My deepest condolences to his family. But the main topic of his thesis was speech recognition, time-series analysis, and dynamical systems modeling. He was a wonderful person and amazing teacher. Data driven production models for speech processing. I will remember him best as he was when I saw him in the Lake District, carefree and lolling on the lawn with friends on a golden afternoon.

My heart aches from this sorrowful goodbye. Sam was an amazingly generous friend and truly inspiring colleague. I had the privilege of taking two courses with him, and even now find myself occasionally referring to his course notes. A course on homotopy type theory. Sam was not just a scientist, however, he was also an engineer.

Unfortunately, despite potential engineering advantages and evidence for being ghesis of the human strategy, such inversion of speech production models is absent in almost all artificial speech processing systems. My last interaction with Sam, last week, was discussing a new research direction that interested him, optimizing the cost of acquiring feature information in the learning algorithm.

He was one of the most gifted educators I have ever had the privilege of knowing, and as his peers here well know, his research record is one of distinction. My condolance to rowwis family.

I have been trying to make sense of the circumstances of his passing, and found your board by chance. Please, we would be grateful if you would all repost your memories, loving thoughts and thoughtful comments there.


Sam Roweis died « Machine Learning (Theory)

With his contemporary Erik Winfree and others, he made a proposal for a sticker-based model of computation. Sam was my close friend in high school. I knew Sam as a friend, in fact as a friend tgesis a friend through Sara. Given points in a high-dimensional space, local geometric relations among groups of nearby data points capture both local and global structure in the whole data set.

Sam had a singular gift: Natalia Hernandez Gardiol aam In making this choice Sam rejected several extremely prestigious offers for the unparalleled intellectual atmosphere he found at Toronto surrounding his mentor, Geoff. I feel really lucky to have collaborated with him.

Sam Roweis, Associate Professor

Ever since then, I have aspired to achieve something like that kind of subjective lucidity in my own lectures. There was so much thesid energy and enthusiasm in his talks, I cannot bring myself to believe this… My thoughts and prayers are with his family.

Very sorry to roweiw this. He was also a strong advocate for the use of machine learning and computational statistics for scientific data analysis and discovery. Data driven production models for speech processing Citation Roweis, Sam T.

sam roweis thesis

I am deeply saddened by this. His enthusiasm was infectious, his facility with mathematics unmatched. Many of us still had so much to learn from Sam, both the researcher and the person.


sam roweis thesis

It is funny how for at least some of us myself at once an instance and a recovering, I hope, instance of this it can truly feel like that to-do list consumes your life. He was soo enthusiastic zam what he was teaching, that his enthusiam was contagious, even through a PC screen. I wish I met you Sam. May his soul rest in peace.

Data driven production models for speech processing – CaltechTHESIS

Thank you, John, for the post. He was a sweet, funny, brilliant man. This is shocking news to me.

sam roweis thesis

Their most visible success together was a kind of search engine for the sky, called Astrometry. But the main topic of his thesis was speech recognition, time-series analysis, and dynamical systems modeling. Sam’s enthusiasm and creativity played riweis important role in making the Gatsby Unit one of the top labs in computational neuroscience.

It is still hard to believe. There was such tremendous goodness in him.

Data driven production models for speech processing

Thank you for writing this. Sam inspired many students to pursue a career in research, and to focus their research on machine learning and artificial intelligence.

I just watched on videolectures.