[ICML'25] Price of Freedom: Exploring Tradeoffs between Expressivity and Computational Efficiency in Equivariant Tensor Products
The official implementation of the Price of Freedom: Exploring Tradeoffs between Expressivity and Computational Efficiency in Equivariant Tensor Products, published at ICML 2025.
We recommend using uv:
uv sync
source .venv/bin/activate
uv pip install -e .Alternatively, you can install the dependencies manually:
python -m venv .venv
source .venv/bin/activate
uv pip install -r requirements.inbash shell/run_tetris_experiments.shCheckout experiments/Gaunt-Tensor-Product-S2Grid. Refer to the original code for reproducing the experiments
experiments/Gaunt-Tensor-Product-S2Grid/analyze_results.ipynb
bash shell/run_cpu_timing.shbash shell/run_gpu_timing.shNsight Compute installation needed. Make sure the GPU counters are enabled.
bash shell/run_nsight_profiling.sh
notebooks/benchmarking_viz