AB
Artem Babenko
cs.LGcs.CVstat.MLcs.AIcs.IRcs.CLcs.DBcs.DMcs.DScs.GR
On Valency
published · living versionsW_yrxnhwwh·v1 · currentpublished
Beyond Foundation Models: PFN Priors Improve Tabular Hyperparameter Optimization
with Artem Chistyakov, Renat Sergazinov
1 version
W_tdjdytt8·v1published
Preprints & journals
54 papers in the corpus · 2014–2026On Data Scaling in Tabular ML: More Data, Better Generalization?2610.26794v1 · Ivan Rubachev, Nikita Lazarev, Artem Babenko2026 · 0 citationsarXivon Valency
Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping2610.13909v1 · Danil Rudenko, Georgii Bulgakov, Nikolay Kartashev et al.2026 · 0 citationsarXiv
Agentic Search Spaces for Tabular Machine Learning2609.16309v1 · Renat Sergazinov, Artem Chistyakov, Sergey Pankevich et al.2026 · 0 citationsarXiv
TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning2607.05380v1 · Yury Gorishniy, Akim Kotelnikov, Ivan Rubachev et al.2026 · 0 citationsarXiv
Registers Matter for Pixel-Space Diffusion Transformers2605.16147v2 · Nikita Starodubcev, Ilia Sudakov, Ilya Drobyshevskiy et al.2026 · 0 citationsarXiv
Benchmarking Optimizers for MLPs in Tabular Deep Learning2604.15297v2 · Yury Gorishniy, Ivan Rubachev, Dmitrii Feoktistov et al.2026 · 0 citationsarXiv
Revisiting Autoregressive Models for Generative Image Classification2603.19122v2 · Ilia Sudakov, Artem Babenko, Dmitry Baranchuk2026 · 0 citationsarXiv
Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data2509.21465v3 · George Yakushev, Alina Shutova, Ivan Rubachev et al.2025 · 0 citationsarXiv
GraphPFN: A Prior-Data Fitted Graph Foundation Model2509.21489v4 · Dmitry Eremeev, Oleg Platonov, Gleb Bazhenov et al.2025 · 0 citationsarXiv
Unveiling the Role of Data Uncertainty in Tabular Deep Learning2509.04430v1 · Nikolay Kartashev, Ivan Rubachev, Artem Babenko2025 · 0 citationsarXiv
Turning Tabular Foundation Models into Graph Foundation Models2508.20906v3 · Dmitry Eremeev, Gleb Bazhenov, Oleg Platonov et al.2025 · 0 citationsarXiv
On Finetuning Tabular Foundation Models2506.08982v2 · Ivan Rubachev, Akim Kotelnikov, Nikolay Kartashev et al.2025 · 1 citationarXiv
Scale-wise Distillation of Diffusion Models2503.16397v2 · Nikita Starodubcev, Ilya Drobyshevskiy, Denis Kuznedelev et al.2025 · 0 citationsarXiv
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling2410.24210v3 · Yury Gorishniy, Akim Kotelnikov, Artem Babenko2024 · 5 citationsarXiv
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks2406.19380v4 · Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy et al.2024 · 1 citationarXiv
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps2406.14539v3 · Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko et al.2024 · 3 citationsarXiv
YaART: Yet Another ART Rendering Technology2404.05666v1 · Sergey Kastryulin, Artem Konev, Alexander Shishenya et al.2024 · 1 citationarXiv
QUASAR: QUality and Aesthetics Scoring with Advanced Representations2403.06866v3 · Sergey Kastryulin, Denis Prokopenko, Artem Babenko et al.2024 · 1 citationarXiv
Extreme Compression of Large Language Models via Additive Quantization2401.06118v4 · Vage Egiazarian, Andrei Panferov, Denis Kuznedelev et al.2024 · 8 citationsarXiv
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models2312.10835v4 · Nikita Starodubcev, Artem Fedorov, Artem Babenko et al.2023 · 1 citationarXiv
TabR: Tabular Deep Learning Meets Nearest Neighbors in 20232307.14338v2 · Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev et al.2023 · 9 citationsarXiv
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models2304.04344v1 · Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov et al.2023 · 2 citationsarXiv
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts2302.13875v4 · Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin et al.2023 · 1 citationarXiv
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?2302.11640v2 · Oleg Platonov, Denis Kuznedelev, Michael Diskin et al.2023 · 29 citationsarXiv
