Ipsit ✈️ NeurIPS 2024
banner
ipsit.bsky.social
Ipsit ✈️ NeurIPS 2024
@ipsit.bsky.social
Looking for a PhD Position in Topological Deep Learning | Ex Sony AI | Purdue | IIT Bombay
ipsitmantri.github.io
Pinned
Passionate about exploring geometric deep learning, I aim to design AI systems that leverage natural symmetries and invariances for robustness, interpretability, and efficiency. See, my recent works accepted at @neuripsconf.bsky.social
arxiv.org/abs/2407.02013
openreview.net/forum?id=FFQ...
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
In this paper, we propose a novel activation function tailored specifically for graph data in Graph Neural Networks (GNNs). Motivated by the need for graph-adaptive and flexible activation functions, ...
arxiv.org
First time attending @neuripsconf.bsky.social to present my paper. Any tips on how to make the most of the conference?
#NeurIPS2024
December 2, 2024 at 2:26 AM
Graph structure typically influences only node embeddings in GNNs. What if activation functions were graph-adaptive too? Introducing DiGRAF: a novel activation function for GNNs powered by learnable diffeomorphisms. Discover more at our poster #33 tomorrow at @logconference.bsky.social 🧠📈
November 25, 2024 at 7:51 PM
Passionate about exploring geometric deep learning, I aim to design AI systems that leverage natural symmetries and invariances for robustness, interpretability, and efficiency. See, my recent works accepted at @neuripsconf.bsky.social
arxiv.org/abs/2407.02013
openreview.net/forum?id=FFQ...
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
In this paper, we propose a novel activation function tailored specifically for graph data in Graph Neural Networks (GNNs). Motivated by the need for graph-adaptive and flexible activation functions, ...
arxiv.org
November 19, 2024 at 10:08 PM
My paper DiGRAF got into NeurIPS 2024. I’m looking for PhD positions in equivariant representation and geometric deep learning. Happy to have a coffee chat !!! arxiv.org/abs/2407.02013
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
In this paper, we propose a novel activation function tailored specifically for graph data in Graph Neural Networks (GNNs). Motivated by the need for graph-adaptive and flexible activation functions, ...
arxiv.org
November 18, 2024 at 10:24 PM
New here. Anyone attending NeurIPS 2024?
November 18, 2024 at 3:28 PM