Vasileios Lampos
@lampos.net
Associate Professor @ UCL Computer Science | research: AI, NLP, health | dad | 🇺🇳 | ☮ | here I will be focusing more on less scientific matters, go to https://x.com/lampos for research-related content
Website: lampos.net
Website: lampos.net
One would expect that ML experts would be flagging these things during the peer review process of top-tier ML conferences. But they don't. Because the ML expert sub-cohort is probably a minority in the pool of reviewers.
June 30, 2025 at 9:17 AM
One would expect that ML experts would be flagging these things during the peer review process of top-tier ML conferences. But they don't. Because the ML expert sub-cohort is probably a minority in the pool of reviewers.
Example 2: a weather prediction task that encompassed about a year of data from one weather station (do I need to explain to you how idiotic that is / no seasonal modelling / no spatial modelling / no practical value in this model / plus rich weather data sets are available).
June 30, 2025 at 9:17 AM
Example 2: a weather prediction task that encompassed about a year of data from one weather station (do I need to explain to you how idiotic that is / no seasonal modelling / no spatial modelling / no practical value in this model / plus rich weather data sets are available).
Ah, and never mind the many bogus benchmarks (data sets) people use to evaluate models. Example 1: an influenza prediction task that used historical influenza-like illness rates to forecast rates one year ahead or longer (which does not appear to be a plausible biological task).
June 30, 2025 at 9:17 AM
Ah, and never mind the many bogus benchmarks (data sets) people use to evaluate models. Example 1: an influenza prediction task that used historical influenza-like illness rates to forecast rates one year ahead or longer (which does not appear to be a plausible biological task).
And of course, many "SOTA" models out there predict garbage at the target forecasting horizon. They are unusable, but still advertised as the best.
June 30, 2025 at 9:17 AM
And of course, many "SOTA" models out there predict garbage at the target forecasting horizon. They are unusable, but still advertised as the best.
This is the same as telling you that in 5 days from now the temperature will be 30C, but evaluating the accuracy of that prediction using all my (easier) predictions from now till the target forecasting horizon (5 days from now).
June 30, 2025 at 9:17 AM
This is the same as telling you that in 5 days from now the temperature will be 30C, but evaluating the accuracy of that prediction using all my (easier) predictions from now till the target forecasting horizon (5 days from now).
January 17, 2025 at 6:49 PM
These include a bi-annual career mentorship with a G-Research Quantitative Researcher, a place on G-Research's Spring into Quant Finance Programme during their second year, presentation and seminar invitations, an annual dinner, and brand ambassador status.
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/8
January 17, 2025 at 6:49 PM
These include a bi-annual career mentorship with a G-Research Quantitative Researcher, a place on G-Research's Spring into Quant Finance Programme during their second year, presentation and seminar invitations, an annual dinner, and brand ambassador status.
/8
/8
G-Research will not be involved in the determination of the research topic or the research itself. The successful candidate, however, will have additional benefits for career development (all optional based on the candidate's preferences).
/7
/7
January 17, 2025 at 6:49 PM
G-Research will not be involved in the determination of the research topic or the research itself. The successful candidate, however, will have additional benefits for career development (all optional based on the candidate's preferences).
/7
/7