Mononito Goswami
@mononitogoswami.bsky.social
Ph.D. Student at Carnegie Mellon,
Student Research at Google
Formerly Applied Science Intern Amazon, Undergrad at Delhi Technological University
📈 Foundation Models for Structured Data (Time Series, Tabular), applications in healthcare.
Student Research at Google
Formerly Applied Science Intern Amazon, Undergrad at Delhi Technological University
📈 Foundation Models for Structured Data (Time Series, Tabular), applications in healthcare.
🚀 Interested in time series 📈📉 and tabular data? Then our @icmlconf.bsky.social’25 Workshop on Foundation Models for Structured Data is exactly what you are looking for 😁!
Send us your best work and join us in Vancouver 🇨🇦🍁
Send us your best work and join us in Vancouver 🇨🇦🍁
We are excited to announce #FMSD: "1st Workshop on Foundation Models for Structured Data" has been accepted to #ICML 2025!
Call for Papers: icml-structured-fm-workshop.github.io
Call for Papers: icml-structured-fm-workshop.github.io
March 25, 2025 at 6:51 PM
🚀 Interested in time series 📈📉 and tabular data? Then our @icmlconf.bsky.social’25 Workshop on Foundation Models for Structured Data is exactly what you are looking for 😁!
Send us your best work and join us in Vancouver 🇨🇦🍁
Send us your best work and join us in Vancouver 🇨🇦🍁
🚀 Excited to share that MOMENT has been downloaded 1.3M+ times on HuggingFace, with over 280K downloads in just the last month!
MOMENT is the BERT for time series. It can solve many tasks across different domains, including healthcare! Best part? It's completely open source!
MOMENT is the BERT for time series. It can solve many tasks across different domains, including healthcare! Best part? It's completely open source!
February 13, 2025 at 12:00 AM
🚀 Excited to share that MOMENT has been downloaded 1.3M+ times on HuggingFace, with over 280K downloads in just the last month!
MOMENT is the BERT for time series. It can solve many tasks across different domains, including healthcare! Best part? It's completely open source!
MOMENT is the BERT for time series. It can solve many tasks across different domains, including healthcare! Best part? It's completely open source!
Come chat with me and my wonderful collaborators about Time Series Foundation Models at the NeurIPS Workshops on Time Series Age of Large Models, Systems 2 Reasoning, and Foundation Models Interventions!
December 15, 2024 at 4:20 PM
Come chat with me and my wonderful collaborators about Time Series Foundation Models at the NeurIPS Workshops on Time Series Age of Large Models, Systems 2 Reasoning, and Foundation Models Interventions!
Interested in learning about making univariate time series foundation models multivariate with only 24 parameters?
Check out our poster on Long Context TSFMs in the NeurIPS’24 FITML Workshop, East Exhibition Hall A at 11:30 AM
Check out our poster on Long Context TSFMs in the NeurIPS’24 FITML Workshop, East Exhibition Hall A at 11:30 AM
Excited to be at NeurIPS'24, where I'll be presenting at several workshops! Looking forward to chatting about (time series & tabular) foundation models, data science agents, or ML for healthcare!
Also, I'm also on the industry job market, looking forward to connect 😁!
Also, I'm also on the industry job market, looking forward to connect 😁!
December 14, 2024 at 6:50 PM
Interested in learning about making univariate time series foundation models multivariate with only 24 parameters?
Check out our poster on Long Context TSFMs in the NeurIPS’24 FITML Workshop, East Exhibition Hall A at 11:30 AM
Check out our poster on Long Context TSFMs in the NeurIPS’24 FITML Workshop, East Exhibition Hall A at 11:30 AM
Reposted by Mononito Goswami
Excited to be at NeurIPS'24, where I'll be presenting at several workshops! Looking forward to chatting about (time series & tabular) foundation models, data science agents, or ML for healthcare!
Also, I'm also on the industry job market, looking forward to connect 😁!
Also, I'm also on the industry job market, looking forward to connect 😁!
December 9, 2024 at 3:25 AM
Excited to be at NeurIPS'24, where I'll be presenting at several workshops! Looking forward to chatting about (time series & tabular) foundation models, data science agents, or ML for healthcare!
