activity
20182026
most citedSemantically Invariant Text-to-Image Generation

9 citations · 10 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

NVIDIA, :, Aaron Blakeman +572

We introduce Nemotron 3 Ultra, a 550 billion total and 55 billion active parameter Mixture-of-Experts Hybrid Mamba-Attention language model. We pre-trained Nemotron 3 Ultra on 20 t…

cs.LG2026

Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

NVIDIA, :, Aakshita Chandiramani +544

We describe the pre-training, post-training, and quantization of Nemotron 3 Super, a 120 billion (active 12 billion) parameter hybrid Mamba-Attention Mixture-of-Experts model. Nemo…

cs.LG2026

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Edward Lin, Sahil Modi, Siva Kumar Sastry Hari +30

As agentic AI systems become increasingly capable of generating and optimizing GPU kernels, progress is constrained by benchmarks that reward speedup over software baselines rather…

cs.CV2019

Fully Convolutional Networks for Handwriting Recognition

Felipe Petroski Such, Dheeraj Peri, Frank Brockler +2

Handwritten text recognition is challenging because of the virtually infinite ways a human can write the same message. Our fully convolutional handwriting model takes in a handwrit…

cs.CV2019

Show, Translate and Tell

Dheeraj Peri, Shagan Sah, Raymond Ptucha

Humans have an incredible ability to process and understand information from multiple sources such as images, video, text, and speech. Recent success of deep neural networks has en…

cs.LG2018

Vector Learning for Cross Domain Representations

Shagan Sah, Chi Zhang, Thang Nguyen +3

Recently, generative adversarial networks have gained a lot of popularity for image generation tasks. However, such models are associated with complex learning mechanisms and deman…

cs.LG2018★ 9 cited

Semantically Invariant Text-to-Image Generation

Shagan Sah, Dheeraj Peri, Ameya Shringi +4

Image captioning has demonstrated models that are capable of generating plausible text given input images or videos. Further, recent work in image generation has shown significant…

cs.CL2018★ 1 cited

Semantic Sentence Embeddings for Paraphrasing and Text Summarization

Chi Zhang, Shagan Sah, Thang Nguyen +4

This paper introduces a sentence to vector encoding framework suitable for advanced natural language processing. Our latent representation is shown to encode sentences with common…