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IEEE Signal Processing Magazine
IF
9.6
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10527
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17316
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On the Convergence, Implicit Bias, and Edge of Stability of Gradient Descent in Deep Learning: Reviewing recent progress [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Hancheng Min; Lachlan Ewen MacDonald; René Vidal
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Computational Nonsmooth Analysis: Modern applications and recent developments [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Lai Tian; Anthony Man-Cho So
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Sequence Modeling Architectures: Foundations [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Felix Sarnthein; Arshia Afzal; Razvan Pascanu; Antonio Orvieto; Caglar Gulcehre; Jonas Geiping; Francesco Tonin; Albert Gu; Volkan Cevher
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Training Neural Networks at Any Scale: An exposition
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Thomas Pethick; Kimon Antonakopoulos; Antonio Silveti-Falls; Leena Chennuru Vankadara; Volkan Cevher
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Unveiling Hidden Convexity in Deep Learning: A sparse signal processing perspective [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Emi Zeger; Mert Pilanci
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Guest Editorial for Part 2 of the Special Issue on the Mathematics of Deep Learning [From the Guest Editors]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Laura Balzano; Joan Bruna Estrach; Gitta Kutyniok; Robert Nowak; Jong Chul Ye
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An Overview of Low-Rank Structures in the Training and Adaptation of Large Models: From Implicit Low-Dimensionality to Efficient Training and Fine-Tuning [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
0
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Laura Balzano; Tianjiao Ding; Benjamin D. Haeffele; Soo Min Kwon; Qing Qu; Peng Wang; Zhangyang Wang; Can Yaras
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Spectral Graph Theory: The mathematics of self-supervised learning [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Randall Balestriero; Yann LeCun
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Aligning Large Language Models With Human Feedback: Mathematical foundations and algorithm design [Special Issue on the Mathematics of Deep Learning]
IEEE Signal Processing Magazine
IF
9.6
2026-06-12
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Siliang Zeng; Luca Viano; Chenliang Li; Jiaxiang Li; Markus Wulfmeier; Stefano Ermon; Alfredo Garcia; Mingyi Hong
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Over-the-Air Electromagnetic Signal Processing: From fundamentals to emerging paradigms
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Davide Dardari; Giulia Torcolacci; Gianni Pasolini; Nicolò Decarli; Michail Matthaiou
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Fair and Skill-Diverse Student Group Formation: A graph-theoretic approach [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Alexander Jenkins; Emma Rainbow; Imad Jaimoukha; Fu Siong Ng; Ljubiša Stanković; Miloš Daković; Danimir Mandic; Danilo Mandic
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REALM: A relevance-driven layered protocol for human–AI collaboration in STEM education [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Maoquan Zhang; Bisser Raytchev; Xiujuan Sun
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Artificial Intelligence Foundations: Building essential machine learning skills and understanding [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Kurt Butler; Mónica F. Bugallo; Petar M. Djurić
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Deploying AI for Signal Processing Education: Selected challenges and intriguing opportunities [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Jarvis Haupt; Qin Lu; Yanning Shen; Jia Chen; Yue Dong; Dan McCreary; Mehmet Akçakaya; Georgios B. Giannakis
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A Pedagogical Reconceptualization of Complex Numbers as Two-Dimensional Real Numbers: A Signal Processing Perspective [Lecture Notes]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Pushpendra Singh; Prisha Singh; Anubha Gupta; Rodrigo Capobianco Guido
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Future-Proofing Programmers: Optimal knowledge tracing for artificial intelligence-assisted personalized education [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Yuchen Wang; Pei-Duo Yu; Chee Wei Tan
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IEEE Signal Processing Society: State of Society [State of Society]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Kostas Plataniotis
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Artificial Intelligence for Education: A Signal Processing Perspective: Part II: From Human–AI Cocreativity to Educational Equity [From the Guest Editors]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Danilo Mandic; Mónica Bugallo; Chrisina Jayne; Irwin King
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Transcending Reductionism and Dualism: Philosophical Critique of Electronics and a Vision for Brain-Mimicking Artificial Intelligence Under Moore’s Law 2.0 [Perspectives]
IEEE Signal Processing Magazine
IF
9.6
2026-02-18
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Liming Xiu; Ulisses Braga-Neto
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Large Language Models for Education: <italic>A survey and outlook</italic>
IEEE Signal Processing Magazine
IF
9.6
2026-01-28
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Shen Wang; Tianlong Xu; Hang Li; Chaoli Zhang; Joleen Liang; Jiliang Tang; Philip S. Yu; Qingsong Wen
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