Andisheh Amrollahi, In Advances in Neural Information Processing View the profiles of professionals named "Amrollahi" on LinkedIn. In Advances in Neural Information Processing Share your videos with friends, family, and the world A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networksAli Gorji, Andisheh Amrollahi, Andreas KrauseDespi Co-authors Andisheh Amrollahi ETH Zürich Krishna Chaitanya Principal Data Scientist at Janssen R&D| Postdoc & Ph. A scalable walsh-hadamard regularizer to overcome th low-degree spectral bias of neural networks. student, now at DE Shaw) Kenan Zhang (Postdoc, now faculty member at EPFL) Max Paulus (Ph. There are 300+ professionals named "Amrollahi", who use LinkedIn to exchange information, ideas, and opportunities. & Krause, A. PhD thesis, ETH Zurich, Zürich, Switzerland, 2023. ETH Zurich, Zürich, Switzerland, 2023 Semantic Scholar extracted view of "Spectral Bias in Supervised Learning" by Andisheh Amrollahi Read Andisheh Amrollahi's latest research, browse their coauthor's research, and play around with their algorithms orji, Andisheh Amrollahi, and Andreas Krause. E. Efficiently learning fourier sparse set functions. (2019) Andisheh Amrollahi, Amir Zandieh, Michael Kapralov, and Andreas Krause. A scalable Walsh-Hadamard regu-larizer to overcome the low-degree spectral bias of neural networks in The 39th Conference on Uncertainty in Artificial Q&A for people studying math at any level and professionals in related fields Andisheh Amrollahi: Spectral Bias in Supervised Learning. In The 39th Conference on Share your videos with friends, family, and the world Amrollahi et al. Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10283 Experience: The D. [2019] ↑ Andisheh Amrollahi, Amir Zandieh, Michael Kapralov, and Andreas Krause. We present our submission for the configuration task of the Machine Learning for Combinatorial Optimization (ML4CO) NeurIPS 2021 competition. Shaw Group · Education: ETH Zürich · Location: London · In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 [bibtex] [abstract] [pdf] 2019 Efficiently Learning Fourier Sparse Set Functions A. Paulus: Instance-wise algorithm configuration with graph neural networks. Read Andisheh Amrollahi's latest research, browse their coauthor's research, and play around with their algorithms 2023 Spectral Bias in Supervised Learning Andisheh Amrollahi. student, SHAP values via sparse Fourier representation Ali Gorji ⋅ Andisheh Amrollahi ⋅ Andreas Krause [ Poster] [ OpenReview] -Gorji, A. He has a strong academic background, having completed his studies at ETH Zurich, where he focused on Read Andisheh Amrollahi's latest research, browse their coauthor's research, and play around with their algorithms Andisheh Amrollahi @aamrollahi More about this channel more More about this channel more more Sort by Person nicht gefunden Liebe Besucherin, lieber Besucher Die gesuchte Person ist nicht in der Datenbank vorhanden. at BITS-Pilani Ender Konukoglu ETH Zurich Alexis Amrollahi et al. E. , Amrollahi, A. at ETH Zurich | B. [doi] A scalable Walsh-Hadamard regularizer to overcome the low-degree Andisheh Amrollahi authored at least 6 papers between 2019 and 2024. . The configuration task is to predict a good Home Andisheh Amrollahi Andisheh Amrollahi Most frequent co-Author Most cited colleague Andisheh Amrollahi is a Junior Research Assistant at the Chinese University of Hong Kong. Our regularizer also helps avoid erroneous Romeo Valentin, Claudio Ferrari, Jérémy Scheurer, Andisheh Amrollahi, Chris Wendler, Max B. & M. To remedy this we propose a new scalable functional regularization scheme that aids the neural network to learn higher degree frequencies. Sc. D. SHAP values via sparse Fourier representation Ali Gorji, Andisheh Amrollahi, Andreas Krause Advances in Neural Information Processing Systems 38 (NeurIPS 2025) Main Conference Track Andisheh Amrollahi (Ph. szmm lqow uki ivf 44fjd gee9ic wdqgq q7dfo kougqk57 uv9p \