Mazda Moayeri (@mlmazda) 's Twitter Profile
Mazda Moayeri

@mlmazda

PhD Student @umdcs advised by @SoheilFeizi. Frmr intern @ MSR + FAIR. Interpretability / Reliability / Fairness. salient-imagenet.cs.umd.edu

ID: 1508954790788747265

linkhttp://cs.umd.edu/~mmoayeri calendar_today29-03-2022 23:50:48

211 Tweet

1,1K Followers

257 Following

Aya Abdelsalam Ismail (@asalam_91) 's Twitter Profile Photo

Exciting news! I've left Prescient to co-found Guide Labs an interpretability startup with Julius Adebayo. We're building interpretable foundational models to address key AI challenges. While I loved my time at Prescient, I'm thrilled to build something I'm very passionate about!

Soheil Feizi (@feizisoheil) 's Twitter Profile Photo

Wow, I am speechless and deeply honored to receive the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the U.S. government on outstanding scientists and engineers early in their careers. I’m grateful for the recognition of our

Mazda Moayeri (@mlmazda) 's Twitter Profile Photo

thx for the kind words Jen! Can’t wait for the talk next Thurs at 11am EST ⏰ and to meet some Cohere folks. Love their commitment to building AI w the whole world in mind 🌎🌍🌏

Mazda Moayeri (@mlmazda) 's Twitter Profile Photo

happening at 11am est / 17:00 cet. link: meet.google.com/vje-hmzd-rah Excited to hear how others plan to center their values + impact thru their work (as well as share my experience), at a time when the context for our work is shifting dramatically.

Soheil Feizi (@feizisoheil) 's Twitter Profile Photo

🚀 Introducing Data Agents— generate accurate, reasoning-based AI benchmarks from your own data in minutes! ⚡ With Data Agents, we’ve created 100+ benchmarks with 100K+ samples using docs from tools like React, PyTorch, Kubernetes, LangChain, and more. 📂 All benchmarks are

🚀 Introducing Data Agents— generate accurate, reasoning-based AI benchmarks from your own data in minutes!

⚡ With Data Agents, we’ve created 100+ benchmarks with 100K+ samples using docs from tools like React, PyTorch, Kubernetes, LangChain, and more.

đź“‚ All benchmarks are
Vidhisha Balachandran (@vidhisha_b) 's Twitter Profile Photo

In Singapore! We have an exciting set of talks and papers at #ICLR2025. Besmira Nushi 💙💛 , Vibhav and I will be around to chat about our recent inference scaling evaluation report. You can also talk to Mazda Moayeri and Alessandro Stolfo about their internship projects on model understanding.

In Singapore! We have an exciting set of talks and papers at #ICLR2025.

<a href="/besanushi/">Besmira Nushi 💙💛</a> , Vibhav and I will be around to chat about our recent inference scaling evaluation report. You can also talk to <a href="/MLMazda/">Mazda Moayeri</a>  and <a href="/alesstolfo/">Alessandro Stolfo</a> about their internship projects on model understanding.
Ekdeep Singh Lubana (@ekdeepl) 's Twitter Profile Photo

We then analyze what the hierarchical concepts look like, finding an intriguing set of **shared** concepts across modality-specific backbones to enable hierarchical structures. This stands in contrast to the “usual understanding” of disparate representations spaces in VLMs! 8/11

Yijia Shao (@echoshao8899) 's Twitter Profile Photo

🚨 70 million US workers are about to face their biggest workplace transmission due to AI agents. But nobody asks them what they want. While AI races to automate everything, we took a different approach: auditing what workers want vs. what AI can do across the US workforce.🧵

🚨 70 million US workers are about to face their biggest workplace transmission due to AI agents. But nobody asks them what they want.

While AI races to automate everything, we took a different approach: auditing what workers want vs. what AI can do across the US workforce.đź§µ