TabDDPM: Modelling Tabular Data with Diffusion Models2209.15421v2 · Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev et al.2022 · 120 citationsProceedings of the 40 th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond2209.06177v5 · Oleg Platonov, Denis Kuznedelev, Artem Babenko et al.2022 · 21 citationsarXiv
Revisiting Pretraining Objectives for Tabular Deep Learning2207.03208v2 · Ivan Rubachev, Artem Alekberov, Yury Gorishniy et al.2022 · 5 citationsarXiv
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search2205.03763v1 · Harsha Vardhan Simhadri, George Williams, Martin Aumuller et al.2022 · 14 citationsarXiv
On Embeddings for Numerical Features in Tabular Deep Learning2203.05556v4 · Yury Gorishniy, Ivan Rubachev, Artem Babenko2022 · 101 citationsarXiv
When, Why, and Which Pretrained GANs Are Useful?2202.08937v2 · Timofey Grigoryev, Andrey Voynov, Artem Babenko2022 · 10 citationsarXiv
Label-Efficient Semantic Segmentation with Diffusion Models2112.03126v3 · Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov et al.2021 · 237 citationsarXiv
Latent Transformations via NeuralODEs for GAN-based Image Editing2111.14825v1 · Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets et al.2021 · 7 citationsarXiv
Distilling the Knowledge from Conditional Normalizing Flows2106.12699v3 · Dmitry Baranchuk, Vladimir Aliev, Artem Babenko2021 · 2 citationsarXiv
Revisiting Deep Learning Models for Tabular Data2106.11959v5 · Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov et al.2021 · 437 citationsarXiv
Disentangled Representations from Non-Disentangled Models2102.06204v1 · Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets et al.2021 · 8 citationsarXiv
Functional Space Analysis of Local GAN Convergence2102.04448v1 · Valentin Khrulkov, Artem Babenko, Ivan Oseledets2021 · 3 citationsarXiv
Navigating the GAN Parameter Space for Semantic Image Editing2011.13786v3 · Anton Cherepkov, Andrey Voynov, Artem Babenko2020 · 68 citationsarXiv
Object Segmentation Without Labels with Large-Scale Generative Models2006.04988v2 · Andrey Voynov, Stanislav Morozov, Artem Babenko2020 · 35 citationsarXiv
Editable Neural Networks2004.00345v2 · Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin et al.2020 · 49 citationsarXiv
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space2002.03754v3 · Andrey Voynov, Artem Babenko2020 · 251 citationsarXiv
RPGAN: GANs Interpretability via Random Routing1912.10920v2 · Andrey Voynov, Artem Babenko2019 · 7 citationsarXiv
Towards Similarity Graphs Constructed by Deep Reinforcement Learning1911.12122v2 · Dmitry Baranchuk, Artem Babenko2019 · 9 citationsarXiv
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs1910.03524v4 · Denis Mazur, Vage Egiazarian, Stanislav Morozov et al.2019 · 2 citationsarXiv
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data1909.06312v2 · Sergei Popov, Stanislav Morozov, Artem Babenko2019 · 160 citationsarXiv
Relevance Proximity Graphs for Fast Relevance Retrieval1908.06887v3 · Stanislav Morozov, Artem Babenko2019 · 0 citationsarXiv
Unsupervised Neural Quantization for Compressed-Domain Similarity Search1908.03883v1 · Stanislav Morozov, Artem Babenko2019 · 24 citationsarXiv
Learning to Route in Similarity Graphs1905.10987v1 · Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin et al.2019 · 16 citationsarXiv
Impostor Networks for Fast Fine-Grained Recognition1806.05217v1 · Vadim Lebedev, Artem Babenko, Victor Lempitsky2018 · 3 citationsarXiv
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors1802.02422v2 · Dmitry Baranchuk, Artem Babenko, Yury Malkov2018 · 92 citationsarXiv
Pairwise Quantization1606.01550v1 · Artem Babenko, Relja Arandjelovi'c, Victor Lempitsky2016 · 2 citationsarXiv
Career total: 67 works. 54 are in this corpus.Showing the 50 most recent.
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