geriskenderi
Postdoctoral researcher @ Bocconi Institute for Data Science and Analytics. Interested in AI, physics, and a bunch of other things I need help keeping track of.
Bocconi UniversityMilano, Italy
Pinned Repositories
copignn
Unofficial code for the paper "Combinatorial optimization with physics-inspired graph neural networks", published in Nature Machine Intelligence
difusco
Code of NeurIPS paper: arxiv.org/abs/2302.08224
exo-lstm
A data-driven approach to sales forecasting, that uses exogenous temporal and weather encodings.
forecasting
A repository containing code from my research in forecasting
graph-jepa
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
mtl-models
repository containing code for mtl modelling of multiple image classification tasks
recommender-systems
Implementations and evaluations of various recommender system algorithms and approaches
AttentionBasedMultiModalRNN
An unofficial Pytorch implementation of Attention based Multi-Modal New Product Sales Time-series Forecasting
GTM-Transformer
Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends
geriskenderi's Repositories
geriskenderi/graph-jepa
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
geriskenderi/recommender-systems
Implementations and evaluations of various recommender system algorithms and approaches
geriskenderi/mtl-models
repository containing code for mtl modelling of multiple image classification tasks
geriskenderi/copignn
Unofficial code for the paper "Combinatorial optimization with physics-inspired graph neural networks", published in Nature Machine Intelligence
geriskenderi/difusco
Code of NeurIPS paper: arxiv.org/abs/2302.08224
geriskenderi/exo-lstm
A data-driven approach to sales forecasting, that uses exogenous temporal and weather encodings.
geriskenderi/forecasting
A repository containing code from my research in forecasting
geriskenderi/GDSS
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
geriskenderi/geriskenderi.github.io
geriskenderi/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
geriskenderi/odh-hackathon-2019