Mononito Goswami
@MononitoGoswami
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Coding Agents, Applied Scientist @AmazonScience | PhD @CarnegieMellon | Ex @GoogleAI
Joined August 2017
🎓 I recently graduated with my Ph.D at @CarnegieMellon, and started as an Applied Scientist @AmazonScience working on coding agents 🧑‍💻! . I'm grateful for everyone who made this journey possible ❤️
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RT @jowettbrendan: BREAKING: AWS just solved the biggest AI agent bottleneck. No more custom glue code. No more M×N tool chaos. No more pr….
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RT @AmazonScience: Amazon researchers present novel LLM compression: Wanda++ compresses 7B parameter models in under 10 minutes on a single….
amazon.science
A new philosophy for developing LLM architectures reduces energy requirements, speeds up runtime, and preserves pretrained-model performance.
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RT @innixma: 💥 Tabular ML just got a massive upgrade. 🚀 AutoGluon 1.4.0 is here — our biggest release yet. 🔥 Extreme Preset → biggest perf….
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RT @SwamiSivasubram: 🚀 Big breakthrough: Amazon EKS now scales up to an incredible 100,000 worker nodes in a single cluster, enabling custo….
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RT @YoungseogC: Life update!! 📣🎉. I defended my PhD thesis!. Big thanks to my wonderful advisor Jeff Schneider and thesis committee @zicoko….
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RT @KLieret: Releasing mini, a radically simple SWE-agent: 100 lines of code, 0 special tools, and gets 65% on SWE-bench verified!.Made for….
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RT @xiyuanzh: 🔥 Excited to announce Mitra, our new tabular foundation model, featured on Amazon Science! . Mitra is pretrained purely on sy….
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RT @aryopg: New Anthropic Research: “Inverse Scaling in Test-Time Compute”. We found cases where longer reasoning leads to lower accuracy.….
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RT @AmazonScience: Introducing Mitra: a foundation model from Amazon researchers that outperforms traditional methods for tabular data by l….
amazon.science
Generating diverse synthetic prior distributions leads to a tabular foundation model that outperforms task-specific baselines.
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RT @innixma: Foundation Models for Structured Data Workshop, Today, ICML 2025, starting at 9 AM PT, West Ballroom D, best room in the build….
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RT @innixma: 🚨 Join us tomorrow at the 1st ICML Workshop on Foundation Models for Structured Data!. 📅 July 18 | ⏰ 9 AM - 5 PM.📍 West Ballro….
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At @icmlconf today, @inverse_hessian and I will share our thoughts on what time series foundation models (No, not LLMs) really learn, how to steer them effectively, and making mechanistic interpretability useful đź‘€ . 4:30 PM, West Exhibition Hall B2-B3, stand # 507.
Curious about what Time Series Foundation Models actually learn? Stop by our poster today at #ICML2025! .Presented by @MononitoGoswami and myself!. đź“ŤWest Exhibition Hall B2-B3, stand #507.
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RT @inverse_hessian: Curious about what Time Series Foundation Models actually learn? Stop by our poster today at #ICML2025! .Presented by….
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Friday, 9:00 AM. Helping organize the Foundation Models for Structured Data (, and also presenting our work on building scalable benchmarks for (time series) machine learning engineering (.
arxiv.org
We introduce TimeSeriesGym, a scalable benchmarking framework for evaluating Artificial Intelligence (AI) agents on time series machine learning engineering challenges. Existing benchmarks lack...
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Wednesday, 4:30 PM PDT. Presenting our work Exploring Representations and Interventions in Time Series Foundation Models ( along with @inverse_hessian in (West Exhibition Hall B2-B3 hashtag#W-507).
arxiv.org
Time series foundation models (TSFMs) promise to be powerful tools for a wide range of applications. However, their internal representations and learned concepts are still not well understood. In...
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Here's where you can find me: . Tuesday, 7:45 PM. Panel on Breaking Into Industry (West Ballroom A).
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🇨🇦 At @icmlconf, this week! . Let's connect if you're interested in (coding) agents, foundation models for structured data, and ML evaluation and benchmarking!. Also my team at @AmazonScience is hiring! If you are interested in working on coding agents, let's chat!
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RT @ajassy: Introducing Kiro, an all-new agentic IDE that has a chance to transform how developers build software. Let me highlight three….
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My thesis @AutonLab changes that 🧵. I built tools to democratize time series intelligence - making powerful predictions accessible to everyone, not just ML experts. 🎥 Talk: 📄Thesis:
ri.cmu.edu
This thesis aims to democratize time series intelligence by making advanced modeling capabilities accessible to users without specialized machine learning knowledge. We pursue this goal through three...
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