7 citations · 10 across the 16 of their papers we have counts for
17 papers
AMDKernelVault: Large-Scale Datasets and Agentic Training for AMD GPU Kernel Optimization
Ji Liu, Saptarshi Majumder, Yiqing Huang +14
We introduce AMDKernelVault, an open HIP and Triton kernel corpus and training framework for recent AMD CDNA GPUs. Existing LLM-based kernel agents are largely CUDA/NVIDIA-centric…
multi-Stochastic Core Architecture for Scaling Probabilistic Ising Machines
Chirag Garg, Pratik Brahma, Saavan Patel +1
Ising Machines offer vast potential to solve NP-hard optimization problems efficiently that are intractable to solve using conventional computing architecture. A lot of these optim…
Pause and Think: A Dataset and Benchmark for Video-Grounded Assistive Action Suggestion
Shivam Singh, Saptarshi Majumder, Pratik Prabhanjan Brahma +2
Recent Vision-Language Models (VLMs) struggle with grounded reasoning, temporal consistency, and context aware planning in videos. We introduce pause-and-think-T, a reasoning-centr…
DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference
Aditya Kumar Singh, Hitesh Kandala, Pratik Prabhanjan Brahma +2
Vision-language models (VLMs) have achieved remarkable multimodal understanding and reasoning capabilities, yet remain computationally expensive due to dense visual tokenization. E…
AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection
Pretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu +1
Evolutionary agentic systems intensify the trade-off between computational efficiency and reasoning capability by repeatedly invoking large language models (LLMs) during inference.…
Hardware Acceleration of Frustrated Lattice Systems using Convolutional Restricted Boltzmann Machine
Pratik Brahma, Junghoon Han, Tamzid Razzaque +2
Geometric frustration gives rise to emergent quantum phenomena and exotic phases of matter. While Monte Carlo methods are traditionally used to simulate such systems, their samplin…
Instella: Fully Open Language Models with Stellar Performance
Jiang Liu, Jialian Wu, Xiaodong Yu +10
Large language models (LLMs) have demonstrated remarkable performance across a wide range of tasks, yet the majority of high-performing models remain closed-source or partially ope…
Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks
Jianghui Wang, Vinay Joshi, Saptarshi Majumder +7
The demand for AI-generated GPU kernels is rapidly growing, influenced by the need for scalable, hardware-optimized solutions in both industry and academia. As deep learning worklo…
SAND-Math: Using LLMs to Generate Novel, Difficult and Useful Mathematics Questions and Answers
Chaitanya Manem, Pratik Prabhanjan Brahma, Prakamya Mishra +2
The demand for Large Language Models (LLMs) at multiple scales, capable of sophisticated and sound mathematical reasoning, continues to grow. However, the development of performant…
TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering
Vinay Joshi, Pratik Prabhanjan Brahma, Zicheng Liu +1
The key-value (KV) cache in transformer models is a critical component for efficient decoding or inference, yet its memory demands scale poorly with sequence length, posing a major…
Accelerated Modelling of Interfaces for Electronic Devices using Graph Neural Networks
Pratik Brahma, Krishnakumar Bhattaram, Sayeef Salahuddin
Modern microelectronic devices are composed of interfaces between a large number of materials, many of which are in amorphous or polycrystalline phases. Modeling such non-crystalli…
Emergent Classical Spin Liquid Phases in an Ising Lattice via Size Effects
Pratik Brahma, Sayeef Salahuddin
We show that a classical spin liquid phase can emerge from an ordered magnetic state in the two-dimensional frustrated Shastry-Sutherland Ising lattice due to lateral confinement.…
Topological Edge Conduction Induced by Strong Anisotropic Exchange Interactions
Shehrin Sayed, Pratik Brahma, Cheng-Hsiang Hsu +1
We predict that an interplay between isotropic and anisotropic exchange interactions in a honeycomb lattice structure can lead to topological edge conduction when the anisotropic i…
Momentum relaxation effects in 2D-Xene field effect device structures
Anirban Basak, Pratik Brahma, Bhaskaran Muralidharan
We analyze the electric field driven topological field effect transition on 2D-xene materials with the addition of momentum relaxation effects, in order to account for dephasing pr…
Single Shot Multitask Pedestrian Detection and Behavior Prediction
Prateek Agrawal, Pratik Prabhanjan Brahma
Detecting and predicting the behavior of pedestrians is extremely crucial for self-driving vehicles to plan and interact with them safely. Although there have been several research…
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction
Luca Anthony Thiede, Pratik Prabhanjan Brahma
Trajectory or behavior prediction of traffic agents is an important component of autonomous driving and robot planning in general. It can be framed as a probabilistic future sequen…
Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs
Pratik Prabhanjan Brahma, Qiuyuan Huang, Dapeng Wu
While deep learning has pushed the boundaries in various machine learning tasks, the current models are still far away from replicating many functions that a normal human brain can…