Thomas Markovich

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Candidate Generation

Top Venues

Trans. Mach. Learn. Res.

Publications

Muberra Ozmen, Thomas Markovich
Recent Link Classification on Temporal Graphs Using Graph Profiler. Trans. Mach. Learn. Res. 2024 (2024)
Thomas Markovich
QDC: Quantum Diffusion Convolution Kernels on Graphs. Trans. Mach. Learn. Res. 2024 (2024)
Dean Wyatte, Fatemeh Tahmasbi, Ming Li, Thomas Markovich
Scaling Laws for Discriminative Classification in Large Language Models. CoRR (2024)
Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire
Graph Neural Networks for Link Prediction with Subgraph Sketching. ICLR (2023)
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
Understanding convolution on graphs via energies. Trans. Mach. Learn. Res. 2023 (2023)
Alexander P. Wu, Thomas Markovich, Bonnie Berger, Nils Yannick Hammerla, Rohit Singh
Causally-guided Regularization of Graph Attention Improves Generalizability. Trans. Mach. Learn. Res. 2023 (2023)
Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. PAKDD (3) (2023)
Thomas Markovich
QDC: Quantum Diffusion Convolution Kernels on Graphs. CoRR (2023)
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. AdKDD@KDD (2023)
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. CoRR (2023)
Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. CoRR (2022)
Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. KDD (2022)
Alexander P. Wu, Thomas Markovich, Bonnie Berger, Nils Hammerla, Rohit Singh
Causally-guided Regularization of Graph Attention Improves Generalizability. CoRR (2022)
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
Graph Neural Networks as Gradient Flows. CoRR (2022)
Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval. CoRR (2022)
Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Hammerla, Michael M. Bronstein, Max Hansmire
Graph Neural Networks for Link Prediction with Subgraph Sketching. CoRR (2022)