The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning
暫譯: 智慧的幾何:深度學習中變壓器網絡的基礎

Singh, Pradeep, Raman, Balasubramanian

  • 出版商: Springer
  • 出版日期: 2025-05-22
  • 售價: $4,540
  • 貴賓價: 9.8$4,449
  • 語言: 英文
  • 頁數: 361
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819647053
  • ISBN-13: 9789819647057
  • 相關分類: DeepLearning
  • 海外代購書籍(需單獨結帳)

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作者簡介

Dr. Pradeep Singh earned his Ph.D. and Master's degrees from the Indian Institute of Technology (IIT) Delhi, specializing in Symbolic Systems, and a Bachelor's degree in Data Science from IIT Madras. Currently, he is a Post-Doctoral Researcher and Principal Investigator at the Machine Intelligence Lab within the Department of Computer Science and Engineering at IIT Roorkee, where he is actively engaged in research at the intersection of Geometric Deep Learning, Neuro-symbolic AI, and Dynamical Systems. His research is supported by the National Post Doctoral Fellowship (N-PDF) from the Science and Engineering Research Board (SERB), Department of Science and Technology. Dr. Singh has earned multiple accolades, including All India Rank 1 in IIT GATE 2020, IIT JAM 2015, and CSIR NET 2019, along with prestigious fellowships such as the National Board for Higher Mathematics (NBHM) Masters, Doctoral, and Post Doctoral Fellowships from the Department of Atomic Energy, India. In 2019, he was one of only two researchers nationwide to be awarded the esteemed Shyama Prasad Mukherjee (SPM) Doctoral Fellowship in Mathematics by the Council of Scientific and Industrial Research, India.

Dr. Balasubramanian Raman received his Ph.D. from IIT Madras and his B.Sc. and M.Sc. in Mathematics from the University of Madras. He is a Professor and the Head of the Department of Computer Science and Engineering at IIT Roorkee, as well as the iHUB Divyasampark Chair Professor. He is also a Joint Faculty member in the Mehta Family School of Data Science and Artificial Intelligence at IIT Roorkee. With over 200 research papers published in reputed journals and conferences, his research interests span Machine Learning, Image and Video Processing, Computer Vision, and Pattern Recognition. Dr. Raman has served as a Guest Professor and Visiting Researcher at prestigious institutions such as Osaka Metropolitan University, Curtin University, the University of Cyberjaya, and the University of Windsor. He has held postdoctoral positions at Rutgers University and the University of Missouri-Columbia. Under his coaching, teams have achieved notable rankings in the ACM International Collegiate Programming Contest (ICPC) World Finals. He has been recognized with several awards, including the BOYSCAST Fellowship and the Ramkumar Prize for Outstanding Teaching and Research.

作者簡介(中文翻譯)

普拉迪普·辛格博士(Dr. Pradeep Singh)在印度理工學院(IIT)德里校區獲得了博士學位和碩士學位,專攻符號系統,並在印度理工學院(IIT)馬德拉斯校區獲得數據科學學士學位。目前,他是印度理工學院(IIT)魯爾基校區計算機科學與工程系的博士後研究員及首席研究員,積極從事幾何深度學習、神經符號人工智慧和動態系統交叉領域的研究。他的研究得到了科學與工程研究委員會(SERB)科技部的國家博士後獎學金(N-PDF)的支持。辛格博士獲得了多項榮譽,包括2020年IIT GATE全印度第一名、2015年IIT JAM和2019年CSIR NET,以及來自印度原子能部的國家高等數學委員會(NBHM)碩士、博士和博士後獎學金。2019年,他是全國僅有的兩位獲得印度科學與工業研究委員會頒發的著名夏瑪·普拉薩德·穆克吉(Shyama Prasad Mukherjee, SPM)數學博士獎學金的研究員之一。

巴拉蘇布拉馬尼安·拉曼博士(Dr. Balasubramanian Raman)在印度理工學院(IIT)馬德拉斯校區獲得博士學位,並在馬德拉斯大學獲得數學學士和碩士學位。他是印度理工學院(IIT)魯爾基校區計算機科學與工程系的教授及系主任,同時擔任iHUB Divyasampark講座教授。他也是印度理工學院(IIT)魯爾基校區梅赫塔家族數據科學與人工智慧學院的聯合教員。拉曼博士在知名期刊和會議上發表了超過200篇研究論文,他的研究興趣涵蓋機器學習、影像與視頻處理、計算機視覺和模式識別。拉曼博士曾在大阪市立大學、科廷大學、賽伯賈亞大學和溫莎大學等知名機構擔任客座教授和訪問研究員。他曾在羅格斯大學和密蘇里大學哥倫比亞校區擔任博士後職位。在他的指導下,團隊在ACM國際大學程式設計競賽(ICPC)世界總決賽中取得了顯著的排名。他獲得了多項獎項,包括BOYSCAST獎學金和拉姆庫馬爾傑出教學與研究獎。

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