Am I reading this right? Is the @iclr_conf'27 submission deadline before the @NeurIPSConf'26 decision notification? Can someone confirm this? #ICLR2027 #NeurIPS2026
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Karish Grover (✈️ICML’26)
141 posts
Karish Grover (✈️ICML’26)
@karishgrover
ML Ph.D. @CarnegieMellon • Visiting Researcher @Meta • Amazon & Meta AI Ph.D. Fellow • Prev. @amazon @Microsoft @LinkedIn
Menlo Park, CA Katılım Ekim 2021
315 Takip Edilen1.5K Takipçiler
Updated arXiv versions + detailed threads on each paper coming in the next few days.
If you're at ICML and want to chat about geometric foundations for graphs and language, graph ML, or reasoning in generative models — DMs are open. See you in Seoul at #ICML2026!
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📄[3/3] "DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts" (led by Jiarui Feng, presented by me) w/ @AIatMeta
Scaling MoE along a new axis — learning a DAG over expert outputs instead of a plain weighted sum.
🔗Paper: arxiv.org/pdf/2606.01062
🗓Wed Jul 8 · 5:00–6:45 PM · Hall A #107
#MoE #LLM
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Thrilled to share that 3/3 of our papers were accepted to #ICML2026!🎉I'll be in Seoul from July 4–12, presenting these works with amazing collaborators from @Meta, @AmazonScience, & @CarnegieMellon.
These papers span the geometry of natural language, control theory for graph self-supervision, and structural aggregation in Mixture-of-Experts. Poster details below — come say hi if you're at @icmlconf!🧵
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Update: Spending the summer at @Meta in Menlo Park, CA, continuing my role as a Visiting Researcher @AIatMeta with @YinglongXia and @zimplex4.
I’ll be in the Bay Area for the summer so feel free to reach out if you’d like to talk research.
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Honored to be awarded the Hima and Jive Fellowship by CMU’s Software and Societal Systems Department.
Grateful to my advisors, mentors, and peers for their support along the way!
s3d.cmu.edu/news/2025/grad…
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Honored to be named an Amazon AI Ph.D. Fellow (a.y. 2025–27) ✨
Grateful to my advisors at @mldcmu — Christos F. and Geoff G. — for their constant support. We’ll be working on geometric DL for graphs, in close collaboration with the researchers at @amazon.
#AmazonAIFellowship
Carnegie Mellon University@CarnegieMellon
Ten CMU doctoral students pursuing AI research will receive support from @amazon through the company's new AI Ph.D. Fellowship Program. The researchers, from @SCSatCMU and @CMUEngineering, are tackling foundational challenges critical to AI innovation. cs.cmu.edu/news/2025/amaz…
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Excited to share that I’ve joined @Meta as a Visiting Researcher for the next year, in their Pittsburgh office, alongside my PhD at @mldcmu. I’ll be working on #GeometricDL and #GraphML, with @YinglongXia & @zimplex4, under the @AIatMeta AI Mentorship Program.
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Excited to be in Vancouver this week for #ICML2025!🌍✈️. Presenting our paper on curvature-based graph anomaly detection:
📍 East Exhibition Hall A-B E2900
📅 Tue, 15 July | 4:30 – 7:00 PM PDT
🔗 arxiv.org/abs/2502.08605
Drop by to chat about #geometricDL and #graphML! 🚀🧩
Karish Grover (✈️ICML’26)@karishgrover
New paper alert! 🚀📈 #ICML2025 @icmlconf Can graph curvature uncover hidden anomalies overlooked by traditional methods? 💡Introducing CurvGAD, a mixed-curvature graph autoencoder designed to detect curvature-based geometric anomalies. 🔗 arxiv.org/pdf/2502.08605 (1/9)
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Thrilled to join @AmazonScience as an Applied Scientist Intern this summer in Santa Clara, CA! I’ll be working on Graph Machine Learning and Geometric DL with @thvasilo (and others). Would love to connect if you’re around the Bay Area! @mldcmu @awscloud #GeometricDL
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I once trained hyperbolic (Poincaré) networks with Riemannian SGD and HogWild. Your optimization stack does not scare me.
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Work done with my advisors, Geoff Gordon and Christos Faloutsos (@bear5claw), at @mldcmu @CarnegieMellon
🔗 arxiv.org/pdf/2502.08605
📌 Code out soon — stay tuned!
#ICML2025 #GNN #GraphNeuralNetworks #GeometricDL #AnomalyDetection (9/9)
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🔥 CurvGAD outperforms SOTA with lift of up to 6.5 in AUC scores for GAD, across 10 real-world datasets.
🎯 Works across both homophilic & heterophilic graphs, with complex topologies & varying curvature distributions. (8/9)
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New paper alert! 🚀📈 #ICML2025 @icmlconf
Can graph curvature uncover hidden anomalies overlooked by traditional methods?
💡Introducing CurvGAD, a mixed-curvature graph autoencoder designed to detect curvature-based geometric anomalies.
🔗 arxiv.org/pdf/2502.08605
(1/9)
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