Thomas Markovich

22 papers A* 3Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations.
CoRR
Fred Xu, Thomas Markovich
2025 — conf
Understanding the Design Principles of Link Prediction in Directed Settings.
WWW (Companion Volume)
Jun Zhai, Muberra Ozmen, Thomas Markovich
2025 J jnl
Understanding the Design Principles of Link Prediction in Directed Settings.
CoRR
Jun Zhai, Muberra Ozmen, Thomas Markovich
2025 A* conf
When to retrain a machine learning model.
ICML
Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich
2025 J jnl
When to retrain a machine learning model.
CoRR
Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich
2024 J jnl
Benchmarking Edge Regression on Temporal Networks.
J. Data-centric Mach. Learn. Res.
Muberra Ozmen, Florence Regol, Thomas Markovich
2024 J jnl
QDC: Quantum Diffusion Convolution Kernels on Graphs.
Trans. Mach. Learn. Res.
Thomas Markovich
2024 J jnl
Recent Link Classification on Temporal Graphs Using Graph Profiler.
Trans. Mach. Learn. Res.
Muberra Ozmen, Thomas Markovich
2024 J jnl
Scaling Laws for Discriminative Classification in Large Language Models.
CoRR
Dean Wyatte, Fatemeh Tahmasbi, Ming Li, Thomas Markovich
2023 J jnl
Causally-guided Regularization of Graph Attention Improves Generalizability.
Trans. Mach. Learn. Res.
Alexander P. Wu, Thomas Markovich, Bonnie Berger, Nils Yannick Hammerla, Rohit Singh
2023 A* conf
Graph Neural Networks for Link Prediction with Subgraph Sketching.
ICLR
Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire
2023 J jnl
QDC: Quantum Diffusion Convolution Kernels on Graphs.
CoRR
Thomas Markovich
2023 — conf
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter.
AdKDD@KDD
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
2023 J jnl
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter.
CoRR
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
2023 J jnl
Understanding convolution on graphs via energies.
Trans. Mach. Learn. Res.
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
2023 — conf
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval.
PAKDD (3)
Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao
2022 J jnl
Causally-guided Regularization of Graph Attention Improves Generalizability.
CoRR
Alexander P. Wu, Thomas Markovich, Bonnie Berger, Nils Hammerla, Rohit Singh
2022 J jnl
Graph Neural Networks as Gradient Flows.
CoRR
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
2022 J jnl
Graph Neural Networks for Link Prediction with Subgraph Sketching.
CoRR
Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Hammerla, Michael M. Bronstein, Max Hansmire
2022 A* conf
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.
KDD
Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi
2022 J jnl
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.
CoRR
Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi
2022 J jnl
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval.
CoRR
Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao