.html
Automated Machine Learning / Artificial Intelligence / Data Sciencehttps://rithram.github.io/research/autoai.html
Machine Unlearninghttps://rithram.github.io/research/unlearn.html
Tabular Data Processinghttps://rithram.github.io/research/tab.html
Density Estimationhttps://rithram.github.io/research/dest.html
Computation Geometry / All-Pairs Problemhttps://rithram.github.io/research/cgallpairs.html
Similarity Searchhttps://rithram.github.io/research/simsearch.html
Google Scholar profilehttps://scholar.google.com/citations?hl=en&user=JaXmmnkAAAAJ&sortby=pubdate
Lalehttps://github.com/IBM/lale
a tutorial on Associative Memorieshttps://tutorial.amemory.net
2025 Neuro-Symbolic Summer Schoolhttps://www.centaurinstitute.org/education
videohttps://www.youtube.com/watch?v=zVJ59vIden0&t=15555s
a tutorial on Associative Memorieshttps://tutorial.amemory.net
Dense Associative Memories through the lens of Random Featureshttps://proceedings.neurips.cc/paper_files/paper/2024/file/29ff36c8fbed10819b2e50267862a52a-Paper-Conference.pdf
videohttps://youtu.be/dZ1z06r6fG4
New Frontiers for Associative Memorieshttps://nfam.vizhub.ai
videohttps://slideslive.com/39038118/symbiosis-of-associative-memories-and-machine-learning
videohttps://www.youtube.com/watch?v=r_aSWxDCrTc&t=9600s
What makes Models Compositional?https://www.ijcai.org/proceedings/2024/533
LNSAIhttps://sites.google.com/view/lnsai2024/
Associative Memory & Hopfield Networkshttps://amhn.vizhub.ai
sessionhttps://rithram.github.io/research/papers/2023/DR_NSSS2023.slides.pdf
Neuro-Symbolic Summer School 2023https://neurosymbolic.github.io/nsss2023/
JPOC13https://jpoc13.sciencesconf.org/
summer school on Combinatorial Optimization & Machine Learninghttps://jpoc13.sciencesconf.org/resource/page/id/4
Biosketchhttps://rithram.github.io/biosketch.html
toolshttps://rithram.github.io/misc/tools.html
listhttps://rithram.github.io/misc/rlist.html
orderedlisthttps://github.com/orderedlist

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