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Posts
NeurIPS 2025: Moments and Takeaways from a Landmark Conference
Published:
Attending NeurIPS 2025 was an unforgettable experience that left me both inspired and contemplative about the future of artificial intelligence. It was my first time at the conference, and I was struck by the sheer scale and diversity of the event. From cutting-edge research presentations to lively panel discussions and networking opportunities, NeurIPS felt like a microcosm of the broader AI ecosystem. One of the most striking aspects of NeurIPS 2025 was the palpable sense of momentum in the field. Advances in large language models, multimodal systems, and reinforcement learning were on full display, with researchers showcasing impressive results that pushed the boundaries of what AI can achieve. At the same time, there was a strong emphasis on ethical considerations, safety, and societal impact, reflecting a growing awareness of the responsibilities that come with developing powerful technologies.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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talks
Structural Health Monitoring of Steel Truss Bridges Subjected to Environmental Variability
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Stochastic Subspace via Probabilistic Principal Component Analysis for Model-form Uncertainty
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Stochastic Subspace via Probabilistic Principal Component Analysis for Model-form Uncertainty
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.