Also, I'm also on the industry job market, looking forward to connect 😁!
Also, I'm also on the industry job market, looking forward to connect 😁!
Excited to be at NeurIPS'24, where I'll be presenting at several workshops! Looking forward to chatting about (time series & tabular) foundation models, data science agents, or ML for healthcare!
Also, I'm also on the industry job market, looking forward to connect 😁!
Also, I'm also on the industry job market, looking forward to connect 😁!
December 9, 2024 at 3:25 AM
Excited to be at NeurIPS'24, where I'll be presenting at several workshops! Looking forward to chatting about (time series & tabular) foundation models, data science agents, or ML for healthcare!
Also, I'm also on the industry job market, looking forward to connect 😁!
Also, I'm also on the industry job market, looking forward to connect 😁!
Reposted by Mononito Goswami
If you’re headed to NeurIPS 2024, and want to learn about IBM Research Human-Centered Trustworthy AI, there are many many opportunities to do so.
1. Start with the official NeurIPS explorer by @henstr.bsky.social and @benhoover.bsky.social. It is infoviz par excellence. neurips2024.vizhub.ai
1. Start with the official NeurIPS explorer by @henstr.bsky.social and @benhoover.bsky.social. It is infoviz par excellence. neurips2024.vizhub.ai
Tips
neurips2024.vizhub.ai
December 7, 2024 at 2:50 AM
If you’re headed to NeurIPS 2024, and want to learn about IBM Research Human-Centered Trustworthy AI, there are many many opportunities to do so.
1. Start with the official NeurIPS explorer by @henstr.bsky.social and @benhoover.bsky.social. It is infoviz par excellence. neurips2024.vizhub.ai
1. Start with the official NeurIPS explorer by @henstr.bsky.social and @benhoover.bsky.social. It is infoviz par excellence. neurips2024.vizhub.ai
Reposted by Mononito Goswami
if you're a PhD student at CMU doing AI/ML, lmk if you want to be added to this starter pack.
(I don't belong in this list, but I don't know how to remove myself from this pack 😂)
go.bsky.app/9APVxQQ
(I don't belong in this list, but I don't know how to remove myself from this pack 😂)
go.bsky.app/9APVxQQ
December 3, 2024 at 6:27 PM
if you're a PhD student at CMU doing AI/ML, lmk if you want to be added to this starter pack.
(I don't belong in this list, but I don't know how to remove myself from this pack 😂)
go.bsky.app/9APVxQQ
(I don't belong in this list, but I don't know how to remove myself from this pack 😂)
go.bsky.app/9APVxQQ
Reposted by Mononito Goswami
The question that a reviewer should ask themselves is:
Does this paper take a gradient step in a promising direction? Is the community better off with this paper published? If the answer is yes, then the recommendation should be to accept.
Does this paper take a gradient step in a promising direction? Is the community better off with this paper published? If the answer is yes, then the recommendation should be to accept.
November 27, 2024 at 6:30 PM
The question that a reviewer should ask themselves is:
Does this paper take a gradient step in a promising direction? Is the community better off with this paper published? If the answer is yes, then the recommendation should be to accept.
Does this paper take a gradient step in a promising direction? Is the community better off with this paper published? If the answer is yes, then the recommendation should be to accept.
Reposted by Mononito Goswami
Medically adapted foundation models (think Med-*) turn out to be more hot air than hot stuff. Correcting for fatal flaws in evaluation, the current crop are no better on balance than generic foundation models, even on the very tasks for which benefits are claimed.
arxiv.org/abs/2411.04118
arxiv.org/abs/2411.04118
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
Several recent works seek to develop foundation models specifically for medical applications, adapting general-purpose large language models (LLMs) and vision-language models (VLMs) via continued pret...
arxiv.org
November 26, 2024 at 6:12 PM
Medically adapted foundation models (think Med-*) turn out to be more hot air than hot stuff. Correcting for fatal flaws in evaluation, the current crop are no better on balance than generic foundation models, even on the very tasks for which benefits are claimed.
arxiv.org/abs/2411.04118
arxiv.org/abs/2411.04118